Artificial Intelligence in Medical Education

A New Paradigm
Erscheinungsjahr 2027
ISBN: 978-981-9257-82-9
Verlag: Springer

Buch, Englisch, 269 Seiten, Format (B × H): 155 mm x 235 mm

This book provides a comprehensive, theoretically grounded framework for the most profound challenge facing medical education in the twenty-first century: the integration of Artificial Intelligence (AI). It bridges the gap between visionary works on the future of AI in clinical practice and the practical, on-the-ground needs of medical educators, providing a comprehensive, end-to-end roadmap. This book proposes a systematic journey through the entire educational continuum—from basic sciences to clinical rotations and assessment—all viewed through the single, coherent lens of its new model. This book serves as an essential resource for various audiences. For academic leaders and deans, this book provides a clear, strategic, and evidence-based roadmap to guide their institution's transformation, turning a daunting challenge into a manageable, structured process. For medical educators and faculty, it offers practical, actionable strategies and conceptual tools to update their courses, teaching methods, and assessments, empowering them in their daily work. For researchers and graduate students, it serves as a foundational theoretical text that defines the key challenges and opportunities in the field, providing a launchpad for a new generation of scholarly inquiry. Ultimately, this book serves as a guide for cultivating physicians whose uniquely human capacities for wisdom, empathy, and judgment are not replaced, but amplified and liberated by their partnership with artificial intelligence.

Zielgruppe

Research

Autoren/Hrsg.

Liu, Fei

Ji, Xunming

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik Allgemeine Didaktik
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik Lehrerausbildung
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie

Inhaltsverzeichnis

The Inevitable Convergence: Medicine, Education, and the AI Revolution.- A New Pedagogical Blueprint: From Information Transfer to Cognitive Scaffolding.- Re-engineering the Foundational Sciences: AI in Pre-Clinical Education.- The Intelligent Simulated Clinic: Mastering Skills Before Patient Contact.- Augmenting the Bedside: AI as a Co-Pilot in Clinical Rotations.- Beyond Multiple-Choice Questions: AI-Powered Assessment for Deeper Learning.- Evaluating the “Human” Competencies in an AI-Rich Environment.- The Cognitive Symbiosis: How Doctors Will Think with AI.- Algorithmic Ethics, Digital Professionalism, and the Patient Perspective.- Institutional Transformation: Strategies, Barriers, and Faculty Development.- The Augmented Learner: Navigating the New Digital and Cognitive Landscape.- The Physician of 2050: New Roles and Lifelong Learning.- Conclusion: Charting the Path Forward with Future-Proof Principles.

Über Autor(innen)

Fei Liu is affiliated with the Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. Dr. Liu’s scholarly work bridges technical AI development, clinical application, and educational implementation. His representative publications include studies on generative foundation models for medicine, multimodal clinical data integration, and AI-supported medical learning, with work appearing in journals such as , . 

Xunming Ji is President of the Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, and Academician of the Chinese Academy of Engineering. His work spans clinical medicine, brain science, and medical innovation, and he has played an important leadership role in advancing medical education, research, and institutional development.