Artificial Intelligence in Healthcare: A Critical Review of Ethical, Social, and Clinical Implications

Abstract

Artificial intelligence, or AI, is really changing how healthcare works. It helps with things like better diagnoses, helping doctors decide what to do, and making predictions about health. This article takes a good look at the ethical, social, and how things change in clinics when AI is used in healthcare. The article uses information that's already out there, like studies and reports, and looks at it closely to find common themes. The findings show that AI does make diagnoses better, makes work run smoother, and helps patients get better. But it also brings up some ethical problems. These include AI being unfair because of how it's programmed, it being hard to understand how AI makes decisions, and risks to people's private information. The social side of things is that AI could either make health differences worse or better and change the jobs people do, meaning that new training is needed. Clinically, AI makes medicine more accurate but also makes us worry about relying too much on machines and not giving patients enough say. The paper says that we need rules that mix together the law, ethics, and technology to make sure AI is used responsibly. Recommendations include checking AI for bias, building in privacy from the start, working together with everyone involved, and making sure people learn about AI ethics. By balancing innovation with being responsible, healthcare can use AI to make things fairer, more open, and more focused on patients. This is what's needed for equitable care.