AI

Top 5 Artificial Intelligence Courses And Certifications That Will Boost Your Career And Business in 2025

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Top 5 Artificial Intelligence Courses And Certifications That Will Boost Your Career And Business in 2025 (1)

With the rise in Artificial Intelligence across the landscape of the world and the disruption it brings to almost every aspect of human life, no one wants to miss out on the trend. But a trend? I don’t think so Artificial Intelligence is now beyond just another trend, as trends fade away after a certain- short or extended period of time. But AI, just like the internet was introduced and blew up in the early 1900s and has been a part of human existence till tomorrow, so also artificial intelligence is gradually becoming a significant part of our existence as humans in this civilization which is here to stay. Its significance is extremely powerful as it is on track to be the key technology that enables business transformation and gives companies a competitive edge. AI can help businesses be more productive by automating their processes, which includes using robotics and autonomous vehicles. It can also help by supporting their existing workforces with AI technologies such as assisted and augmented intelligence. Most organizations are working to implement AI in their business processes and products. Organizations are using AI in various business applications, including finance, marketing, healthcare, smart home devices, retail, fraud detection and security surveillance. With this bird’s eye view of the significance of Artificial Intelligence, it is very expedient that as a career professional and or a business individual or an entrepreneur who wants to continually stay on the crux of their journey, you should have a definite, whether basic or in depth knowledge of this whole new world. But why’s a certification in AI important? It is important for various reasons including: Taking a course and getting certified in AI can set an individual on a trajectory of a successful and adventurous career. There are constant changes in the field of AI, and it can be a challenge to keep up with that pace of change. A certification would inform anyone you are familiar with the latest developments in the field A certification in AI can set you apart from the competition and reveal to employers that you have the skills they want and need AI demands advanced education. A National University examination of 15,000 job postings on Indeed.com found that nearly 80% of AI job openings require candidates to have a master’s degree, while 60% demanded at least a bachelor’s degree. Another 18% required a PhD, while only 8% would consider a high school diploma.   So here are the Top 5 AI Courses and Certifications IBM Applied AI Professional Certificate by Coursera This is a beginner-level AI certification course that will help students know how to do the following including: Understand the basics of artificial intelligence; its applications and use cases; and key AI technologies, such as machine learning, deep learning and neural networks. Build AI-powered tools using IBM Watson AI services, APIs and Python with minimal coding. Create virtual assistants and AI chatbots without programming and deploy them on websites. Apply computer vision techniques using Python, OpenCV and Watson. Develop custom image classification models and deploy them in the cloud. Requirements: While the series is open to everyone with both technical and nontechnical backgrounds, the final two courses require some knowledge of Python to build and deploy AI applications. For students with no programming background, an introductory Python course is included. You can check it out here Deep Learning Specialization by Andrew Ng via Coursera This detailed series of five intermediate to advanced courses, covers neural networks and deep learning as well as their applications. Learners will be able to: Build and train deep neural networks. Identify key architecture parameters. Implement vectorized neural networks and deep learning to various applications. Build a convolutional neural network. Apply it to detection and recognition tasks. Use neural style transfer to generate art. Apply algorithms to image and video data. Students will also build and train recurrent neural networks, work with natural language processing (NLP) and word embeddings, and use HuggingFace tokenizers and transformer models to perform named entity recognition and question answering. Requirements: Intermediate Python skills; basic programming; understanding of loops, data structures; and a basic understanding of linear algebra and machine learning (ML). To get started, click here Google Cloud’s Introduction to Generative AI Learning Path This certificate inclusive course by Google covers what generative AI and large language models are for beginners. It is oriented around specific Google applications, which is only good if you are a Google shop. Tools used include Google Tools and Vertex AI. It includes a section on responsible AI, encouraging the learner to keep ethical practices around the generative AI in mind. To start, check here Master the Fundamentals of AI and Machine Learning via LinkedIn Learning This bundle, open to everyone regardless of experience, includes 10 short courses presented by industry experts. They aim to help anyone master the fundamentals and future of AI and ML (machine learning) and make more educated decisions and contributions in their organizations. Students will learn how leading companies are using AI and machine learning to alter how they do business as well as gain insight into addressing future ideas regarding issues of accountability, security and clarity in AI. They will also earn a certificate of completion from LinkedIn Learning after completing the following 10 courses: AI Accountability Essential Training. Artificial Intelligence Foundations: Machine Learning. Artificial Intelligence Foundations: Thinking Machines. Artificial Intelligence Foundations: Neural Networks. Cognitive Technologies: The Real Opportunities for Business. AI Algorithms for Gaming. AI The LinkedIn Way: A Conversation with Deepak Agarwal. Artificial Intelligence for Project Managers. Learning XAI: Explainable Artificial Intelligence. Artificial Intelligence for Cybersecurity. Register here Artificial Intelligence A-Z 2024: Build 7 AI + LLM & ChatGPT via Udemy This course via Udemy is a comprehensive online course designed to teach both the fundamentals as well as advanced concepts of AI, machine learning and deep learning. The key topics covered include State-of-the-art AI models Q-learning and deep Q-learning Proximal policy optimization (PPO) Large language models, transformers, NLP techniques for chatbots … Read more

