Latest AI and machine learning research in medicolegal for healthcare professionals.
Data-driven characterization of symptom clusters in chronic conditions is essential for shared clust...
BACKGROUND: Modern day otolaryngology has expanded beyond the ear, nose and throat to include head a...
In plastic surgery and cosmetic dermatology, photographic data are an invaluable element of research...
At present, the preparation methods of oil-water separation membranes include chemical vapor deposit...
Continuity of care is achieved in the neonatal intensive care unit (NICU) through careful documentat...
Parkinson's disease (PD) is a progressive neurodegenerative disease presenting with motor and non-mo...
The purpose of this study was to describe incident reporters' views identified by artificial intelli...
Traditionally, analysis of neuropathological markers in neurodegenerative diseases has relied on vis...
BACKGROUND CONTEXT: The increasing volume of free-text notes available in electronic health records ...
Silver/silver halide supported on ordered mesoporous ceria particles (Ag/AgCl/CeO) were rapidly prep...
The advent of susceptibility-sensitive MRI techniques, such as susceptibility weighted imaging (SWI)...
In clinical routine, wound documentation is one of the most important contributing factors to treati...
PHOTONAI is a high-level Python API designed to simplify and accelerate machine learning model devel...
CONTEXT: Large multisite clinical trials studying decision-making when facing serious illness requir...
Ion intercalation based programmable resistors have emerged as a potential next-generation technolog...
Reservoir facies modeling is an important way to express the sedimentary characteristics of the targ...
The efficient and reliable monitoring of the flow of water in open channels provides useful informat...
Autonomous experimentation driven by artificial intelligence (AI) provides an exciting opportunity t...
RATIONALE AIMS AND OBJECTIVES: As quality measurement becomes increasingly reliant on the availabili...
We argue why interpretability should have primacy alongside empiricism for several reasons: first, i...
Background and purpose - Artificial intelligence (AI), deep learning (DL), and machine learning (ML)...