Deep learning-driven 24-hour mortality risk assessment through peripheral blood smear morphology in hospitalized cancer patients Meeting Abstract


Authors: Webb, D. C.; Colorado-Jimenez, C.; Fenelus, M.; Singi, S.; Yin, Z.; Paulsen, S.; Bilal, K. H.; Herskovitz, A. Z.; McCash, S.; Wang, L.; Roshal, M.; McVoy, L.; Vanderbilt, C.; Dogan, A.; Goldgof, G. M.
Abstract Title: Deep learning-driven 24-hour mortality risk assessment through peripheral blood smear morphology in hospitalized cancer patients
Meeting Title: 66th Annual Meeting of the American Society of Hematology (ASH)
Journal Title: Blood
Volume: 144
Issue: Suppl. 1
Meeting Dates: 2024 Dec 7-10
Meeting Location: San Deigo, CA
ISSN: 0006-4971
Publisher: American Society of Hematology  
Date Published: 2024-11-05
Start Page: 4992
End Page: 4993
Language: English
ACCESSION: WOS:001407948200002
DOI: 10.1182/blood-2024-208716
PROVIDER: wos
Notes: Source: Wos
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Samuel Isaac McCash
    14 McCash
  2. Ahmet Dogan
    469 Dogan
  3. Mikhail Roshal
    236 Roshal
  4. Maly Fenelus
    14 Fenelus
  5. Gregory Goldgof
    10 Goldgof
  6. Lauren Alexa McVoy
    4 McVoy
  7. Khawaja Hassan Bilal
    7 Bilal
  8. Dylan Webb
    3 Webb
  9. Siddharth Shriram Singi
    6 Singi
  10. Zhanghan Yin
    3 Yin