10 And More Powerful Artificial Intelligence (AI) Tools to Help You Fast Track Your Career

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10 Powerful Artificial Intelligence (AI) Tools to Help You Fast Track Your Career

In my previous article on AI (Artificial Intelligence): the past, the now and the future- you can read it here. I did mention how the world of artificial intelligence (AI) is affecting and would affect the way things are done. Today, however, I would be pressing further on the topic as I share 10 and more powerful AI tools that can empower and help you improve your career or business. Whether you are a creative, an entrepreneur or one just trying to explore, these tools come very handy for you. So, let’s dive in. We forget that other artificial intelligences are busy ingeniously working in the background on an increasing number of diverse disciplines while ChatGPT spread across the media like wildfire. And in my bid to bring a number of them to your knowledge and bring you up to speed, I went in search of them. For some, you might have known and used them before now, while for some, you might just be knowing right now. It’s fine. However, here is a non-exhaustible list of powerful artificial intelligence or AI tools you can explore. 1. Patterned: Patterned generates royalty-free and unique patterns for your product! You can search & create thousands of such patterns for every surface with this AI tool! Please click here to check it out. 2. Cleanvoice: This tool removes spurious sounds, stuttering, and mouth sounds from your podcasts or recordings. You can follow this link to make more clean voice(I mean, clean podcasts). 3. Beatoven: Creates unique royalty-free music. It uses advanced AI music generation techniques to compose unique mood-based music to suit every part of your video or podcast. You can start creating for free here. 4. Podcast: An AI that allows you to record studio-quality podcasts, directly from a simple computer. Explore here. 5. Copy: Generates content and avoids blank page syndrome. Check here 6. Illustroke: Creates stunning vector illustrated images from text prompts. Do you want to try it out? Here 7. Krise: Removes background voices, noises and echoes during calls. Start making clean calls here. 8. Stockimg: This is another image generation AI tool. With this tool, you can generate book covers, stock images, posters and the like. Click here to sign in. 9. Flair: Generates photo shoots of your products. It is simply a box of magic. Check it out here. 10. CopyMonkey: Makes it easy to write product listings on Amazon. CopyMonkey generates and optimizes Amazon listings in seconds. It helps place all of the important keywords in your Amazon listing to get you ranking organically on the first page. Follow this link to try it out. 11. Ocoya: Facilitates the creation and programming of content on social networks. Try it out. 12. Unbounce: Generates landing pages and emails. Check it out. 13. Vidyo: Generates videos for social networks from longer videos. Start generating here. 14. Quickchat: Chatbots that talk like humans for customer relations. Get in here. 15. Puzzle: Creates a knowledge base or glossary from documents. Try it out here. 16. Soundraw: Generates royalty-free background music. Check it out here. 17. Cleanup.picture: Removes objects, defects, people or text from your images. Try it out now. 18. Looka: This AI generates brand names and logos. Start creating. 19. Synthesia: Makes it easy to create training videos by simply typing text. You can try it out today. 20. Otter: Record meetings and take notes in real-time. Link. It is an AI meeting assistant. 21. Thundercontent: Generates all types of content. Start creating here. These are simply just a few of the myriads of AI tools that are available out there that can supercharge your career and business. Are there other AI (Artificial Intelligence) tools you know or have you come across that you can add to this list? Please share. I would be really excited to know and check them out.

