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

[31] The cognitive age in medicine: Artificial intelligence, large language models, and iterative intelligence
Nosta, John
AMERICAN JOURNAL OF HEMATOLOGY, 2024,
[32] Value-based Healthcare: Can Generative Artificial Intelligence and Large Language Models be a Catalyst for Value-based Healthcare?
Jayakumar, Prakash
Nijhuis, Koen D. Oude
Oosterhoff, Jacobien H. F.
Bozic, Kevin J.
CLINICAL ORTHOPAEDICS AND RELATED RESEARCH, 2023, 481 (10) : 1890 - 1894
[33] Global Mental Health Services and the Impact of Artificial Intelligence-Powered Large Language Models
Van Heerden, Alastair C.
Pozuelo, Julia R.
Kohrt, Brandon A.
JAMA PSYCHIATRY, 2023, 80 (07) : 662 - 664
[34] Language Artificial Intelligence at a Crossroads: Deciphering the Future of Small and Large Language Models
Shan, Richard
COMPUTER, 2024, 57 (08) : 26 - 35
[35] Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding
Wang, Yuqing
Zhao, Yun
Petzold, Linda
MACHINE LEARNING FOR HEALTHCARE CONFERENCE, VOL 219, 2023, 219
[36] GPT, large language models (LLMs) and generative artificial intelligence (GAI) models in geospatial science: a systematic review
Wang, Siqin
Hu, Tao
Xiao, Huang
Li, Yun
Zhang, Ce
Ning, Huan
Zhu, Rui
Li, Zhenlong
Ye, Xinyue
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 17 (01)
[37] Interpretation of Artificial Intelligence Models in Healthcare
Ardakani, Ali Abbasian
Airom, Omid
Khorshidi, Hamid
Bureau, Nathalie J.
Salvi, Massimo
Molinari, Filippo
Acharya, U. Rajendra
JOURNAL OF ULTRASOUND IN MEDICINE, 2024, : 1789 - 1818
[38] The impact and opportunities of large language models like ChatGPT in oral and maxillofacial surgery: a narrative review
Puladi, B.
Gsaxner, C.
Kleesiek, J.
Hoelzle, F.
Roehrig, R.
Egger, J.
INTERNATIONAL JOURNAL OF ORAL AND MAXILLOFACIAL SURGERY, 2024, 53 (01) : 78 - 88
[39] Artificial Intelligence: An Innovative A Narrative Review
Sharma, Mansi S.
Jadhav, Vikrant
Bhuskute, Kushal Prakash
Reche, Amit
JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH, 2023, 17 (12) : ZE7 - ZE11
[40] Artificial intelligence and anesthesia: A narrative review
Singh, Madhavi
Nath, Gita
SAUDI JOURNAL OF ANAESTHESIA, 2022, 16 (01) : 86 - 93

← 1 2 3 4 5 →