6 papers
Toward Global Large Language Models in Medicine
Rui Yang, Huitao Li, Weihao Xuan +47
Despite continuous advances in medical technology, the global distribution of health care resources remains uneven. The development of large language models (LLMs) has transformed…
Attention-Guided Fair AI Modeling for Skin Cancer Diagnosis
Mingcheng Zhu, Mingxuan Liu, Han Yuan +4
Artificial intelligence (AI) has shown remarkable promise in dermatology, offering accurate and non-invasive diagnosis of skin cancer. While extensive research has addressed skin t…
Equitable Survival Prediction: A Fairness-Aware Survival Modeling (FASM) Approach
Mingxuan Liu, Yilin Ning, Haoyuan Wang +5
As machine learning models become increasingly integrated into healthcare, structural inequities and social biases embedded in clinical data can be perpetuated or even amplified by…
Gender Bias in Large Language Models for Healthcare: Assignment Consistency and Clinical Implications
Mingxuan Liu, Yuhe Ke, Wentao Zhu +9
The integration of large language models (LLMs) into healthcare holds promise to enhance clinical decision-making, yet their susceptibility to biases remains a critical concern. Ge…
seeBias: A Comprehensive Tool for Assessing and Visualizing AI Fairness
Yilin Ning, Yian Ma, Mingxuan Liu +2
Fairness in artificial intelligence (AI) prediction models is increasingly emphasized to support responsible adoption in high-stakes domains such as health care and criminal justic…
Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action
Jasmine Chiat Ling Ong, Yilin Ning, Mingxuan Liu +13
The integration of generative AI (GenAI) and large language models (LLMs) in healthcare presents both unprecedented opportunities and challenges, necessitating innovative regulator…