2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CL2025
AI-Powered Detection of Inappropriate Language in Medical School Curricula
Chiman Salavati, Shannon Song, Scott A. Hale +3
The use of inappropriate language -- such as outdated, exclusionary, or non-patient-centered terms -- medical instructional materials can significantly influence clinical training,…
cs.CY2024★ 2 cited
Reducing Biases towards Minoritized Populations in Medical Curricular Content via Artificial Intelligence for Fairer Health Outcomes
Chiman Salavati, Shannon Song, Willmar Sosa Diaz +4
Biased information (recently termed bisinformation) continues to be taught in medical curricula, often long after having been debunked. In this paper, we introduce BRICC, a firstin…