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Publications
Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare.
Feng J, Phillips RV, Malenica I, Bishara A, Hubbard AE, Celi LA, Pirracchio R
NPJ digital medicine
.
May 31, 2022
Opioid prescribing practices at hospital discharge for surgical patients before and after the Centers for Disease Control and Prevention's 2016 opioid prescribing guideline.
Langnas E, Bishara A, Croci R, Rodriguez-Monguio R, Wick EC, Chen CL, Guan Z
BMC anesthesiology
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May 11, 2022
Considerations for the implementation of machine learning into acute care settings.
Bishara A, Maze EH, Maze M
British medical bulletin
.
Mar 21, 2022
Postoperative delirium prediction using machine learning models and preoperative electronic health record data.
Bishara A, Chiu C, Whitlock EL, Douglas VC, Lee S, Butte AJ, Leung JM, Donovan AL
BMC anesthesiology
.
Jan 3, 2022
Opal: an implementation science tool for machine learning clinical decision support in anesthesia.
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
Journal of clinical monitoring and computing
.
Nov 27, 2021
Machine Learning Prediction of Liver Allograft Utilization From Deceased Organ Donors Using the National Donor Management Goals Registry.
Bishara AM, Lituiev DS, Adelmann D, Kothari RP, Malinoski DJ, Nudel JD, Sally MB, Hirose R, Hadley DD, Niemann CU
Transplantation direct
.
Sep 27, 2021
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020.
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
Computers in biology and medicine
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Oct 28, 2020
Differences in clinical deterioration among three sub-phenotypes of COVID-19 patients at the time of first positive test: results from a clustering analysis.
Data Science Collaborative Group
Intensive care medicine
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Oct 19, 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.
Nudel J, Bishara AM, de Geus SWL, Patil P, Srinivasan J, Hess DT, Woodson J
Surgical endoscopy
.
Jan 17, 2020
Reduced-gravity environment hardware demonstrations of a prototype miniaturized flow cytometer and companion microfluidic mixing technology.
Phipps WS, Yin Z, Bae C, Sharpe JZ, Bishara AM, Nelson ES, Weaver AS, Brown D, McKay TL, Griffin D, Chan EY
Journal of visualized experiments : JoVE
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Nov 13, 2014