Science has always driven progress in medicine, but AI is taking it to the next level. From smart wearables that track our daily health to AI tools that read scans and detect diseases early, technology is making healthcare faster, more accurate, and more personalized.
Doctors now get AI support in diagnosing patients, predicting risks, and even recommending treatments. At the same time, patients can use apps and devices to monitor their own health in real-time.
But there are big questions too: Can AI truly replace human judgment? Will it make healthcare more accessible, or create a bigger gap?
What do you think—are AI and science making healthcare better for everyone, or do we still have a long way to go?
Absolutely, you’re right—“AI” covers a lot of ground, and it’s important to distinguish between different types. Tools like machine learning models trained on medical data can indeed be very helpful in diagnosis and early detection, as you mentioned.
On the other hand, LLMs or generative AI are not substitutes for clinical decision-making. They can support tasks like summarizing records or drafting notes, but any medical recommendation must always come from trained healthcare professionals.
So yes, the key is using the right type of AI for the right purpose—augmenting care without compromising safety or accuracy.