Post by Nan Liu, PhD, FAMIA

𝗔𝗜-𝗶𝗻𝗱𝘂𝗰𝗲𝗱 𝗻𝗲𝘃𝗲𝗿-𝘀𝗸𝗶𝗹𝗹𝗶𝗻𝗴 𝗶𝗻 𝗺𝗲𝗱𝗶𝗰𝗮𝗹 𝗲𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻 Delighted to share our Perspective in 𝗡𝗮𝘁𝘂𝗿𝗲 𝗠𝗲𝗱𝗶𝗰𝗶𝗻𝗲 Nature Portfolio. In this piece, our multi-disciplinary team outlines why uncritical use of #AI tools during the formative years of medical training may undermine the development of independent clinical reasoning, and proposes a hypothesis-driven framework to integrate AI in ways that protect core competencies and patient safety. We hope this work will spark constructive discussion, empirical research, and thoughtful policy on how to prepare the next generation of clinicians for an AI-rich future. 📜 Read paper here: https://lnkd.in/gTYTuqxz 📜 SharedIt link: https://rdcu.be/fj8Gh (full-text, view-only) We would like to thank the editors and reviewers for their advice and guidance in making this paper possible. Ke Yuhe Liyuan Jin Jasmine Ong Arun Thirunavukarasu Josip Car Carol Cheung Yih Chung Tham 覃宇宗 Daniel Ting Marcus Eng Hock Ong Scott Compton Aditee Narayan Pearse Keane Tien Yin Wong FRS 黄天荫 David Bates Patrick Tan, MD-PhD & Nan Liu, PhD, FAMIA #NeverSkilling #Deskilling #MedicalEducation #AIinHealthcare #ClinicalAI #ResponsibleAI #EthicalAI #DigitalHealth #HealthProfessionEducation #DukeNUS #DAISI Duke-NUS AI + Medical Sciences Initiative (DAISI) SingHealth Duke-NUS Artificial Intelligence in Medicine Institute (AIMI) Duke-NUS Medical School