Andrew Bishara • UCSF Profiles

Andrew Bishara, MD

Title(s)	Assistant Professor, Anesthesia
School	School of Medicine
Phone	415-514-0513
ORCID	0000-0002-5427-482X
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Biography

Education and Training

Massachusetts Institute of Technology (MIT), Cambridge, MA	BSE	06/2009	Mechanical Engineering
Harvard Medical School (HMS), Boston, MA	MD	05/2014	Medicine
University of California, San Francisco (UCSF), San Francisco, CA	D.ABA.	05/2019	Anesthesiology
Bakar Computational Health Sciences Institute at University of California, San Francisco (UCSF), San Francisco, CA		06/2020	Medical Informatics and Artificial Intelligence

Awards and Honors

University of California, San Francisco (UCSF)

2015 -

2016

Anesthesia Resident Teaching Award

Research

Research Activities and Funding

UCSF Core Center for Patient-centric Mechanistic Phenotyping in Chronic Low Back Pain
NIH U19AR076737Sep 25, 2019 - May 31, 2024
Role: Co-Investigator in the Informatics Core

Comprehensive Anesthesia Research Training
NIH T32GM008440Jul 1, 1995 - Jun 30, 2022
Role: Co-Investigator

Bibliographic

Publications

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help. to make corrections and additions.

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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.

Postoperative delirium prediction using machine learning models and preoperative electronic health record data. BMC Anesthesiol. 2022 01 03; 22(1):8. Bishara A, Chiu C, Whitlock EL, Douglas VC, Lee S, Butte AJ, Leung JM, Donovan AL. PMID: 34979919; PMCID: PMC8722098.

View in: PubMed Mentions:
Opal: an implementation science tool for machine learning clinical decision support in anesthesia. J Clin Monit Comput. 2021 Nov 27. Bishara A, Wong A, Wang L, Chopra M, Fan W, Lin A, Fong N, Palacharla A, Spinner J, Armstrong R, Pletcher MJ, Lituiev D, Hadley D, Butte A. PMID: 34837585.

View in: PubMed Mentions:
Machine Learning Prediction of Liver Allograft Utilization From Deceased Organ Donors Using the National Donor Management Goals Registry. Transplant Direct. 2021 Oct; 7(10):e771. Bishara AM, Lituiev DS, Adelmann D, Kothari RP, Malinoski DJ, Nudel JD, Sally MB, Hirose R, Hadley DD, Niemann CU. PMID: 34604507.

View in: PubMed Mentions:
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020. Comput Biol Med. 2021 01; 128:104095. Alizadehsani R, Khosravi A, Roshanzamir M, Abdar M, Sarrafzadegan N, Shafie D, Khozeimeh F, Shoeibi A, Nahavandi S, Panahiazar M, Bishara A, Beygui RE, Puri R, Kapadia S, Tan RS, Acharya UR. PMID: 33217660.

View in: PubMed Mentions: 5 Fields:
Bio Biology Med Medical Informatics Med Medicine (General)
Translation:Humans
Differences in clinical deterioration among three sub-phenotypes of COVID-19 patients at the time of first positive test: results from a clustering analysis. Intensive Care Med. 2021 01; 47(1):113-115. Data Science Collaborative Group . PMID: 33074342.

View in: PubMed Mentions: 4 Fields:
Cri Critical Care
Translation:Humans
Automated Localization and Segmentation of Mononuclear Cell Aggregates in Kidney Histological Images Using Deep Learning. 2020. .
Assessment of safety and effectiveness for pediatric patients of cryoanalgesia compared to epidural for the Nuss procedure in real-world data from Electronic Health. 2020. .
Development and validation of machine learning models to predict gastrointestinal leak and venous thromboembolism after weight loss surgery: an analysis of the MBSAQIP database. Surg Endosc. 2021 01; 35(1):182-191. Nudel J, Bishara AM, de Geus SWL, Patil P, Srinivasan J, Hess DT, Woodson J. PMID: 31953733.

View in: PubMed Mentions: 5 Fields:
Dia Diagnostic Imaging Gas Gastroenterology Gen General Surgery
Translation:Humans
Systematic Review of Gender Based Studies of Diagnosis and Treatment of Cardiovascular Disease in Last 20 Years. Advancements in Cardiovascular Research. 2019; 192-194.
Reduced-gravity environment hardware demonstrations of a prototype miniaturized flow cytometer and companion microfluidic mixing technology. J Vis Exp. 2014 Nov 13; (93):e51743. Phipps WS, Yin Z, Bae C, Sharpe JZ, Bishara AM, Nelson ES, Weaver AS, Brown D, McKay TL, Griffin D, Chan EY, Phipps WS, Yin Z, Bae C, Sharpe JZ, Bishara AM, Nelson ES, Weaver AS, Brown D, McKay TL, Griffin D, Chan EY. PMID: 25490614; PMCID: PMC4354048.

View in: PubMed Mentions: 4 Fields:
Bio Biology Med Medicine (General)
Translation:Humans