Reasoning-driven large language models in medicine: opportunities, challenges, and the road ahead.
Xiaofei Wang, Zhu-Xin Xiong, K. Zou, Sahana Srinivasan, T. Lo, Yi-Lan Wu, Min-Jie Zou, Nan Liu, F. Antaki, Wei-Ying Ma, A. Atanasov, Julian Savulescu, Josip Car, David C. Klonoff, Bin Sheng, Tien Y. Wong, Qing-Yu Chen, Y. Tham
Platforms for artificial intelligence-enabled infectious disease surveillance
Marya Getchell, Michael Barber, Tom Carpino, Carl J E Suster, V. Sintchenko, Nan Liu, Suci Wulandari, Yoong Khean Khoo, Ashley Tsai, Jun-Xiong Pang, D. Hipgrave, S. Kumar, A. W. Maula, Philip AbdelMalik, T. Dallman, P. Pronyk
Ethical principles and considerations in health AI
Yi-Lin Ning, Yian Ma, Ming-Xuan Liu, G. Collins, A. Thirunavukarasu, Melissa D. McCradden, J. Ong, Yu-He Ke, D. Ting, D. Bitterman, Y. Tham, A. Denniston, P. Keane, Josip Car, Patrick Tan, K. Moons, Tien Y. Wong, Eric J. Topol, Nan Liu
Yu-He Ke, Li-Yuan Jin, J. Ong, A. Thirunavukarasu, Josip Car, C. Y. Cheung, Y. Tham, D. Ting, M. Ong, S. Compton, Aditee Narayan, P. Keane, Tien Y. Wong, David W. Bates, Patrick Tan, Nan Liu
Liability in health artificial intelligence: a scoping review
Gini Wei Wen Wong, Bryan Wei Zhi Wong, Serim Kim, Yi-Mei Sun, Cheryl K. F. Seah, Allen Kiat Peng Sng, Andrew Fu Wah Ho, Jasmine Chiat Ling Ong, Nan Liu
Patient factors in medical artificial intelligence: a systematic review
Shi-Xin Lai, Z. Guan, Yulu Zhang, Jun-Xian Hong, Dian Zeng, Justin B. Echouffo-Tcheugui, Yi-Ming Qin, Jie Shen, Hua-Ting Li, Ze-Hua Jiang, Hai-Chao Chen, Yi-Lan Wu, Zi-Hao Zou, Ge-Zheng Zhao, Yue Qiu, J. Ong, Nan Liu, Xiao-Dong Sun, Saleha Masood, Han Lv, N. Mathioudakis, Ethan Goh, Lorainne Tudor Car, P. Keane, David C. Klonoff, Tien Y. Wong, Bin Sheng
Enabling equitable global health AI with privacy‑enhancing technologies
Siqi Li, Chao Yan, J. Ong, Yi-Lin Ning, Serim Kim, Wang-Xuan Fan, Katherine E. Brown, Iain Beehuat Tan, E. Wong, Qian Long, Zeng-Xiang Li, P. Pronyk, Michael Barber, L. Low, M. Ong, E. Petretto, H. Tan, Melissa D. McCradden, Rui Yang, Rui Zhang, Li-Jing L. Yan, D. Ting, B. Mateen, A. Denniston, Bradley A. Malin, Nan Liu
J. Ong, Yi-Lin Ning, Rui Yang, D. Bitterman, Xiaoxuan Liu, Y. Tham, G. Collins, Michelle María Jiménez de Tavárez, B. Mateen, K. Amissah-Arthur, Bin Sheng, I. Tan, C. Hong, Lionel Tim-Ee Cheng, B. A. Goldstein, P. V. Lê, Yun Liu, H. Tan, M. Ong, S. Wagner, A. Denniston, P. Keane, Josip Car, W. Chapman, K. Moons, T. Wong, Eric J. Topol, Nan Liu
International partnership for governing generative artificial intelligence models in medicine
J. Ong, Yi-Lin Ning, G. Collins, D. Bitterman, A. Beecy, Robert T Chang, A. Denniston, Oscar Freyer, S. Gilbert, A. D. de Hond, A. Leeuwenberg, Liang Zhao, John C. W. Lim, Ming-Xuan Liu, Xiaoxuan Liu, Christopher A Longhurst, Yian Ma, Yue Qiu, R. Sarkar, Bin Sheng, Kuldev Singh, Iris Siu Kwan Tan, Y. Tham, A. Thirunavukarasu, D. Ting, S. Vogel, Rui Zhang, Jianfei Zhao, Wendy W Chapman, Nigam H. Shah, K. Moons, Tien Y. Wong, Nan Liu
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
K. Moons, J. Damen, T. Kaul, L. Hooft, C. Andaur Navarro, P. Dhiman, A. Beam, B. van Calster, L. Celi, S. Denaxas, A. Denniston, Marzyeh Ghassemi, G. Heinze, A. Kengne, Lena Maier-Hein, Xiaoxuan Liu, Patricia Logullo, Melissa D. McCradden, Nan Liu, Lauren Oakden-Rayner, Karandeep Singh, D. Ting, L. Wynants, Bada Yang, J. Reitsma, R. Riley, Gary S. Collins, M. van Smeden
Building a Global Research Network for Fair, Accountable, Interpretable, and Responsible AI in Emergency Care: Protocol for a FAIR-EC Study
Chuan Hong, J. Liew, Jaeyong Yu, Tomás Barry, A. Blewer, Daniel M. Buckland, Tianrun Cai, Won Chul Cha, Bibhas Chakraborty, Wei Chen, Jun Cheng, S. Chong, T. Djärv, Arul Earnest, Matthew M. Engelhard, Xiuyi Fan, Meng-Ling Feng, Jean Feng, Huazhu Fu, Wilson Wen Bin Goh, Benjamin A. Goldstein, Jessica L. Gronsbell, A. Ho, K. Ho, Taku Iwami, A. Joiner, A. Kornblith, Siqi Li, S. Lim, Molei Liu, Zhenghong Liu, Lei Lu, Yuan Luo, Y. Ng, Yi-Lin Ning, Y. Okada, J. O. Park, Y. Park, J. Razzak, Yu Shen, F. Siddiqui, Peter A D Steel, K. Tan, Salinelat Teixayavong, Bella Vakulenko-Lagun, J. Vissoci, Grzegorz Waligóra, Fei Wang, Hai-Bo Wang, Hao-Yuan Wang, A. Wong, Feng Xie, Jie Yang, Yiye Zhang, Dou-Dou Zhou, Li Zhou, Ting-Ting Zhu, Robert Neumar, David Page, Roger Vaughan, M. Ong, Nan Liu
Corrigendum to “Development and Asian-wide validation of the Grade for Interpretable Field Triage (GIFT) for predicting mortality in pre-hospital patients using the Pan-Asian Trauma Outcomes Study (PATOS)” [The Lancet Regional Health - Western Pacific 34 (2023) 100733]
Jaeyong Yu, Sejin Heo, Feng Xie, Nan Liu, S. Yoon, Hansol Chang, Taerim Kim, Se-Uk Lee, M. E. Hock Ong, Y. Ng, Sang Shin, K. Kajino, Wen-Chu Chiang, Won Chul Cha