Is Artificial Intelligence a Curse or a Blessing?

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Is Artificial Intelligence a Curse or a Blessing

It was in high school I began to hear about artificial intelligence (AI), back in 2010. I had never thought it to be something serious. Well, maybe because at the time, I was not exposed to computers so I couldn’t have understood the AI (artificial intelligence) topic. My first real exposure to a computer system was when I got admitted into college to study Pharmaceutical Technology. Sigh… “Pharmaceutical Technology and computers!? How do they relate?” You might want to ask. Oh well, computer study was one of the required courses I needed to take to graduate. And that was the beginning of my interaction with computer systems till this very moment. But, recently there has been a lot of buzz around artificial intelligence (AI) that spurred the need to really delve into this topic a little deeper. Just like back in the days when computer systems were newly released and there was a lot of intoxicating excitement and fears about how they would take away all the jobs in the world. In the same way, the fear of artificial intelligence and robotics rendering everyone in the world jobless has covered the landscape of the entire world like the water covers the sea. But follow me as I open this mystery layer after layer and lay it bare in bits and pieces just so you can devour it soothingly. From the Beginning: History of Computers and Artificial Intelligence First, we’ll start with the first thing; the history of computers. Trust me, I am not going to bore you with historical tales. I will make it as interesting as your fav meal😍. So, let’s go! At some point in antiquity, there existed no technological device that could aid man in processing data, he solely depended on his crude ingenuity to make statistical calculations and solve hard problems. But gradually, computers began to creep into (more like, walk into) human lives. Right from Abacus, invented about 4000 thousand years ago to Napier’s Bone and down to the most recent personal computers that we use, just like the one with you right now.😁 The Magic is Computers Can you imagine the stress and ugly scene you would have to pass through visiting the filling station and you begin to pack fuel from the pit into your vehicle? But with super ease, you can inject the pump into your fuel tank and within a few minutes, it pumps in fuel, gives you the exact quantity of fuel you purchased and calculates the amount you need to pay with accurate precision. Now, that is the power of computers and subtly artificial intelligence As an everyday citizen, you hear a prediction of weather change at a particular time and just as it was predicted, it happened and you wonder how they were able to come up with such a succinct prediction, well that’s just the power of computers at work. I am beginning to wonder how long it took Moses to take a census of the children of Israel back in the days while they journeyed in the wilderness. I am sure it must have taken him not just a lot of time, but a lot of manpower, logistics and a host of other things too. But here is how the 1890 U.S. census was efficiently done (well, compared to previous years), through the help of a computer system that could tabulate statistics and record or sort data or information. ENIAC may have performed more computations over a ten-year period than all of humanity combined, up until 1955 when a breakthrough occurred. Throughout the history of the development of the computer system, the basic essence behind the innovative move is to help humans become more efficient. But how did the first computer impact lives? More Impacts Thanks to computers, harder tasks became a lot simpler, new designs for cars and other forms of transportation were created, space exploration became a reality, entertainment improved, and more sickness remedies were discovered, among other things. The impact of technology on our life is extensive. They certainly made life easier, even though you might not realize it. But there was a huge problem! People began to fight these systems. In the UK, 19th century, a movement that became known as the Luddites struck back at the increased use of computers and automation. They rioted, smashed machines and even set fire on business owners’ homes. Now Artificial Intelligence This fear of AI and robotics taking over jobs still exists and is spreading like fire in the wild and yes, rightly so, there have been accounts of job displacements in big corporations like Google (12,000 workers sacked), Amazon (18,000), Microsoft (10,000) and a host of others. Reports have it that by the mid-2030s one-third of all jobs could face the risk of being automated, consequently leading to the loss of jobs of those skilled in those areas. Even the lawyer is at risk as history was made in February 2023 when an AI (artificial intelligence) lawyer defended his client in the law court. And Medics too would have a pound of flesh. But what does the future hold amidst all these fears? According to many estimates, there will be more jobs created over the next few years than the ones lost to automation. This smiles a brightness of hope, right? But how do you get prepared for this future of Artificial Intelligence (AI)? And so, while big changes are coming, a little advanced planning — by workers who stand to be replaced and the companies that employ them — goes a long way. In short, stop fretting and start acting! There’s no doubt that the artificial intelligence or AI revolution will require re-adjustments and a great deal of sacrifice. But despairing rather than preparing for what’s here is unproductive and, perhaps, even reckless. We must remember that our human knack for compassion and empathy is going to be a valuable asset in the future workforce and that jobs hinged on care, creativity … Read more

