1 code implementation • 4 Jun 2024 • Mirza Farhan Bin Tarek, Raphael Poulain, Rahmatollah Beheshti
Our proposed pipeline can add a widely applicable and complementary tool to the existing toolbox of methods to address fairness in health AI applications such as those modifying the design of a downstream model.
1 code implementation • 23 Apr 2024 • Raphael Poulain, Hamed Fayyaz, Rahmatollah Beheshti
Large Language Models (LLMs) have emerged as powerful candidates to inform clinical decision-making processes.
1 code implementation • 19 May 2023 • Raphael Poulain, Mirza Farhan Bin Tarek, Rahmatollah Beheshti
Developing AI tools that preserve fairness is of critical importance, specifically in high-stakes applications such as those in healthcare.
2 code implementations • 29 Apr 2022 • Mehak Gupta, Brennan Gallamoza, Nicolas Cutrona, Pranjal Dhakal, Raphael Poulain, Rahmatollah Beheshti
An increasing amount of research is being devoted to applying machine learning methods to electronic health record (EHR) data for various clinical purposes.