Evidence map›Paper›PMID 39169867›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2024

Large language models in biomedicine and health: current research landscape and future directions.

Zhiyong Lu, Yifan Peng, Trevor Cohen, Marzyeh Ghassemi, Chunhua Weng, Shubo Tian

Abstract readEditorial
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zhiyong LuNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, United States.ORCID 0000-0001-9998-916X
Yifan PengDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY 10065, United States.ORCID 0000-0001-9309-8331
Trevor CohenDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195, United States.
Marzyeh GhassemiComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.
Chunhua WengDepartment of Biomedical Informatics, Columbia University, New York, NY 10032, United States.ORCID 0000-0002-9624-0214
Shubo TianNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, United States.ORCID 0000-0001-6415-1439

Funding

Machine Learning and Natural Language Processing for Biomedical ApplicationsZIALM237241 · NLM · NATIONAL LIBRARY OF MEDICINE · PI LU, ZHIYONG · 2023 to 2025
$12.2M
ClinEX - Clinical Evidence Extraction, Representation, and AppraisalR01LM014344 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Yong Chen, Yifan Peng · 2023 to 2026
$2.7M
Closing the loop with an automatic referral population and summarization systemR01LM014306 · NLM · WEILL MEDICAL COLL OF CORNELL UNIV · PI Yifan Peng, Justin Frederick Rousseau · 2023 to 2026
$2.7M
DeconDTN: Deconfounding Deep Transformer Networks for Clinical NLPR01LM014056 · NLM · UNIVERSITY OF WASHINGTON · PI COHEN, TREVOR, PAKHOMOV, SERGUEI VS · 2022 to 2025
$1.7M
Professional to Plain Language Neural Translation: A Path Toward Actionable Health InformationR21LM013934 · NLM · UNIVERSITY OF WASHINGTON · PI COHEN, TREVOR · 2022 to 2023
$402k
Intramural Research ProgramNIHNLM NIH HHS R01 LM014056NLM NIH HHS R01 LM014306NLM NIH HHS R01LM014306NLM NIH HHS R01 LM014344NLM NIH HHS R21 LM013934
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Biomedical ResearchHumansMedical InformaticsNatural Language Processing

Identifiers

PMID39169867
PMCPMC11339542

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.