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
APA
Chicago
ICMJE
MLA
NLM
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 N, Leiman DA. Improving Acute GI Bleeding Management Through Artificial Intelligence: Unnatural Selection? Dig Dis Sci. 2019 Aug;64(8):2061–4.
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.
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