Andrew Bishara, MD

Assistant Professor
What I do: 

My research is focused on designing artificial intelligence models and studying the implementation of these models in clinical care to improve patient outcomes.

Publications: 
Kothari R, Chiu C, Moukheiber M, Jehiro M, Bishara A, Lee C, Piracchio R, Celi LA. A Descriptive Appraisal of Quality of Reporting in a Cohort of Machine Learning Studies in Anesthesiology. Anaesth Crit Care Pain Med. 2022 Jul 07; 101126.
Panahiazar M, Bishara AM, Chern Y, Alizadehsani R, Latif OS, Hadley D, Beygui RE. 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.
Feng J, Phillips RV, Malenica I, Bishara A, Hubbard AE, Celi LA, Pirracchio R. Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare. NPJ Digit Med. 2022 May 31; 5(1):66.
Langnas E, Bishara A, Croci R, Rodriguez-Monguio R, Wick EC, Chen CL, Guan Z. 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.
Bishara A, Maze EH, Maze M. Considerations for the implementation of machine learning into acute care settings. Br Med Bull. 2022 03 21; 141(1):15-32.
Bishara A, Chiu C, Whitlock EL, Douglas VC, Lee S, Butte AJ, Leung JM, Donovan AL. Postoperative delirium prediction using machine learning models and preoperative electronic health record data. BMC Anesthesiol. 2022 01 03; 22(1):8.
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. Opal: an implementation science tool for machine learning clinical decision support in anesthesia. J Clin Monit Comput. 2021 Nov 27.
Bishara AM, Lituiev DS, Adelmann D, Kothari RP, Malinoski DJ, Nudel JD, Sally MB, Hirose R, Hadley DD, Niemann CU. 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.
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. 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.
Data Science Collaborative Group. 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.
Nudel J, Bishara AM, de Geus SWL, Patil P, Srinivasan J, Hess DT, Woodson J. 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.
Phipps WS, Yin Z, Bae C, Sharpe JZ, Bishara AM, Nelson ES, Weaver AS, Brown D, McKay TL, Griffin D, Chan EY. Reduced-gravity environment hardware demonstrations of a prototype miniaturized flow cytometer and companion microfluidic mixing technology. J Vis Exp. 2014 Nov 13; (93):e51743.
Honors and Awards: 
Kosaka Best Abstract Award Top Finalist - Clinical Research, International Anesthesia Research Society Annual Meeting, 2022
Anesthesia Resident Teaching Award, University of California, San Francisco (UCSF), 2015-2016