Large language models for chart review: how machine learning can accelerate hematology research
Blood Vessel Thromb Hemost
.
2025 Jan 15;2(1):100052.
doi: 10.1016/j.bvth.2025.100052.
eCollection 2025 Feb.
Authors
Barbara D Lam
1
2
,
Peiqi Wang
3
,
Shengling Ma
4
,
Omid Jafari
5
,
Iuliia Kovalenko
6
,
Ang Li
4
Affiliations
1
Division of Hematology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA.
2
Division of Clinical Informatics, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA.
3
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA.
4
Section of Hematology-Oncology, Department of Medicine, Baylor College of Medicine, Houston, TX.
5
Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX.
6
Department of Medicine, University of Pittsburgh Medical Center, Harrisburg, PA.
PMID:
40766872
PMCID:
PMC12320455
DOI:
10.1016/j.bvth.2025.100052
No abstract available