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Improving Acute GI Bleeding Management Through Artificial Intelligence: Unnatural Selection?

Publication ,  Journal Article
Sengupta, N; Leiman, DA
Published in: Dig Dis Sci
August 2019

Duke Scholars

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Published In

Dig Dis Sci

DOI

EISSN

1573-2568

Publication Date

August 2019

Volume

64

Issue

8

Start / End Page

2061 / 2064

Location

United States

Related Subject Headings

  • Machine Learning
  • Humans
  • Gastrointestinal Hemorrhage
  • Gastroenterology & Hepatology
  • Artificial Intelligence
  • Acute Disease
  • 3202 Clinical sciences
  • 1103 Clinical Sciences
 

Citation

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Chicago
ICMJE
MLA
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Sengupta, N., & Leiman, D. A. (2019). Improving Acute GI Bleeding Management Through Artificial Intelligence: Unnatural Selection? Dig Dis Sci, 64(8), 2061–2064. https://doi.org/10.1007/s10620-019-05698-0
Sengupta, Neil, and David A. Leiman. “Improving Acute GI Bleeding Management Through Artificial Intelligence: Unnatural Selection?Dig Dis Sci 64, no. 8 (August 2019): 2061–64. https://doi.org/10.1007/s10620-019-05698-0.
Sengupta, Neil, and David A. Leiman. “Improving Acute GI Bleeding Management Through Artificial Intelligence: Unnatural Selection?Dig Dis Sci, vol. 64, no. 8, Aug. 2019, pp. 2061–64. Pubmed, doi:10.1007/s10620-019-05698-0.
Sengupta N, Leiman DA. Improving Acute GI Bleeding Management Through Artificial Intelligence: Unnatural Selection? Dig Dis Sci. 2019 Aug;64(8):2061–2064.
Journal cover image

Published In

Dig Dis Sci

DOI

EISSN

1573-2568

Publication Date

August 2019

Volume

64

Issue

8

Start / End Page

2061 / 2064

Location

United States

Related Subject Headings

  • Machine Learning
  • Humans
  • Gastrointestinal Hemorrhage
  • Gastroenterology & Hepatology
  • Artificial Intelligence
  • Acute Disease
  • 3202 Clinical sciences
  • 1103 Clinical Sciences