Can AI revolutionize medicine and clinical decisions?

Question

Hello doctor,

I was just reading about this remarkable AI (artificial intelligence) technology being utilized in hospitals. Apparently, it can analyze brain scans and patient data to personalize stroke recovery treatment plans. From what I understand, the AI considers various factors such as age, stroke severity, and medical history to recommend the most effective therapies and medications on a case-by-case basis.

My question is, do you think AI will play a bigger role in medicine and clinical decision-making going forward? Or is this just a novelty that will not actually have a significant impact on real practice? I had an aunt who struggled a lot after her stroke, so anything that could have improved her recovery would have been significant. But I also do not want to invest in overhyped tech that does not deliver results. Could AI personalized treatment be the future, or is it still too early for that kind of thing?

Please advise.

Thank you.

Answer 1

Hello,

Welcome to icliniq.com.

I understand your concern.

It is still too early for that, I will say; however, in terms of diagnosis and investigation, it is going to play a major role. An artificial intelligence (AI) system designed to assist in treatment decisions for stroke patients has led to improved stroke care quality and fewer recurrent strokes, heart attacks, and vascular deaths among stroke survivors three months after their initial stroke.

The analysis found that using the AI-based clinical decision support system reduced the likelihood of new vascular events by 25.6 percent during the three-month period following the initial stroke. Additionally, it improved stroke care quality, with patients being more likely to receive guideline-directed medical therapy. At three months, participants treated at hospitals using AI support experienced fewer total vascular events compared to those receiving standard post-stroke evaluation and treatment (2.9 percent versus 3.9 percent).

There were no statistically significant differences in physical disability levels between patients in either the AI-guided care or the standard care group at three months, as assessed using a modified Rankin scale score, a tool used to determine levels of disability in people who have experienced a stroke. This research demonstrates that an artificial intelligence-based clinical decision support system for stroke care was effective and feasible in clinical settings.

I hope this information helps you.

Thank you.