Surgical Informatics Lab

👋Don’t miss out this Thursday to attend the @nejmcatalyst free event. Our director, Dr. Gabriel Brat @bratogram, will discuss “AI for Enhancing Public Health” with public health experts and others. Link: bit.ly/3D073ku #HealthCareAI #ArtificialIntelligence #medtwitter

Open surgery is a challenging frontier for AI. A computer vision model trained on diverse YouTube surgical content and deployed on prospectively recorded surgical videos showed promise in differentiating btwn operators of variable training and experience. ja.ma/41cYtuU

Congrats to @bratogram and @Jayson_Marwaha. SILab project was highlighted by @JAMANetworkOpen. Team wanted to understand how opioid prescribing after surgery was related to downstream family risk of chronic opioid use and misuse. Refills were a major risk factor.

Our recent paper in @SurgJournal. A collaboration with @MIT_CSAIL to build machine learning-based opioid prescribing tools. Read more at surgjournal.com/article/S0039-… #ML #AI #opiods #medtwitter #surgicalAI

Tools may be agnostic, but we have to acknowledge the world as it is today: US market share Epic: 32.9% Cerner: 24.4% Meditech: 16.7% Reading @beckershr EHR vendors ranked by ​​percentage of hospital market share beckershospitalreview.com/ehrs/ehr-vendo…

Inspired work by @Jayson_Marwaha, fellow in the lab. New modalities will soon generate data that expand our understanding of the surgical journey. The intervention to improve that journey will be surgical informatics.

📆Implementing AI models into patient care presents challenges to deliver optimal care. Dr. Gabriel Brat, Director of the Surgical Informatics Lab, discussed at @nejmcatalyst free event about “AI for Enhancing Public Health.” Link: bit.ly/3D7wSz1 #medtwitter #AI

1st paper of Stanford/BIDMC collaborative to deploy CV to 1) evaluate surgical skill and intraoperative surgical signatures, 2) understand the role of intraoperative behaviors to perioperative outcomes. 7/7

Our AI model was able to extract hand kinematics (velocity, pose change, etc.) to differentiate trainees from experienced surgeons. @BIDMCSurgery #ComputerVision #surgicalAI 6/n

New preprint out on computer vision for open surgery: our Stanford/BIDMC collaborative with Serena Yeung lab has developed & validated a model that identifies intraoperative behaviors from open videos associated with surgeon skill level. @BIDMCSurgery @HarvardDBMI #surgicalAI 1/n

For each surgery and hospital systems, we found significant differences in amount prescribed and consumed. COVID may have delayed the research agenda, but feel free to DM or email our team to collaborate! We’re growing our collaborative. 2/2

Check our new in print paper @AnnalsofSurgery from our amazing team @KortneyR10 @bratogram et al. @BIDMCSurgery bit.ly/34tdaRq #medtwitter #opioids 1/n

Tomorrow, our PI. Dr. Brat @bratogram is a special guest speaker for the @SurgOutcomes Club. He will give a panel talk on “The Promise of Longitudinal Patient Data and #ComputerVision in the OR to make #SurgicalAI a Reality” @BIDMCSurgery #ASC2022 #medtwitter @AcademicSurgery #ML

#ASC2022 🎤Oral presentation this morning: @Jayson_Marwaha describes our work in the SILab to develop, validate, implement, & evaluate a machine learning-based intervention to improve opioid prescribing at @BIDMCSurgery @AcademicSurgery @HarvardDBMI #medtwitter #MachineLearning

Using open science practices is important for producing reproducible & transparent research. The use of these tools by surgical journals & researchers is limited. This gap is a big oppty to improve the quality of surgical research. #ASC2022 @BIDMCSurgery @HaoWei95 @Jayson_Marwaha

👏🏼@Jayson_Marwaha Collaboration strategies that creatively leverage real-world data from multiple institutions is key to rapidly generating high-quality evidence that can guide policy making, public health decisions, and clinical care. #ASC2022 #medtwitter @BIDMCSurgery