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20172026
most citedContinuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach

102 citations · 349 across the 49 of their papers we have counts for

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7 papers · 1 filter

cs.CY2025

Auditing Sex/Gender Disparities in Emergency Triage with LLM-based Paired Comparisons

Ariel Guerra-Adames, Marta Avalos-Fernandez, Océane Dorémus +3

We present a domain-agnostic paired-comparison approach that uses Large Language Models (LLMs) to quantify sex/gender-related asymmetries in documented clinical decision-making. Th…

cs.CY2025

Bridging the Regulatory Divide: Ensuring Safety and Equity in Wearable Health Technologies

Akshay Kelshiker, Susan Cheng, Jivan Achar +7

As wearable health technologies have grown more sophisticated, the distinction between "wellness" and "medical" devices has become increasingly blurred. While some features undergo…

cs.CY2025

Red Teaming for Generative AI, Report on a Copyright-Focused Exercise Completed in an Academic Medical Center

James Wen, Sahil Nalawade, Zhiwei Liang +38

Background: Generative artificial intelligence (AI) deployment in academic medical settings raises copyright compliance concerns. Dana-Farber Cancer Institute implemented GPT4DFCI,…

cs.CY2024

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models

Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres +27

Large language models (LLMs) hold promise to serve complex health information needs but also have the potential to introduce harm and exacerbate health disparities. Reliably evalua…

cs.CY20235 cited

Unmasking Biases and Navigating Pitfalls in the Ophthalmic Artificial Intelligence Lifecycle: A Review

Luis Filipe Nakayama, João Matos, Justin Quion +8

Over the past two decades, exponential growth in data availability, computational power, and newly available modeling techniques has led to an expansion in interest, investment, an…

cs.CY2023

Towards clinical AI fairness: A translational perspective

Mingxuan Liu, Yilin Ning, Salinelat Teixayavong +12

Artificial intelligence (AI) has demonstrated the ability to extract insights from data, but the issue of fairness remains a concern in high-stakes fields such as healthcare. Despi…