Latest AI and machine learning research in medicolegal for healthcare professionals.
As artificial intelligence (AI) becomes more integrated into public decision-making, its anthropomor...
BACKGROUND: Widespread adoption of artificial intelligence into surgical care heavily depends on cli...
Human-in-the-loop oversight is widely invoked as a safeguard against potential harm from artificial ...
CO2 conversion to value-added fuels and chemicals under photocatalytic conversion is a sustainable s...
This study presents a comprehensive simulation-based assessment of potential transboundary radiologi...
Artificial intelligence (AI) scribes using ambient documentation technology that capture clinician-p...
Contrast-induced acute kidney injury (CI-AKI), the third most common cause of hospital-acquired kidn...
BACKGROUND: High-quality observation and feedback contribute to the development of clinical competen...
The development and use of artificial intelligence (AI)-supported medicine does not take place in a ...
BACKGROUND: Patients' digital access to their personal health data is becoming increasingly common w...
Nanoplastics (NPs) are globally recognized as pervasive emerging contaminants with demonstrated toxi...
Medical text records serve as essential repositories of patient information, providing a foundation ...
BACKGROUND: The process of fracture healing encompasses tightly regulated cellular and molecular int...
Paediatric oncology relies heavily on medical imaging for diagnosis, treatment planning, and longitu...
The current study employs Bayesian-regularization optimizer technique with artificial neural network...
Artificial intelligence (AI) is gaining importance in the field of cardiology. By analyzing complex ...
High-power impulse magnetron sputtering (HiPIMS) offers considerable control over ion energy and flu...
OBJECTIVE: The use of ambient AI documentation tools is rapidly growing in US hospitals and clinics....
BACKGROUND: Generative artificial intelligence (GenAI) is rapidly expanding in higher education and ...
Traditional Chinese ink paintings on paper or silk are highly susceptible to degradation. Over time,...