Yilin Ning

An efficient global optimization algorithm with adaptive estimates of the local Lipschitz constants

Yilin Ning

Building a Global Research Network for Fair, Accountable, Interpretable, and Responsible AI in Emergency Care: Protocol for a FAIR-EC Study

Chuan Hong, Jonathan Chong Kai Liew, JaeYong Yu, Tomás Barry et autres

Background: The current landscape of emergency care (EC) is marked by high demand, leading to issues such as emergency department boarding, overcrowding, and subsequent delays that impact the quality and safety of patient care. Integrating data science into EC can enhance decision-making …

us, kr, ie, sg, au, se, gb, ca, jp, pk, il, pl, cn (code pays fourni par la source)

Toward Global Large Language Models in Medicine

Rui Yang, Huitao Li, Weihao Xuan, Heli Qi et autres

Despite continuous advances in medical technology, the global distribution of health care resources remains uneven. The development of large language models (LLMs) has transformed the landscape of medicine and holds promise for improving health care quality and expanding access to medical information …

Toward Global Large Language Models in Medicine

Rui Yang, Huitao Li, Weihao Xuan, Heli Qi et autres

Despite continuous advances in medical technology, the global distribution of health care resources remains uneven. The development of large language models (LLMs) has transformed the landscape of medicine and holds promise for improving health care quality and expanding access to medical information …

Enabling Equitable Global Health AI with Privacy-Enhancing Technologies

Siqi Li, Chao Yan, Jasmine Chiat Ling Ong, Yilin Ning et autres

Towards Rigorous Economic Evidence for Clinical AI

Robin D. Blythe, Melissa Therese Baysari, Gary S. Collins, Darren Lawrence Dahly et autres

Study on split diesel injection ammonia/hydrogen mixture fuel combustion on engine combustion and emission performance

Keshuai Sun, Enzhe Song, Ge Su, Yilin Ning

Ammonia has gained increasing attention as a carbon-free alternative fuel for freight applications, particularly in the shipping industry. However, the challenges associated with nitrous oxide (N₂O) emissions, which have a global warming potential nearly 300 times that of carbon dioxide (CO₂) and …

Equitable Survival Prediction: A Fairness-Aware Survival Modeling (FASM) Approach

Mingxuan Liu, Yilin Ning, Haoyuan Wang, Chuan Hong et autres

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 data-driven models. In survival analysis, censoring and time dynamics can further add complexity to fair model development. …

A novel multichannel feature extraction method for ship bearings: composite multiscale weighted cross improved diversity entropy

Junhua Wu, Yun Ke, Jiaqiu Song, Yilin Ning et autres

The multichannel monitoring signals for ship bearings have the advantage of richer information compared with single-channel signals, but how to fully extract the feature information is still a major difficulty in realizing the intelligent diagnosis of bearings. The existing advanced cross-diversity entropy …

cn (code pays fourni par la source)

Gender Bias in Large Language Models for Healthcare: Assignment Consistency and Clinical Implications

Mingxuan Liu, Yuhe Ke, Wentao Zhu, Mayli Mertens et autres

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. Gender has long influenced physician behaviors and patient outcomes, raising concerns that LLMs assuming human-like roles, such as …

How can artificial intelligence transform the training of medical students and physicians?

Yilin Ning, Jasmine Chiat Ling Ong, Haoran Cheng, Haibo Wang et autres

Advances in artificial intelligence (AI), particularly generative AI, hold promise for transforming medical education and physician training in response to increasing health-care demands and shortages in the global health-care workforce. Meanwhile, challenges remain in the effective and equitable integration of AI technology …

sg, cn (code pays fourni par la source)

Developing federated time-to-event scores using heterogeneous real-world survival data

Ziwen Wang, Yuqing Shang, Qiming Wu, Chuan Hong et autres

OBJECTIVE: Survival analysis serves as a fundamental component in numerous healthcare applications, where the determination of the time to specific events (such as the onset of a certain disease or death) for patients is crucial for clinical decision-making. Scoring systems are widely …

sg, us (code pays fourni par la source)