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Reducing Biases towards Minoritized Populations in Medical Curricular Content via Artificial Intelligence for Fairer Health Outcomes

Reducing Biases towards Minoritized Populations in Medical Curricular Content via Artificial Intelligence for Fairer Health Outcomes

Chiman Salavati
Shannon Song
Willmar Sosa Diaz
Scott A. Hale
Roberto E. Montenegro
Fabricio Murai
Shiri Dori-Hacohen
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Papers citing "Reducing Biases towards Minoritized Populations in Medical Curricular Content via Artificial Intelligence for Fairer Health Outcomes"

3 / 3 papers shown
Title
CLaDMoP: Learning Transferrable Models from Successful Clinical Trials via LLMs
CLaDMoP: Learning Transferrable Models from Successful Clinical Trials via LLMs
Yiqing Zhang
Xiaozhong Liu
Fabricio Murai
55
0
0
24 May 2025
A Scaling Law for Token Efficiency in LLM Fine-Tuning Under Fixed Compute Budgets
A Scaling Law for Token Efficiency in LLM Fine-Tuning Under Fixed Compute Budgets
Ryan Lagasse
Aidan Kiernans
Avijit Ghosh
Shiri Dori-Hacohen
98
0
0
09 May 2025
Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation
Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation
Gavin Butts
Pegah Emdad
Jethro Lee
Shannon Song
Chiman Salavati
Willmar Sosa Diaz
Shiri Dori-Hacohen
Fabricio Murai
FaML
61
0
0
11 Sep 2024