On the cusp: Considering the impact of artificial intelligence language models in healthcare

Rachel S Goodman; J Randall Patrinely Jr; Travis Osterman; Lee Wheless; Douglas B Johnson

doi:10.1016/j.medj.2023.02.008

On the cusp: Considering the impact of artificial intelligence language models in healthcare

Med. 2023 Mar 10;4(3):139-140. doi: 10.1016/j.medj.2023.02.008.

Authors

Rachel S Goodman¹, J Randall Patrinely Jr², Travis Osterman³, Lee Wheless², Douglas B Johnson⁴

Affiliations

¹ Vanderbilt University School of Medicine, Nashville, TN, USA.
² Department of Dermatology, Vanderbilt University Medical Center, Nashville, TN, USA.
³ Department of Biomedical Informatics, Department of Hematology/Oncology, Vanderbilt University Medical Center, Nashville, TN, USA.
⁴ Department of Hematology/Oncology, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address: douglas.b.johnson@vumc.org.

PMID: 36905924
DOI: 10.1016/j.medj.2023.02.008

Abstract

Goodman et al. discuss how AI technologies like the natural language processing model Chat-GPT could potentially transform healthcare through knowledge dissemination and personalized patient education. Before these tools can be safely integrated into healthcare, research and development of robust oversight mechanisms are necessary to ensure their accuracy and reliability.

Publication types

Letter
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

MeSH terms

Artificial Intelligence*
Delivery of Health Care
Health Facilities
Humans
Natural Language Processing*
Reproducibility of Results

Grants and funding

R01 CA227481/CA/NCI NIH HHS/United States