Past Winners
2024
Crowdsourcing with Enhanced Data Quality Assurance: An Efficient Approach to Mitigate Resource Scarcity Challenges in Training Large Language Models for Healthcare
- Prosanta Barai, Gondy Leroy, Prakash Bisht, Joshua Rothman, Sumi Lee, Jennifer Andrews, Sydney Rice, Arif Ahmed (UArizona, UCSD)
2023
Timeline Registration for Electronic Health Records
- Shiyi Jiang, et al.
2021
Preferential MoE: Interpretable Models that Rely on Human Expertise As Much As Possiblew
- M. Pradier, J. Zazo, S. Parbhoo, Harvard University; R. Perlis, Massachusetts General Hospital; M. Zazzi, University of Sienna; F. Doshi-Velez, Harvard University
2020
A Comparative Analysis of Speed and Accuracy for Three Off-the-Shelf De-identification Tools
- Paul Heider, Jihad Obeid, Stephane Meystre, Medical University of South Carolina
2019
Efficient Active Learning for Electronic Medical Record De-identification
- Muqun Li, Vanderbilt University/Privacy Analytics; Martin Scaiano, Google; Khaled El Emam, Privacy Analytics; Bradley Malin, Vanderbilt University