3 Steps To Write Good AI Prompts

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Ai prompt

With over 300 million AI users globally, everyone is trying to figure out how to write good AI prompts. ChatGPT and other forms of AI invaded us quickly and a lot of users still struggle to write the right prompts.  Prompting your AI tool correctly does not only save you time but enhances the results you obtain. Let’s get started on how you can rightly prompt AI to get the best result for your intent.  What is An AI Prompt? AI (artificial intelligence) prompt is a means of communication between a human and a large language model telling the model to generate an intended response.   Think of AI prompts as a list of orders you give the waitress at your favorite restaurant.  You tell the waitress what you want and it is brought to you.  AI prompt provides the AI tool with a piece of information that it is meant to act on. The prompts can be in the form of questions, statements, examples, or codes.  Now that you understand what AI prompts are, are they really important?  Why are Good AI prompts Important?  Imagine telling the waitress at a restaurant to serve you rice while your friend requests for jollof rice. You both requested rice, but your friend is more specific.  Good prompts bridge interaction gaps between humans and AI. Using good prompts;  clearly communicate your intent to the AI tool  when used effectively, helps save time and thereby enhances performance  it increases AI comprehension making it generate the desired response  How to Create Good AI Prompts?  Getting to know your AI tool is the first thing to do in creating AI prompts that give you the best result. Yeah! You should understand what the AI tool can and cannot do. This will guide you in communicating your intentions clearly within the scope of what the tool can do.   You should fulfill three key requirements to create a good AI prompt.  Keep it simple and direct:  Be clear, direct, and concise. Your AI tool doesn’t like unnecessary details. Including several details that are not important will do nothing but to confuse it.  Provide Adequate Context: Contexts are like preliminary maps that help your AI navigate properly. You should provide the right context required to help your AI tool navigate and streamline its search.  Single Task: Overloading several tasks sets the path for inconsistency and error in responses provided by your AI tool. Despite being built to handle different tasks, AI tools cannot multitask. Avoid task overload!  Before you write your next AI prompt, check to ensure you provide clear and concise directives for your AI tool. To ascertain you are on the right track to creating the right prompt,  use this 5 checklist.  Are your instructions clear?  Are there specific details about your request?  Are there examples and ideas to guide? Are there no grammatical errors in your prompts?  Is the prompt following a clear structure?  Communication is key in every relationship. Communicating your intentions clearly is required to prompt your AI tool and get the best response. When prompting AI, you should evaluate the responses it gives and tweak the prompts to get the best out of your AI tool.

