In this episode of The Learning Curve, host Dr. Irtaza Asar is joined by Dr. Jesse Pines for a conversation about the rapidly evolving role of artificial intelligence in medical education and how these technologies are beginning to reshape the way clinicians learn, teach, and make decisions.
Dr. Pines explores the opportunities AI offers for personalized learning, clinical reasoning, knowledge synthesis, feedback, and curriculum development, while also addressing the limitations and potential risks of relying too heavily on these tools. The discussion highlights practical ways educators and learners can thoughtfully integrate AI into their everyday workflows, from generating educational content and accelerating literature review to supporting clinical decision-making and creating more individualized learning experiences.
Ultimately, the conversation moves beyond the hype to examine how AI can be used responsibly—not as a replacement for physicians or educators, but as a powerful tool to augment learning, improve efficiency, enhance teaching, and help shape the future of medical education.
AI is shifting medical education from memorization to judgmentAI works best when used for edge cases, not just routine onesJust-in-time learning is more powerful than after-the-fact studyingThe biggest risk is not wrong answers, but missing informationAI use is already happening, so education must focus on literacy, not prohibitionPrompting is becoming a real clinical skillAI can make teaching more adaptive and personalizedDr. Pines podcast: Healthcare AI Pioneers