The LancetOpinion

Deception in clinical large language models: an under-recognised safety risk

Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...
RMD Open

Therapist effects in real-world rehabilitation outcomes: a cohort study of the nationwide GLA:D osteoarthritis management programme in Denmark

Objective Unlike several other fields of healthcare, little is known about the size of ‘therapist effects’ on patient ...
GitHub

VLAC: A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning

VLAC is a general-purpose pair-wise critic and manipulation model which designed for real world robot reinforcement learning and data refinement. It provides robust evaluation capabilities for task ...
Cosmopolitan

All About the ‘Tell Me Lies’ Cast’s Real-Life Partners

Tell Me Lies just reached its conclusion after three seasons, and no, I am very much not over it. Based on Carola Lovering’s novel of the same name, the Hulu series followed the twisty, toxic love ...
jech.bmj

Sensitive life-stage periods and genetic susceptibility in the association between air pollution and ischaemic stroke risk: a Bayesian life-course analysis

2 The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China 3 Guangdong Clinical Research Academy of Chinese Medicine, Guangzhou, China Background Air pollution ...
IEEE

Bayesian-Driven Optimization of MDCNN-LSTM-RSA: A New Model for Predicting Aeroengine RUL

Abstract: Accurate estimation of remaining useful life (RUL) in aeroengines is essential for improving safety, reducing operational costs, and optimizing maintenance strategies within the aviation ...
IEEE

Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent

Abstract: A crucial task in predictive maintenance is estimating the remaining useful life of physical systems. In the last decade, deep learning has improved considerably upon traditional model-based ...