Looking Forward; Virtual Reality Technology

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Looking Forward; Virtual Reality Technology

Virtual Reality is the next big thing in the world of technology…  I walked into the Biology class a bit late. That was on purpose, as I had not anticipated sitting in an overwhelming boredom for two hours. It was boring when a lecturer stood in front of the class explaining so obscurely that it took only a sharp brain and God’s grace to understand. Of course, the lecturer cannot be blamed as he tries to impact all he knows, but the method is not always quite effective. I had learned never to sit in front of the class when I was not planning to pay attention. The lecturer targets the front bencher, assumes they are the brightest in the class and continuously throws questions at them. I had learned that the hard way. Naturally, I was also not a back-bencher so the middle seat was perfect.  The class had started and I also started my daydream. My mind was roaming through random stuff until it hit the video I had watched on Virtual Reality the previous day. I had been surfing the internet looking for technological innovations when I came across Virtual Reality Technology. I was in awe! Can you imagine being able to go to Mars, run an Olympic 100 meters, etc., without even leaving your home? Those are things Virtual Reality could do. I know you are thinking impossible. I also thought that, but I then read further and knew it was no joke. Virtual Reality means blocking yourself off from the real world and substituting a computer-generated alternative, thereby simulating bits of completely imaginary worlds. It makes you feel like you are actually somewhere else. Impressive, right? I became even more interested when I discovered that it often involves wearing a wrap-around headset called a head-mounted display, clamping stereo headphones over your ears and touching or feeling your way around your imaginary home using data gloves (gloves with built-in sensors). Just then, an idea popped into my head. Imagine using Virtual Reality in the classroom, a way that I could actually relate to what is being taught.  Oh my God! Have I just discovered the solution to the end of eternal boredom? READ ALSO: Artificial IntelligenceAnd Its Related Usage  Yes, we all have different ways of assimilating, but I doubt anyone would ever find the Virtual Reality method boring! Wow, the class is over. I can’t believe I spent the whole class thinking about Virtual Reality technology. I would say it was worth it, though, if only it could happen.

Artificial Intelligence and Its Regulated Usage

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AI and Its Regulated Usage

Artificial Intelligence (AI) is developing at a rapid pace. For most of the past decade, public concerns about digital technology have focused on the potential abuse of personal data. Ever since OpenAI released ChatGPT into the wild in late 2022, the world has been abuzz with talks of Generative Artificial Intelligence and the future it could create. What is Artificial Intelligence? Artificial Intelligence (AI) can take many forms. As such, there is no agreed single definition of what it encompasses. In general terms, it can be regarded as the theory and development of computer systems to perform tasks that are required by humans. According to IBM, the current real-world applications of AI include: Speaking what has been written (text to speech, natural language processing). Generally looking for patterns in large amounts of data (machine learning). Extracting information from pictures (computer vision). Pulling insights and patterns out of written text (natural language understanding).  Autonomously moving through spaces based on its senses (robotics).  Transcribing or understanding spoken words (speech-to-text and natural language processing). The House of Commons Library revealed some research from Stanford University, and other sources to offer the following definitions: • Artificial General Intelligence (AGI) is an AI system that can undertake any intellectual task/problem that a human can. AGI is a system that can reason, analyse, and achieve a level of understanding that is on a par with humans; something that has yet to be achieved by AI. • Machine learning is a method that can be used to achieve narrow AI; it allows a system to learn and improve from examples, without all its instructions being explicitly programmed. • Narrow AI is designed to perform a specific task (such as speech recognition), using information from specific datasets, and cannot adapt to perform another task. • Deep learning is a type of machine learning whose design has been informed by the structure and function of the human brain and the way it transmits information. As part of its digital strategy, the EU wants to regulate artificial intelligence (AI) to ensure better conditions for the development and use of this innovative technology. In April 2021, the European Commission proposed the first EU regulatory framework for AI. It says that AI systems that can be used in different applications are analysed and classified according to the risk they pose to users. The different risk levels will mean more or less regulation. Once approved, these will be the world’s first rules on AI. Risks of AI The risks of AI include; a. Cognitive behavioural manipulation of people or specific vulnerable groups: for example voice-activated toys that encourage dangerous behaviour in children. b. Social scoring: classifying people based on behaviour, socio-economic status or personal characteristics. c. Real-time and remote biometric identification systems, such as facial recognition. Generative AI Generative AI, like ChatGPT, would have to comply with transparency requirements:  Disclosing that the content was generated by AI.  Designing the model to prevent it from generating illegal content.  Publishing summaries of copyrighted data used for training. More so, the EU gave reasons why AI be regulated. They are; I. Complex and Challenging Implementation: Regulations relating to world-changing technologies can often be too vague or broad to be applicable. This can make them difficult to implement and enforce across different jurisdictions. This is particularly true when accounting for the lack of clear standards in the field. II. Stifling Innovation and Progress: The case could be made that regulations will slow down AI advancements and breakthroughs. That not allowing companies to test and learn will make them less competitive internationally. However, we are yet to see definitive proof that this is true. III. Potential for Overregulation and unintended Consequences: Furthermore, we know that regulation often fails to adapt to the fast-paced nature of technology. AI is a rapidly evolving field, with new techniques and applications emerging regularly. New challenges, risks and opportunities continuously emerge, and we need to remain agile / flexible enough to deal with them. Why Generative Artificial intelligence needs to be regulated A. Safeguarding Human Rights and Safety. B. Ensuring Ethical Use of Artificial Intelligence. C. Mitigating Social and Economic Impact. Read Also: How to Become a Good Brand Marketer Conclusion Governments should collaborate and cooperate to establish broad frameworks while promoting and encouraging knowledge sharing and interdisciplinary collaboration. We need to involve diverse stakeholders in regulatory discussions, while engaging the public in AI policy decisions.  

