Medical Reasoning With Large Language Models: A Systematic Review and Evaluation
ABSTRACT Large language models (LLMs) have achieved strong performance on medical exam–style tasks, motivating growing interest in their deployment in real‐world clinical settings. However, clinical decision‐making is inherently safety‐critical, context‐dependent, and conducted under evolving evidence.
Xiaohan Ren +6 more
wiley +1 more source
Toward leveraging intrinsic point cloud features in 3D adversarial attacks. [PDF]
Naderi H, Dinesh C, Bajić IV, Kasaei S.
europepmc +1 more source
Generating imperceptible adversarial examples via low-frequency aware transfer attacks on battery management systems. [PDF]
Min K +5 more
europepmc +1 more source
ABSTRACT As organizations increasingly adopt human‐AI teams (HATs), understanding how to enhance team performance is paramount. A crucially underexplored area for supporting HATs is training, particularly helping human teammates to work with these inorganic counterparts.
Caitlin M. Lancaster +5 more
wiley +1 more source
Variance Extrapolated Class-Imbalance-Aware Domain Adaptive Myocardial Segmentation in Multi-Sequence Cardiac MRI. [PDF]
Xing F +6 more
europepmc +1 more source
Unlocking Value Co‐Creation in IoT Platforms: Insights From a Collaborative Manufacturing Case
ABSTRACT This study examines value co‐creation in IoT platform ecosystems through a case study of the collaborative manufacturing platform E‐LINK. We explore the evolution of platform data capabilities, user interactions, value creation, and the mechanisms that connect them.
Huayao Zhang +4 more
wiley +1 more source
Query-Efficient Hard-Label Attack: A Prior-Guided Adam Ray Search Optimization. [PDF]
Ding T, Xu X, Xuan Q, Yu H, Ma C.
europepmc +1 more source
Artificial Intelligence in Dermatology: Current Applications and Future Directions
This scoping review of 56 studies maps AI applications in dermatology. Image‐based classification for skin cancer detection dominates (48%), followed by clinical decision support (21%), teledermatology triage (11%), and predictive analytics (11%). While deep learning algorithms demonstrate diagnostic performance comparable to clinicians in controlled ...
Sofía Pérez‐Lalinde +1 more
wiley +1 more source
Clinical Plausibility in Large Language Model Robustness Testing for Medicine: A Scoping Review. [PDF]
Chang Y +4 more
europepmc +1 more source
The figure was created in BioRender.com. ABSTRACT Accurate and early diagnosis remains a key challenge in modern disease management. Conventional diagnostic methods often suffer from limitations in sensitivity, spatial resolution, and practical usability.
Zizhuo Du +10 more
wiley +1 more source

