Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 911 to 920 of 200,219 articles

Operationalizing Eight-Dimensional Patient-Safety Risk Scoring at Scale: A Multi-Model Large Language Model Reliability Study

medRxiv
Background: Hospital incident risk scoring has long relied on two- or three-dimensional frameworks (Severity Assessment Codes or Risk Priority Numbers),even though root cause analysis standards recognize that clinical risk is multi-factorial. The obs... read more 

Bridging Acoustic and Semantic Spaces for Interpretable Voice Scoring via Zero-Shot Semantic Expansion

medRxiv
Subjective auditory-perceptual evaluation and uninterpretable deep learning models limit the clinical assessment of voice disorders. This study proposes a two-phase zero-shot framework to evaluate voice pathology. First, an Audio Spectrogram Transfor... read more 

Professional Ethics in Dietetics: A Global Document Analysis of Codes of Ethics and Conduct.

Journal of human nutrition and dietetics : the official journal of the British Dietetic Association
BACKGROUND: As dietitians actively engage in sectors beyond healthcare, practitioners are expected to uphold ethical standards that reflect both individual conduct and the profession's social identity. The growing influence of digital technologies, s... read more 

Improving the Identification of Muscular Dystrophies From Their Mimickers Based on MRI Muscle Texture Features Combined With Clinical Biomarkers.

NMR in biomedicine
MRI can detect the most significant pathological changes of muscle-fat replacement and muscle edema in muscular dystrophies. MRI-derived texture analysis is superior to conventional MRI for identifying pathological changes in muscular dystrophies. Fu... read more 

A Dual-Branch Cross-Attention Fusion Network for Multi-Subtype Lung Cancer Classification.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Accurate lung cancer subtyping from CT images is essential for treatment planning. However, manual interpretation suffers from inter-observer variability across morphologically similar subtypes. METHODS: To overcome this limitation, we pr... read more 

From Theory to Practice: Which Biomarkers Are Ready for Predicting Response in Advanced HCC?

Liver international : official journal of the International Association for the Study of the Liver
Systemic therapies for advanced hepatocellular carcinoma (HCC) have expanded considerably with the advent of tyrosine kinase inhibitors, immune checkpoint inhibitors and immunotherapy-anti-angiogenic combinations. However, despite this therapeutic di... read more 

Prediction of Cardiovascular Risk Using Machine Learning Based on Maximal Oxygen Consumption, Physical Fitness, and Anthropometry.

Clinical obesity
Cardiovascular risk factors in adolescence, often persist into adulthood, with low cardiorespiratory fitness representing one of the strongest predictors of future cardiovascular disease. We aimed to classify cardiovascular risk associated with low c... read more 

Comparing Accuracy of Cylindrical and Tapered Implants Using Autonomous Robotic System: A Randomized Controlled Trial.

Clinical implant dentistry and related research
OBJECTIVES: This study aimed to systematically evaluate the effect of implant shape (cylindrical versus tapered implant) on the accuracy of placement using an autonomous robotic system in patients with single-tooth loss. MATERIALS AND METHODS: Forty ... read more 

Machine learning-based risk warning for adolescents' prosocial behavior.

Applied psychology. Health and well-being
Prosocial behavior plays a positive role in promoting adolescents' mental health and behavioral performance. Guided in ecological systems theory and social cognitive theory, this study used machine learning to identify the risk factors of adolescents... read more