The Transformative Impact of Artificial Intelligence on Human Routines

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The Transformative Impact of AI on Human Routines

Artificial Intelligence (AI) has emerged as a transformative force, reshaping various facets of human life, including daily routines. As AI technologies continue to advance, their integration into everyday activities has the potential to streamline processes, enhance efficiency, and even prompt a redefinition of what constitutes a “normal” routine. Which are as follows; Automation in Everyday Tasks: AI’s ability to automate repetitive tasks is one of its most significant contributions to human routines. From smart home devices managing household chores to voice-activated assistants organizing schedules, automation frees up time and mental bandwidth for more meaningful activities. Personalized Experiences: AI-driven algorithms analyze vast amounts of data to tailor experiences to individual preferences. From personalized content recommendations on streaming platforms to targeted advertising, AI has the capability to create routines uniquely suited to each person, shaping how we consume information and entertainment. Health and Well-being: AI applications in healthcare contribute to personalized wellness routines. Wearable devices with AI capabilities can monitor health metrics, provide insights into sleep patterns, and offer personalized fitness recommendations, encouraging individuals to adopt healthier lifestyles. Educational Transformation: In the realm of education, AI is revolutionizing learning routines. Adaptive learning platforms use AI algorithms to tailor educational content to individual learning styles, providing a more personalized and effective learning experience. Social Interaction and Connectivity: AI-powered communication tools influence how we connect with others. Chatbots, virtual assistants, and social media algorithms shape our online interactions, impacting the way we communicate and engage in social routines. Impact on Work and Productivity: In the workplace, AI technologies are revolutionizing productivity. Automated workflows, data analysis, and predictive tools contribute to more efficient work routines. However, the integration of AI also raises questions about job displacement and the need for reskilling in the workforce. Cultural and Societal Shifts: As AI becomes more ingrained in daily life, it contributes to cultural and societal shifts. The acceptance of AI-driven routines influences societal norms, challenging traditional ways of working, learning, and interacting. Read Also: Entrepreneur: 7 Reasons Why You Need A Website Conclusion The effect of AI on human routines is undeniable, ushering in a new era of efficiency, personalization, and connectivity. While the transformative impact is evident in various aspects daily life, it is essential to navigate the integration of AI with a thoughtful consideration of ethical implications and a commitment to responsible development. As AI continues to evolve, its influence on human routines will likely deepen, prompting a dynamic interplay between technology and the way we live, work, and connect with the world.

