Latest AI and machine learning research in medicolegal for healthcare professionals.
To better integrate into processes like rapid adaptive planning and quality assurance, this study ai...
Since the early 1970s, technology has increasingly become integrated into the healthcare field. Toda...
The integration of machine-learning technologies into radiology practice has the potential to signif...
Natural language generation (NLG) is the key technology to achieve generative artificial intellige...
The recent proliferation of photorealistic images created by generative models has sparked both ex...
As artificial intelligence systems grow more capable and autonomous, frontier AI development poses...
Artificial intelligence (AI) is transforming healthcare by enhancing diagnostics, personalizing medi...
Artificial Intelligence (AI) is transforming healthcare by improving diagnostics, decision-making, a...
IMPORTANCE: The increase of electronic health record (EHR) work negatively impacts clinician well-be...
BACKGROUND: Good medical records are an essential part of healthcare. However, the burden of clinica...
The automatic summarization of surgical videos is essential for enhancing procedural documentation...
Suicide is a critical global public health issue, with millions experiencing suicidal ideation (SI...
Characterization of atomic-scale materials traditionally requires human experts with months to yea...
The governance of frontier artificial intelligence (AI) systems--particularly those capable of cat...
OBJECTIVE: Raman spectroscopy is proposed as a next-generation method for the identification of mono...
BACKGROUND: Robotic systems enhance physicians' capabilities by replicating hand movements in real-t...
Pulmonary embolism (PE) is a leading cause of cardiovascular mortality, yet our understanding of o...
The rapid evolution of Large Vision-Language Models (LVLMs) has highlighted the necessity for comp...
Analyzing CT scans, MRIs and X-rays is pivotal in diagnosing and treating diseases. However, detec...
Machine Learning (ML) models are widely used across various domains, including medical diagnostics...
Given the substantial growth in the use of additive manufacturing in construction (AMC), it is nec...