In my Padlet I will be emphasizing three examples that show how AI is being used in medicine today- AI for diagnosis, virtual nursing assistants, and predictive analytics. All three show a different facet of how technology is helping physicians and patients. I think it is important to know about both the advantages and the issues that are associated with it because medicine affects all of us.

One of the biggest areas in which AI is helping medicine is in imaging and diagnostics. AI software can interpret X-rays, MRIs, and CT scans in order to detect such items as tumors, breaks, and diseases that might be missed by doctors. For example AI technology is already being used to help detect early breast cancer earlier than traditional techniques. What I like about this is that it gives doctors more help-not to supplant them but to help them to make more accurate and correct diagnoses. It has the potential of saving lives by finding diseases sooner and allowing patients to receive proper treatment sooner.

Virtual assistants and AI chatbots are becoming more and more common at clinics and hospitals. They can answer patient questions, remind people to take medication, or even call to see how symptoms are. A good example of one of them is "Molly," a virtual nurse that patients interact with after surgery. I think this is especially helpful for people who need extra help at home or can't see their doctor right away. The trial is to verify these computer nurses are accurate and that people are still comfortable talking about their health with a computer.

AI can also use wide quantities of data to predict health threats before they are a concern. For example it can look at patient histories and determine who might be vulnerable to heart disease or diabetes. Hospitals use this information to prevent readmissions and create better treatments. I think that this is possibly one of the coolest things about AI in medicine because it's preventing rather than allowing people to get ill. It shows how smart technology can help us stay healthy in the long run.

But AI is changing the workplace as well. For instance, parts of what previously were done by technicians or nurses can now be automated. That conserves time, but it also poses the risk that workers can be forced to be retrained in order to stay current. And then there is the issue of trust not everyone wishes to know that a computer helped make their diagnosis.

AI also raises fairness issues. If biased data are used by hospitals to implement systems some patients will be given poor care compared to others. And because AI systems come at a cost richer hospitals and countries will be more helped than poorer countries. With these challenges I am convinced that AI has a overwhelmingly positive effect on society. It helps doctors make better decisions, better treats patients, and can make medicine more equal if applied responsibly. The key is to make sure that humans stay involved and that technology is used to complement, not replace, the human dimensions of medicine.