Ethical Issues Of Artificial Intelligence In Healthcare

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Ethical Issues Of AI In Healthcare 300x200

Ethical Issues Of Artificial Intelligence In Healthcare The role of artificial intelligence in healthcare is fast becoming prominent. However, ethical issues such as data privacy, data handling, biases, patient confidentiality, and more have raised concerns about the reliability of AI in healthcare.  Over the past decade, AI and technology (machine learning) have helped to provide new insights into clinical cases and drug discovery. With AI, health workers, particularly nurses, are more well-rested and overburdened with problems machines can solve. This is a massive breakthrough for the healthcare sector.  In this article, we will discuss some of these ethical issues. Data handling and Security  Drug development  Biases  1. Data handling and Security In healthcare, medical personnel use electronic records or data collected from patients can be used for scientific purposes such as clinical and academic research to improve healthcare quality. However, there are risks of these data being hacked by cybercriminals and third parties.  This ethical issue leads to a break in patient-doctor confidentiality. In some scenarios, sensitive data has been sold to unprofessional sources. 2. Drug Development  In drug development, artificial intelligence helps in drug development, which used to be strictly human-led. Data generated from patients can be used to develop specific drugs and models that are gene, organ, and tissue specific depending on the needs of individual patients.  However, concerns are being raised about the current regulatory laws and whether there is a need to implement more rules to allow data privacy, especially in drug development. This is to protect the patient’s privacy.  3. Biases  AI biases are another ethical issue that threatens the growth of AI in the health system. These biases are anomalies that arise when human designers unknowingly introduce them to the AI model during creation. Another instance of bias occurs during incomplete data collection. Although these biases are not intentional, they can lead to differential treatment, improper diagnosis, and less effective treatment. Conclusion  In conjunction with policymakers, the government at all levels needs to work together to ensure that ethical issues, such as data privacy, the safety of patient information, and informed consent, are tackled promptly to have a beautiful working system.  

The Role Of AI In Transforming Healthcare

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The Role Of AI In Transforming Healthcare

The healthcare sector constantly faces a growth in demand in all parts of the world. This demand has prompted the use of AI to transform the healthcare sector.  An increasing population drives this demand, the outbreak of zoonotic and non-zoonotic diseases, a rise in genetic conditions, lifestyle changes, and a continuous cycle of innovative technology. With all these demands, it is difficult for the healthcare sector to keep up without structural and transformational modifications. This is where AI comes in. In combination with machine learning, computer vision, and natural language processing. AI contributes to better diagnosis, treatment prevention and management, personalised care, and delivery of accurate prediction of diseases in the population, all of which have transformed the healthcare sector. Here are some of the uses of AI in healthcare. 1. Imaging and diagnostics The use of AI and diagnostic imaging, especially in radiology, helps to improve imaging analysis and provide adequate care and treatment based on diagnosis. The introduction of AI reduces the chances of error in diagnosing clinical conditions. Examples of diagnostic tools used for imaging include Magnetic Resonance Imaging (MRI), Computed Tomography (CT), and Positron Emission Tomography (PET). 2 Precision medicine Precision medicine focuses on diagnosing and treating patients based on genetic makeup rather than signs and symptoms. The evolution of AI aids healthcare providers to personalise treatments and improve patient outcomes. Furthermore, pharmaceutical companies use precision medicine knowledge to develop more potent drugs with limited side effects. READ ALSO: Wearable Devices: The Impact On Personal Health Conclusion AI in healthcare has come a long way and gives promising solutions for using AI in diagnosis, treatment management, and data collection, which can improve patient outcomes. In the next few years, they have taken over the healthcare sector, thereby improving efficacy and efficiency, reducing the cost of production, and the rise of certain medical conditions. However, concerns and challenges, especially about the ethical indications of AI centered around patient confidentiality, data privacy, and others, should be addressed to have an effective system.