Understanding and training for the impact of large language models and artificial intelligence in healthcare practice: a narrative review

Affiliations

• ¹ Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.
• ² Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
• ³ Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany. [email protected].
• ⁴ Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA. [email protected].
• ⁵ Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
• ⁶ University of the Philippines Manila College of Medicine, Ermita Manila, Philippines.
• ⁷ Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA.
• ⁸ Department of Critical Care, Guy's and St Thomas' NHS Foundation Trust, London, UK.
• ⁹ Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
• ¹⁰ Harvard University, Cambridge, MA, USA.
• ¹¹ Division of Hematology/Oncology, Department of Pediatric Oncology, Boston Children's Hospital, Boston, MA, USA.
• ¹² Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
• ¹³ Department of Radiology, Emory School of Medicine, Atlanta, GA, USA.