4 papers
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…
Safety challenges of AI in medicine in the era of large language models
Xiaoye Wang, Nicole Xi Zhang, Hongyu He +9
Recent advancements in artificial intelligence (AI), particularly in large language models (LLMs), have unlocked significant potential to enhance the quality and efficiency of medi…
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…