Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 20 min ago
Peer-reviewedLicence not statedNature Medicine

AI-induced never-skilling in medical education

  • Yuhe Ke1,2,3
  • Liyuan Jin3,4
  • Jasmine Chiat Ling Ong5,3
  • Arun James Thirunavukarasu6
  • Josip Car7,8
  • Carol Yim-Lui Cheung9
  • Yih Chung Tham10,11,4
  • Daniel Shu Wei Ting3,4
  • Marcus E.H. Ong12,13
  • Scott Compton14
  • Aditee Narayan15
  • Pearse Andrew Keane16,17
4 more authors
  • Tien Yin Wong18,19,4
  • David Westfall Bates20,21,22
  • Patrick Tan23,24,25,26
  • Nan Liu27,28,29,30,31
31 affiliations
  1. 1Data Science and Artificial Intelligence Lab, Singapore General Hospital, Singapore, Singapore
  2. 2Department of Anaesthesiology, Singapore General Hospital, Singapore, Singapore
  3. 3Duke-NUS AI + Medical Sciences Initiative, Duke-NUS Medical School, Singapore, Singapore
  4. 4Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
  5. 5Division of Pharmacy, Singapore General Hospital, Singapore, Singapore
  6. 6International Centre for Eye Health, London School of Hygiene and Tropical Medicine, London, UK
  7. 7King's Population Health Institute, King's College, London, UK
  8. 8School of Life Course & Population Health Sciences, King's College London, London, UK
  9. 9Department of Ophthalmology and Visual Sciences, Chinese University of Hong Kong, Hong Kong SAR, China
  10. 10Centre for Innovation and Precision Eye Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
  11. 11Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
  12. 12Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore
  13. 13Pre-hospital & Emergency Research Centre, Health Services Research & Population Health, Duke-NUS Medical School, Singapore, Singapore
  14. 14Office of Education, Duke-NUS Medical School, Singapore, Singapore
  15. 15Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
  16. 16Institute of Ophthalmology, University College London, London, UK
  17. 17NIHR Biomedical Research Centre at Moorfields, Moorfields Eye Hospital NHS Foundation Trust, London, UK
  18. 18Beijing Visual Science and Translational Eye Research Institute (BERI), Beijing Tsinghua Changgung Hospital, Tsinghua Medicine, Tsinghua University, Beijing, China
  19. 19School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China
  20. 20Department of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, MA, USA
  21. 21Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
  22. 22Harvard Medical School, Boston, MA, USA
  23. 23Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore, Singapore
  24. 24Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
  25. 25Precision Health Research, Singapore, Singapore
  26. 26SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore
  27. 27Centre for Biomedical Data Science, Duke-NUS Medical School, Singapore, Singapore. [email protected]
  28. 28Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA. [email protected]
  29. 29Duke-NUS AI + Medical Sciences Initiative, Duke-NUS Medical School, Singapore, Singapore. [email protected]
  30. 30NUS Artificial Intelligence Institute, National University of Singapore, Singapore, Singapore. [email protected]
  31. 31Pre-hospital & Emergency Research Centre, Health Services Research & Population Health, Duke-NUS Medical School, Singapore, Singapore. [email protected]
Open at sourcePDFDOICite

Related

  1. Nutritional Literacy in Early Medical Education: A Cross-Sectional Comparison of First and Third-Year Medical Students in Turkey
    Bengu Depboylu, Fatih Siriken, Hayriye Dilek Akdogan
    Medical Science EducatorPeer-reviewedLicence not statedFull textEpidemiology & public healthPMC
  2. “Perceived Stress and Coping Strategies Among Jordanian Medical Students: Implications for Medical Education“
    Asma Alghzawi, Hani Shihadeh, Insaf Alammouri +5
    Medical Science EducatorPeer-reviewedLicence not statedFull text1 citedEpidemiology & public healthPMC
  3. Teaching immunity: A blueprint for medical education.
    Bonnie N Dittel
    ImmunoHorizonsPeer-reviewedCC BYFull textEpidemiology & public healthEurope PMC
  4. Reconsidering Reform Without Change in Medical Education—Tradition, Inertia, or Stewardship?
    Monica L. Lypson
    JAMA Network OpenPeer-reviewedCC BY 4.0General medicineCrossref
  5. Student-Facing Post-Exam Reviews in Medical Education: Multi-institutional Perspectives
    Sarah Lerchenfeldt, Robin Rivest
    Medical Science EducatorPeer-reviewedLicence not statedFull textEpidemiology & public healthPMC

Cite

BibTeXRIS
BibTeX
@article{ke2026aiinduced,
  title = {{AI-induced never-skilling in medical education}},
  author = {Yuhe Ke and Liyuan Jin and Jasmine Chiat Ling Ong and Arun James Thirunavukarasu and Josip Car and Carol Yim-Lui Cheung and Yih Chung Tham and Daniel Shu Wei Ting and Marcus E.H. Ong and Scott Compton and Aditee Narayan and Pearse Andrew Keane and Tien Yin Wong and David Westfall Bates and Patrick Tan and Nan Liu},
  journal = {Nature Medicine},
  year = {2026},
  month = may,
  doi = {10.1038/s41591-026-04438-y},
  url = {https://orcid.org/0000-0001-6916-5960>;},
}
RIS
TY  - JOUR
TI  - AI-induced never-skilling in medical education
AU  - Yuhe Ke
AU  - Liyuan Jin
AU  - Jasmine Chiat Ling Ong
AU  - Arun James Thirunavukarasu
AU  - Josip Car
AU  - Carol Yim-Lui Cheung
AU  - Yih Chung Tham
AU  - Daniel Shu Wei Ting
AU  - Marcus E.H. Ong
AU  - Scott Compton
AU  - Aditee Narayan
AU  - Pearse Andrew Keane
AU  - Tien Yin Wong
AU  - David Westfall Bates
AU  - Patrick Tan
AU  - Nan Liu
PY  - 2026
DA  - 2026/05/22
JO  - Nature Medicine
DO  - 10.1038/s41591-026-04438-y
UR  - https://orcid.org/0000-0001-6916-5960>;
SN  - 1078-8956
SN  - 1546-170X
SN  - 1744-7933
ER  -