AI and Clinical Practice-Can AI Accelerate Medical Education?

[@JAMANetwork]

Read Dr Chang's Viewpoint "Transformation of Undergraduate Medical Education in 2023" in JAMA at ja.ma/45U3Tf1 Discover more research, opinion, and news on artificial intelligence at jamanetwork.com/channels/ai AI and Clinical Practice KZbin playlist: kzbin.info/aero/PL4VOPuLXRs1eeKg9iVdZOW8Z5etl-EPbi Topics discussed in this interview: 00:00 Introduction 00:45 Dr Bernard Chang 01:12 Transformation of medical education with AI 04:25 Integrating AI to make communication more human 07:36 Transforming with AI at Harvard Medical School 08:43 How will this affect medical students' experiences? 11:30 Danger zones of embracing AI in medical schools 16:39 Humanity, compassion, and AI 18:18 Training faculty in medical schools 21:55 Conclusion

[@diwakardhurandhar9151]

Supperb talk. Nice to listen the impact of AI in medical education and clinical medicine. Two must be having correlation coefficient of +1.0😊. If one increases, other also need to mould and adopt. Looking forward for more content from JAMA network.

[@BioniChaos]

Why is there such a strong focus on ChatGPT in healthcare AI discussions, rather than on other, potentially more relevant AI tools like image processing or time-series data analysis, which are critical for medical diagnostics?

[@BioniChaos]

How can biomedical education platforms ensure that users understand the difference between black-box AI models and open-source approaches, especially in terms of transparency and reliability in data interpretation, so that users are equipped to critically assess the source and trustworthiness of AI-driven insights in fields like EEG and ECG analysis?

[@ahmadqaddour1596]

here is a summary created by AI:Here are the key takeaways from the interview with Harvard Medical School's Dean for Medical Education: • **AI Will Transform Medical Education** - Similar to how internet/search engines changed medical education in the past - Represents a major inflection point in how medicine is taught and practiced - Will affect all phases of medical education from pre-clinical to clinical years • **Focus on Higher-Order Skills** - Move students more quickly from basics to advanced reasoning - Emphasize: - Complex clinical analysis - Individual patient nuance - Compassionate communication - Physical examination skills - Clinical decision-making • **AI as a Complementary Tool** - AI won't replace physicians but enable them to work more effectively - Students should learn to be "AI-enabled physicians" - Allow more face-to-face time with patients by handling routine tasks • **Changes to Medical Education** - Less emphasis on memorization and repetitive note-writing - More focus on knowledge integration and analysis - Earlier transition to advanced clinical reasoning - Integration of AI tools into learning and practice • **Important Considerations** - Need to establish guidelines for appropriate AI use - Address potential AI biases and limitations - Maintain focus on authentic human interaction - Ensure students understand AI's limitations (like hallucinations) • **Faculty Development** - Need to train faculty in effective AI use - Focus on prompt engineering - Emphasis on iterative improvement of AI outputs - Integration of AI tools into teaching methods • **Medical School Admissions** - AI may help level the playing field for non-native English speakers - Focus on substance over writing style - Need to distinguish between genuine and AI-generated empathy - Evaluate authentic experiences and motivation