Large language models in medicine: A review of current clinical trials across healthcare applications. Omar, M., Nadkarni, G. N., Klang, E., & Glicksberg, B. S. PLOS Digital Health, 3(11):e0000662, Public Library of Science, November, 2024. ![Large language models in medicine: A review of current clinical trials across healthcare applications [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex This review analyzes current clinical trials investigating large language models’ (LLMs) applications in healthcare. We identified 27 trials (5 published and 22 ongoing) across 4 main clinical applications: patient care, data handling, decision support, and research assistance. Our analysis reveals diverse LLM uses, from clinical documentation to medical decision-making. Published trials show promise but highlight accuracy concerns. Ongoing studies explore novel applications like patient education and informed consent. Most trials occur in the United States of America and China. We discuss the challenges of evaluating rapidly evolving LLMs through clinical trials and identify gaps in current research. This review aims to inform future studies and guide the integration of LLMs into clinical practice.
@article{omar_large_2024,
title = {Large language models in medicine: {A} review of current clinical trials across healthcare applications},
volume = {3},
issn = {2767-3170},
shorttitle = {Large language models in medicine},
url = {https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0000662},
doi = {10.1371/journal.pdig.0000662},
abstract = {This review analyzes current clinical trials investigating large language models’ (LLMs) applications in healthcare. We identified 27 trials (5 published and 22 ongoing) across 4 main clinical applications: patient care, data handling, decision support, and research assistance. Our analysis reveals diverse LLM uses, from clinical documentation to medical decision-making. Published trials show promise but highlight accuracy concerns. Ongoing studies explore novel applications like patient education and informed consent. Most trials occur in the United States of America and China. We discuss the challenges of evaluating rapidly evolving LLMs through clinical trials and identify gaps in current research. This review aims to inform future studies and guide the integration of LLMs into clinical practice.},
language = {en},
number = {11},
urldate = {2024-11-24},
journal = {PLOS Digital Health},
publisher = {Public Library of Science},
author = {Omar, Mahmud and Nadkarni, Girish N. and Klang, Eyal and Glicksberg, Benjamin S.},
month = nov,
year = {2024},
keywords = {Cancer treatment, Clinical trials, Decision making, Diagnostic medicine, Language, Medicine and health sciences, Patients, Randomized controlled trials, notion},
pages = {e0000662},
}
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