Artificial intelligence meets venous thromboembolism: informaticians' insights on diagnosis, prevention, and management
Blood Vessel Thromb Hemost
.
2024 Dec;1(4):100031.
doi: 10.1016/j.bvth.2024.100031.
Epub 2024 Oct 8.
Authors
Anuranita Gupta
1
,
Barbara D Lam
2
,
Sabrina Zerbey
2
,
Rachel P Rosovsky
3
,
Leslie Lake
4
,
Laura Dodge
5
,
Alys Adamski
6
,
Nimia Reyes
6
,
Karon Abe
6
,
Ioannis Vlachos
7
,
Jeffrey I Zwicker
8
,
Mara A Schonberg
9
,
Rushad Patell
10
Affiliations
1
Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA.
2
Division of Hematology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA.
3
Division of Hematology and Oncology, Department of Medicine, Massachusetts General Hospital, Boston, MA.
4
National Blood Clot Alliance, Philadelphia, PA.
5
Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA.
6
Division of Blood Disorders and Public Health Genomics, Centers for Disease Control and Prevention, Atlanta, GA.
7
Department of Pathology, Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA.
8
Department of Medicine, Hematology Service, Memorial Sloan Kettering Cancer Center, New York, NY.
9
Division of General Medicine, Beth Israel Deaconess Medical Center, Boston, MD.
10
Division of Hemostasis and Thrombosis, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
PMID:
39868029
PMCID:
PMC11758904
DOI:
10.1016/j.bvth.2024.100031
No abstract available
Grants and funding
K24 AG071906/AG/NIA NIH HHS/United States
P30 CA008748/CA/NCI NIH HHS/United States