Medicine

Become The Master In The Other Room

by
Become The Master In The Other Room (2)

A cleric once said: if you give your wife good sex, she will forgive you your sins. Are you experiencing premature ejaculation? Is your Gbola (penis) experiencing a weak erection, and your wife is threatening to get satisfaction elsewhere? If your response to these questions is yes, don’t be alarmed. I have a secret solution. Master Boost is a traditional herbal mixture, prepared with modern science and trado-medical knowledge. Master boost is prepared under standard hygiene to help combat weak erections in men and deal a lasting blow to premature ejaculation. It is a miracle worker and a rescuer of the dignity of men. Take two spoonfuls in the morning or night, an hour before each action, and your wife will praise you to the high heavens. READ ALSO: Give Your Clothes Presidential Treat Master Boost is available in all leading pharmacies nationwide. Get Master Boost, and save your dignity.  

Ethical Issues Of Artificial Intelligence In Healthcare

by
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

by
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.