Gabe Brat, PhD

Gabriel Brat, MD

Assistant Professor of Surgery, Beth Israel Deaconess Medical Center
Assistant Professor of Biomedical Informatics, Harvard Medical School (Secondary)

Gabriel Brat is a trauma surgeon, surgical intensivist, and assistant professor of surgery at Beth Israel Deaconess Medical Center. He is also an assistant professor in biomedical informatics at Harvard Medical School (secondary). As the director of the Surgical Informatics Lab, Dr. Brat has a broad research focus on informatics tools to improve surgical outcomes. His interests include clinical decision support to optimize surgical opioid prescribing, computer vision of open surgical videos for performance analysis and feedback, and leveraging large-scale database and machine learning models to inform surgical planning and improve outcomes. As the co-founder of a successful recently acquired machine learning and computer vision company, he now teaches health IT innovation courses at the medical school and mentors several digital health startups. Gabriel has an undergraduate degree in bioengineering and a graduate degree in public health and biostatistics from the London School of Hygiene and Tropical Medicine. He completed his medical training at Stanford University and his surgical residency at Johns Hopkins Hospital.

Postoperative Opioid Prescribing via Rule-Based Guidelines Derived from In-Hospital Consumption: An Assessment of Efficacy Based on Postdischarge Opioid Use.
Authors: Beaulieu-Jones BR, Berrigan MT, Marwaha JS, Robinson KA, Nathanson LA, Fleishman A, Brat GA.
J Am Coll Surg
View full abstract on Pubmed
Mobilizing data during a crisis: Building rapid evidence pipelines using multi-institutional real world data.
Authors: Marwaha JS, Downing M, Halamka J, Abernethy A, Franklin JB, Anderson B, Kohane I, Wagholikar K, Brownstein J, Haendel M, Brat GA.
Healthc (Amst)
View full abstract on Pubmed
Barriers to Postdischarge Smartphone App Use Among Patients With Traumatic Rib Fractures.
Authors: Berrigan MT, Beaulieu-Jones BR, Baines R, Berkowitz S, Evans H, Brat GA.
JMIR Form Res
View full abstract on Pubmed
An operational guide to translational clinical machine learning in academic medical centers.
Authors: Poddar M, Marwaha JS, Yuan W, Romero-Brufau S, Brat GA.
NPJ Digit Med
View full abstract on Pubmed
Characterization of Post-COVID-19 Definitions and Clinical Coding Practices: Longitudinal Study.
Authors: Maripuri M, Dey A, Honerlaw J, Hong C, Ho YL, Tanukonda V, Chen AW, Panickan VA, Wang X, Zhang HG, Yang D, Samayamuthu MJ, Morris M, Visweswaran S, Beaulieu-Jones B, Ramoni R, Muralidhar S, Gaziano JM, Liao K, Xia Z, Brat GA, Cai T, Cho K.
Online J Public Health Inform
View full abstract on Pubmed
Evaluating capabilities of large language models: Performance of GPT-4 on surgical knowledge assessments.
Authors: Beaulieu-Jones BR, Berrigan MT, Shah S, Marwaha JS, Lai SL, Brat GA.
View full abstract on Pubmed
An Institutional Curriculum for Opioid Prescribing Education: Outcomes From 2017 to 2022.
Authors: Beaulieu-Jones BR, Berrigan MT, Robinson KA, Marwaha JS, Kent TS, Brat GA.
J Surg Res
View full abstract on Pubmed
Analyzing Surgical Technique in Diverse Open Surgical Videos With Multitask Machine Learning.
Authors: Goodman ED, Patel KK, Zhang Y, Locke W, Kennedy CJ, Mehrotra R, Ren S, Guan M, Zohar O, Downing M, Chen HW, Clark JZ, Berrigan MT, Brat GA, Yeung-Levy S.
View full abstract on Pubmed
Integrating Human Intuition Into Prediction Algorithms for Improved Surgical Risk Stratification.
Authors: Berrigan MT, Beaulieu-Jones BR, Marwaha J, Fladger A, Katlic MR, Brat GA.
Ann Surg
View full abstract on Pubmed
Leveraging informative missing data to learn about acute respiratory distress syndrome and mortality in long-term hospitalized COVID-19 patients throughout the years of the pandemic.
Authors: Getzen E, Tan AL, Brat G, Omenn GS, Strasser Z, Long Q, Holmes JH, Mowery D.
View full abstract on Pubmed