RobustAI NJIT Rutgers AI for Medical Education
We are an academic industrial partnership on a mission to create AI solutions for medical
education.
Personnel
- PI: Advaith Bongu
- PI: Usman Roshan
- Research associate: Yunzhe Xue
- Surgical resident: Andrew Hu
Press
Grants
- AVES: AI video evaluation of surgical skills, Medical Education Innovator Award from Rutgers
University, NJ, USA, 2023-2024
Professional medical presentations
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Hu, A. Roshan U, Ady J, Muralidhar R, Getrajdman J, Cai J, Maloney-Patel N, Bongu A. AI Model
Improvement of FLS
PEG Transfer Competency After Video Annotation Optimization. Oral Presentation at ACS Surgeons and
Engineers
Conference 2024, Chicago, IL (3/13/2024).
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Eletta O, Hu A, Xue Y, Roshan U, Ady JW, Cai J, Getrajdman J, Maloney-Patel N, Bongu A. Machine
Learning System
For Performance Feedback Using Low Cost Surgical Simulator. American College of Surgeons Clinical
Congress 2023,
Boston MA. [oral presentation 10/25/2023]
Peer reviewed publications
-
Yunzhe Xue, Andrew Hu, Rohit Muralidhar, Justin W. Ady, Advaith Bongu, and Usman Roshan, An AI
system for evaluating pass fail in fundamentals of laparoscopic surgery from live video in realtime
with performative
feedback, accepted to The 6th Workshop in Artificial Intelligence Techniques for
BioMedicine and Healthcare, IEEE International Conference on Bioinformatics and
Biomedicine (BIBM), 2023 (local link to paper)
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Yunzhe Xue, Olanrewaju Eletta, Justin W Ady, Nell Maloney Patel, Advaith Bongu, and Usman Roshan,
A cascaded neural network system for rating student performance in surgical knot tying simulation,
accepted to
11th IEEE International Conference on Healthcare Informatics (ICHI), 2023, (PDF, local link to paper)