Latest AI and machine learning research in surveys for healthcare professionals.
Weakly Supervised Object Localization (WSOL) models enable joint classification and region-of-intere...
Background: Longitudinal measurement of depression severity in outpatient psychiatric care is limite...
Artificial intelligence (AI)-driven decision support systems can improve diagnostic accuracy and eff...
Understanding how neural networks rely on visual cues offers a human-interpretable view of their int...
Low-field to high-field MRI synthesis has emerged as a cost-effective strategy to enhance image qual...
Elasmobranch populations are experiencing significant global declines, and several species are curre...
Understanding how neural networks rely on visual cues offers a human-interpretable view of their int...
Background: Previous research has shown that radiomics-based machine learning models are promising p...
Objective: In Parkinson's disease (PD), gait-related digital mobility outcomes (DMOs) show promise f...
Objective: To evaluate the effectiveness of various Large Language Models (LLMs) in identifying reli...
Reliable unmanned aerial vehicle (UAV) detection is critical for autonomous airspace monitoring but ...
Training-free one-shot segmentation offers a scalable alternative to expert annotations where knowle...
Ensuring fairness in image classification prevents models from perpetuating and amplifying bias. Con...
Agentic retrieval-augmented reasoning pipelines are increasingly used to structure how large languag...
Accurate polyp segmentation from colonoscopy images is critical for colorectal cancer prevention, ye...
Popular explanation methods often produce unreliable feature importance scores due to missingness bi...
Background: Artificial intelligence chatbots (AICs) are increasingly being integrated into scholarly...
Cell migration is a key biological process underlying wound healing, tissue development, and cancer ...
We study a systematic bias in modern image generation models: the mention order of entities in text ...
When visual evidence is ambiguous, vision models must decide whether to interpret face-like patterns...
Background: Cognitive decline and dementia represent major public health challenges in aging populat...