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

被引：0

作者：

Liam G. McCoy ^{[1
]}

Faye Yu Ci Ng ^{[2
]}

Christopher M. Sauer ^{[3
]}

Katelyn Edelwina Yap Legaspi ^{[4
]}

Bhav Jain ^{[5
]}

Jack Gallifant ^{[6
]}

Michael McClurkin ^{[4
]}

Alessandro Hammond ^{[4
]}

Deirdre Goode ^{[7
]}

Judy Gichoya ^{[8
]}

Leo Anthony Celi ^{[9
]}

机构：

[1] University of Alberta,Faculty of Medicine and Dentistry

[2] National University of Singapore,Yong Loo Lin School of Medicine

[3] University Hospital Essen,Institute for Artificial Intelligence in Medicine

[4] Massachusetts Institute of Technology,Laboratory for Computational Physiology

[5] Harvard T.H. Chan School of Public Health,Department of Biostatistics

[6] University of the Philippines Manila College of Medicine,Department of Critical Care

[7] Guy’s and St Thomas’ NHS Foundation Trust,Department of Psychiatry

[8] Yale School of Medicine,Division of Hematology/Oncology, Department of Pediatric Oncology

[9] Harvard University,Department of Emergency Medicine

[10] Boston Children’s Hospital,undefined

[11] Beth Israel Deaconess Medical Center,undefined

[12] Department of Radiology,undefined

[13] Emory School of Medicine,undefined

来源：

BMC Medical Education | / 24卷 / 1期

关键词：

Language Model; Medical Education; Technology; Ethics;

D O I：

10.1186/s12909-024-06048-z

中图分类号：

学科分类号：

摘要：

Reports of Large Language Models (LLMs) passing board examinations have spurred medical enthusiasm for their clinical integration. Through a narrative review, we reflect upon the skill shifts necessary for clinicians to succeed in an LLM-enabled world, achieving benefits while minimizing risks. We suggest how medical education must evolve to prepare clinicians capable of navigating human-AI systems.

引用

共 50 条

[1] On the cusp: Considering the impact of artificial intelligence language models in healthcare
Goodman, Rachel S.
Patrinely Jr, J. Randall
Osterman, Travis
Wheless, Lee
Johnson, Douglas B.
MED, 2023, 4 (03): : 139 - 140
[2] The Artificial intelligence large language models and neuropsychiatry practice and research ethic
Zhong, Yi
Chen, Yu-jun
Zhou, Yang
Lyu, Yan-Ao-Hai
Yin, Jia-Jun
Gao, Yu-jun
ASIAN JOURNAL OF PSYCHIATRY, 2023, 84
[3] A Policy on the Use of Artificial Intelligence and Large Language Models in Peer Review
Munafo, Marcus
NICOTINE & TOBACCO RESEARCH, 2023,
[4] Clinical Science and Practice in the Age of Large Language Models and Generative Artificial Intelligence
Schueller, Stephen M.
Morris, Robert R.
JOURNAL OF CONSULTING AND CLINICAL PSYCHOLOGY, 2023, 91 (10) : 559 - 561
[5] Artificial intelligence, large language models, and you
Marquardt, Charles
JOURNAL OF VASCULAR SURGERY CASES INNOVATIONS AND TECHNIQUES, 2023, 9 (04):
[6] Role of artificial intelligence in pharmacy practice: A narrative review
Wong, Adrian
Wentz, Erin
Palisano, Nicholas
Dirani, Manar
Elsamadisi, Pansy
Qashou, Farah
Celi, Leo
Badawi, Omar
Nazer, Lama
JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY, 2023, 6 (11): : 1237 - 1250
[7] Advancing the democratization of generative artificial intelligence in healthcare: a narrative review
Chen, Anjun
Liu, Lei
Zhu, Tongyu
JOURNAL OF HOSPITAL MANAGEMENT AND HEALTH POLICY, 2024, 8
[8] Artificial Intelligence in Surgical Documentation: A Critical Review of the Role of Large Language Models
McLean, Aaron Lawson
ANNALS OF BIOMEDICAL ENGINEERING, 2023, 51 (12) : 2641 - 2642
[9] Artificial Intelligence Empowered Language Models: A Review
Negi, Aradhana
Verma, Charu Vaibhav
Tayyebi, Yakuta
Lecture Notes in Networks and Systems, 2024, 891 : 535 - 548
[10] Artificial Intelligence in Surgical Documentation: A Critical Review of the Role of Large Language Models
Aaron Lawson McLean
Annals of Biomedical Engineering, 2023, 51 : 2641 - 2642

← 1 2 3 4 5 →