Latest AI and machine learning research in risk management for healthcare professionals.
In the last ten years, medical robotics has moved from the margins to the mainstream. Since the Engi...
Computer-use agents hold the promise of assisting in a wide range of digital economic activities. Ho...
Scaling generative inverse and forward rendering to real-world scenarios is bottlenecked by the limi...
Background: The integration of artificial intelligence (AI) into clinical practice holds transformat...
The deployment of large language models (LLMs) for science carries an intrinsic risk: hallucination ...
Protein language models (PLMs) are increasingly central to protein engineering and drug discovery. M...
Agentic vision-language models increasingly act through extended interactions, but most evaluations ...
Background Narcolepsy is a rare, lifelong neurological disorder that often begins in childhood or ad...
Blind Sweep Obstetric Ultrasound (BSOU) enables scalable fetal imaging in low-resource settings by a...
Recent advances in image generation models have expanded their applications beyond aesthetic imagery...
Introduction: Timely, protocol-adherent clinical decisions are crucial for reducing neonatal mortali...
Electronic Navigational Charts (ENCs) are the safety-critical backbone of modern maritime navigation...
Time toxicity, the cumulative healthcare contact days from clinical trial participation, is an impor...
Background: Cardiovascular disease (CVD) prevention is limited by the major challenge of low long-te...
Despite the rapid progress of Multimodal Large Language Models (MLLMs), their ability to perform rel...
Background: Statistical Analysis Plans (SAPs) are essential for trial transparency and credibility b...
Background: The administrative burden of clinical documentation is a recognised contributor to clini...
Vision-language process reward models (VL-PRMs) are increasingly used to score intermediate reasonin...
Multi-agent LLM orchestration incurs synchronization costs scaling as O(n x S x |D|) in agents, step...
Increasing staffing constraints and turnaround-time pressures in Prior authorization (PA) have led t...
Publicly available full-field digital mammography (FFDM) datasets remain limited in size, clinical l...