Large language models for chart review: how machine learning can accelerate hematology research
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-02-01
|
| Series: | Blood Vessels, Thrombosis & Hemostasis |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2950327225000099 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1823864114181570560 |
|---|---|
| author | Barbara D. Lam Peiqi Wang Shengling Ma Omid Jafari Iuliia Kovalenko Ang Li |
| author_facet | Barbara D. Lam Peiqi Wang Shengling Ma Omid Jafari Iuliia Kovalenko Ang Li |
| author_sort | Barbara D. Lam |
| collection | DOAJ |
| format | Article |
| id | doaj-art-bb8cd871e95b47d6801c861331572c63 |
| institution | Kabale University |
| issn | 2950-3272 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Blood Vessels, Thrombosis & Hemostasis |
| spelling | doaj-art-bb8cd871e95b47d6801c861331572c632025-02-09T05:02:05ZengElsevierBlood Vessels, Thrombosis & Hemostasis2950-32722025-02-0121100052Large language models for chart review: how machine learning can accelerate hematology researchBarbara D. Lam0Peiqi Wang1Shengling Ma2Omid Jafari3Iuliia Kovalenko4Ang Li5Division of Hematology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA; Division of Clinical Informatics, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA; Correspondence: Barbara D. Lam, Division of Hematology and Oncology, Department of Medicine, Fred Hutchinson Cancer Center, University of Washington Medical Center, 1144 Eastlake Ave E, Seattle, WA 98109;Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MASection of Hematology-Oncology, Department of Medicine, Baylor College of Medicine, Houston, TXInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TXDepartment of Medicine, University of Pittsburgh Medical Center, Harrisburg, PASection of Hematology-Oncology, Department of Medicine, Baylor College of Medicine, Houston, TXhttp://www.sciencedirect.com/science/article/pii/S2950327225000099 |
| spellingShingle | Barbara D. Lam Peiqi Wang Shengling Ma Omid Jafari Iuliia Kovalenko Ang Li Large language models for chart review: how machine learning can accelerate hematology research Blood Vessels, Thrombosis & Hemostasis |
| title | Large language models for chart review: how machine learning can accelerate hematology research |
| title_full | Large language models for chart review: how machine learning can accelerate hematology research |
| title_fullStr | Large language models for chart review: how machine learning can accelerate hematology research |
| title_full_unstemmed | Large language models for chart review: how machine learning can accelerate hematology research |
| title_short | Large language models for chart review: how machine learning can accelerate hematology research |
| title_sort | large language models for chart review how machine learning can accelerate hematology research |
| url | http://www.sciencedirect.com/science/article/pii/S2950327225000099 |
| work_keys_str_mv | AT barbaradlam largelanguagemodelsforchartreviewhowmachinelearningcanacceleratehematologyresearch AT peiqiwang largelanguagemodelsforchartreviewhowmachinelearningcanacceleratehematologyresearch AT shenglingma largelanguagemodelsforchartreviewhowmachinelearningcanacceleratehematologyresearch AT omidjafari largelanguagemodelsforchartreviewhowmachinelearningcanacceleratehematologyresearch AT iuliiakovalenko largelanguagemodelsforchartreviewhowmachinelearningcanacceleratehematologyresearch AT angli largelanguagemodelsforchartreviewhowmachinelearningcanacceleratehematologyresearch |