Towards clinical AI fairness: A translational perspective. - Mingxuan Liu; Yilin Ning; Salinelat Teixayavong; Mayli Mertens; Jie Xu 012; Daniel Shu Wei Ting; Lionel Tim-Ee Cheng; Jasmine Chiat Ling Ong; Zhen Ling Teo; Ting Fang Tan; Ravi Chandran Narrendar; Fei Wang 001; et al. (CoRR, 2023)

Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist. - Yilin Ning; Salinelat Teixayavong; Yuqing Shang; Julian Savulescu; Vaishaanth Nagaraj; Di Miao; Mayli Mertens; Daniel Shu Wei Ting; Jasmine Chiat Ling Ong; Mingxuan Liu; Jiuwen Cao; Michael Dunn; et al. (CoRR, 2023)

A translational perspective towards clinical AI fairness. - Mingxuan Liu; Yilin Ning; Salinelat Teixayavong; Mayli Mertens; Jie Xu 012; Daniel Shu Wei Ting; Lionel Tim-Ee Cheng; Jasmine Chiat Ling Ong; Zhen Ling Teo; Ting Fang Tan; Ravi Chandran Narrendar; Fei Wang 001; et al. (npj Digit. Medicine, 2023)

Towards Clinical AI Fairness: Filling Gaps in the Puzzle. - Mingxuan Liu; Yilin Ning; Salinelat Teixayavong; Xiaoxuan Liu; Mayli Mertens; Yuqing Shang; Xin Li 079; Di Miao; Jie Xu 012; Daniel Shu Wei Ting; Lionel Tim-Ee Cheng; Jasmine Chiat Ling Ong; et al. (CoRR, 2024)

A scoping review and evidence gap analysis of clinical AI fairness. - Mingxuan Liu; Yilin Ning; Salinelat Teixayavong; Xiaoxuan Liu; Mayli Mertens; Yuqing Shang; Xin Li 079; Di Miao; Jingchi Liao; Jie Xu 012; Daniel Shu Wei Ting; Lionel Tim-Ee Cheng; et al. (npj Digit. Medicine, 2025)