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As the world of medicine has evolved and developed over the years, new additions have continually entered its sphere, from the discovery of penicillin to the development of portable MRI machines. Over the last 25 years, Artificial intelligence (AI) has emerged as a significant new development and is worth exploring.

Artificial intelligence comes in many different forms, from , machine learning (for diagnostics and drug discovery), natural language processing (NLP) (for analyzing medical records and communication), AI-powered diagnostics (especially in radiology), and robotics (for precision surgery and care).

I was fortunate to interview some medical residents to explore their opinions and thoughts on how AI in medicine shall progress and what it is used for today.

Andrew Cramer, DO '25, an Internal Medicine resident, stated that he uses OpenEvidence as a way to assess what he already knows. He states that it is more of a tool to validate what you already know, and not the best way to look for answers. AI can be helpful in providing you with alternate ideas or angles for differential diagnosis or checking your work, but not as a primary tool. Negatives include that some physicians could accept the answers at face value and be too busy to review the necessary areas, which could increase the risk of an incorrect diagnosis.

Mayar Azar, DO '25, an Internal Medicine resident, also stated that “The use of AI will certainly change the nature of medicine, whether that will be in terms of knowledge acquisition and logistical support. For example, the use of apps like OpenEvidence can filter out updated guidelines and research papers on the topic of your choice, expediting the search and learning process. In addition, its incorporation into electronic medical records and other medical technology will revolutionize the way we do things.”

When asked his opinion on how AI will impact medicine in the long term, he postulated, “I think it is a waiting game. Some negatives are that it could potentially make us work-shy in our learning process since answers are just a few clicks away, which could take away from us learning the full scope of medical concepts.”

Overall, I believe these opinions align with the majority of medical practitioners' opinions of artificial intelligence as a useful tool, or at the very least, it is another arrow in the quiver for them to take the best care of patients, but it is not the end-all be-all. Artificial intelligence has solidified its place in medical care, but we should remain cautious about overapplication.

About the Author

Alexander Lamb is a third-year osteopathic medical student attending the 麻豆视频APK Tom and Julie Wood College of Osteopathic Medicine. He is passionate about patient care, osteopathic medicine, and furthering medical education. Feel free to email him if you have any questions!

About Franc Notes

Discover the voices of 麻豆视频APK's health professions students through "Franc Notes", a vibrant, student-led blog that embodies our Franciscan commitment to community, reflection, and compassionate service. Inspired by the rhythm of "SOAP notes," it features weekly insights—from "DO Diaries" interviews with physicians to summer reflections and program spotlights—fostering collaboration across disciplines."