Andrew Bishara, MD

Title(s)Assistant Professor, Anesthesia
SchoolSchool of Medicine
Phone415-514-0513
PronounsHe/Him/His
ORCID ORCID Icon0000-0002-5427-482X Additional info
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    Collapse Biography 
    Collapse education and training
    Massachusetts Institute of Technology (MIT), Cambridge, MABSE06/2009Mechanical Engineering
    Harvard Medical School (HMS), Boston, MAMD05/2014Medicine
    University of California, San Francisco (UCSF), San Francisco, CAD.ABA.05/2019Anesthesiology
    Bakar Computational Health Sciences Institute at University of California, San Francisco (UCSF), San Francisco, CA06/2020Medical Informatics and Artificial Intelligence
    University of California, San Francisco, CA06/2022Diversity, Equity, and Inclusion Champion Training
    Collapse awards and honors
    University of California, San Francisco (UCSF)2015  - 2016 Anesthesia Resident Teaching Award
    International Anesthesia Research Society Annual Meeting2022  - 2022Kosaka Best Abstract Award Top Finalist - Clinical Research

    Collapse Overview 
    Collapse overview
    Research Focus
    My main research aim is to better predict and prevent complications in surgical patients using advanced machine learning techniques.
    My work includes:
    Real-Time Risk Assessment: Creating models to predict acute kidney injury (AKI), pain, delirium, and blood loss during surgeries in real-time.
    Model Validation: Ensuring these models are reliable with the eventual goal of pursuing regulatory approval.
    I strive to build models that I would want to use when caring for patients. Additionally, my research explores the space of computer-human interfaces related to artificial intelligence (AI) to seamlessly integrate these models into clinical workflows.

    Clinical Practice
    As an anesthesiologist, I am committed to providing safe and effective patient care in the operating room. My clinical work is closely linked with my research, fostering an environment where new insights directly benefit patient outcomes.

    Commitment to Progress
    I value the opportunity to contribute to meaningful advancements in healthcare. By integrating innovative technology into clinical practices, I seek to improve patient outcomes and advance the field of perioperative medicine.

    Collapse Research 
    Collapse research activities and funding
    Real-time Prediction of Adverse Outcomes After Surgery
    NIH K23GM151611Aug 1, 2023 - Jul 31, 2028
    Role: Principal Investigator
    Real-time Prediction of Adverse Outcomes After Anesthesia
    Foundation for Anesthesia Education and Research FAER MRTGJan 1, 2022 - Dec 31, 2023
    Role: Principal Investigator
    Description: The goal of this study is to implement and prospectively validate a machine learning model that predicts postoperative acute kidney injury (AKI).
    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

    Collapse Bibliographic 
    Collapse selected 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.
    Newest   |   Oldest   |   Most Cited   |   Most Discussed   |   Timeline   |   Field Summary   |   Plain Text
    Altmetrics Details 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.
    1. Machine Learning for the Prediction of Procedural Case Durations Developed Using a Large Multicenter Database: Algorithm Development and Validation Study. JMIR AI. 2023 Sep 08; 2:e44909. Kendale S, Bishara A, Burns M, Solomon S, Corriere M, Mathis M. PMID: 38875567; PMCID: PMC11041482.
      View in: PubMed   Mentions: 5  
    2. Development of a Machine Learning Model of Postoperative Acute Kidney Injury Using Non-Invasive Time-Sensitive Intraoperative Predictors. Bioengineering (Basel). 2023 Aug 05; 10(8). Zamirpour S, Hubbard AE, Feng J, Butte AJ, Pirracchio R, Bishara A. PMID: 37627817; PMCID: PMC10451203.
      View in: PubMed   Mentions: 1  
    3. Gender-based time discrepancy in diagnosis of coronary artery disease based on data analytics of electronic medical records. Front Cardiovasc Med. 2022; 9:969325. Panahiazar M, Bishara AM, Chern Y, Alizadehsani R, Islam SMS, Hadley D, Arnaout R, Beygui RE. PMID: 36505372; PMCID: PMC9729739.
      View in: PubMed   Mentions: 2  
    4. A descriptive appraisal of quality of reporting in a cohort of machine learning studies in anesthesiology. Anaesth Crit Care Pain Med. 2022 10; 41(5):101126. Kothari R, Chiu C, Moukheiber M, Jehiro M, Bishara A, Lee C, Pirracchio R, Celi LA. PMID: 35811037.
      View in: PubMed   Mentions: 1     Fields:    Translation:Humans
    5. Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment. Stud Health Technol Inform. 2022 Jun 06; 290:1080-1081. Panahiazar M, Bishara AM, Chern Y, Alizadehsani R, Latif OS, Hadley D, Beygui RE. PMID: 35673215; PMCID: PMC10342193.
      View in: PubMed   Mentions:    Fields:    Translation:Humans
    6. Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare. NPJ Digit Med. 2022 May 31; 5(1):66. Feng J, Phillips RV, Malenica I, Bishara A, Hubbard AE, Celi LA, Pirracchio R. PMID: 35641814; PMCID: PMC9156743.
      View in: PubMed   Mentions: 65  
    7. Opioid prescribing practices at hospital discharge for surgical patients before and after the Centers for Disease Control and Prevention's 2016 opioid prescribing guideline. BMC Anesthesiol. 2022 05 11; 22(1):141. Langnas E, Bishara A, Croci R, Rodriguez-Monguio R, Wick EC, Chen CL, Guan Z. PMID: 35546657; PMCID: PMC9097447.
      View in: PubMed   Mentions: 3     Fields:    Translation:Humans
    8. Considerations for the implementation of machine learning into acute care settings. Br Med Bull. 2022 03 21; 141(1):15-32. Bishara A, Maze EH, Maze M. PMID: 35107127.
      View in: PubMed   Mentions: 1     Fields:    Translation:Humans
    9. 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: 27     Fields:    Translation:Humans
    10. Opal: an implementation science tool for machine learning clinical decision support in anesthesia. J Clin Monit Comput. 2022 10; 36(5):1367-1377. 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; PMCID: PMC9275816.
      View in: PubMed   Mentions: 6     Fields:    Translation:Humans
    11. 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; PMCID: PMC8478404.
      View in: PubMed   Mentions: 3  
    12. 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: 29     Fields:    Translation:Humans
    13. 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; PMCID: PMC7569095.
      View in: PubMed   Mentions: 14     Fields:    Translation:Humans
    14. 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; PMCID: PMC9278895.
      View in: PubMed   Mentions: 33     Fields:    Translation:Humans
    15. 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. PMID: 25490614; PMCID: PMC4354048.
      View in: PubMed   Mentions: 5     Fields:    Translation:Humans
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