Artificial Intelligence Medical Compendium

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

Showing 18,121 to 18,130 of 214,278 articles

Sensory encoding of emotion conveyed by the face and visual context.

Social cognitive and affective neuroscience
Humans rapidly detect and interpret sensory signals that have emotional meaning. The posterior superior temporal sulcus (pSTS) and amygdala are known to be critical for this ability, but their precise contributions remain contentious. Here we investi... read more 

A web-based platform for real-time stewed beef freshness monitoring: Integrating anthocyanin colorimetric film with deep learning.

Food chemistry
This study developed a web-based online monitoring system for assessing the freshness of stewed beef by integrating an intelligent colorimetric film with deep learning. A pH-responsive colorimetric film was fabricated using mulberry anthocyanin extra... read more 

STAGE challenge: Structural-Functional Transition in Glaucoma Assessment.

Medical image analysis
Glaucoma is a leading cause of irreversible yet preventable blindness in working-age populations. Clinical diagnos is currently relies on functional visual field (VF) examinations to evaluate visual function and monitor disease progression, but these... read more 

Development of Machine Learning Models to Predict Candidemia in Hospitalized Adult Patients.

The Kurume medical journal
PURPOSE: We aimed to develop a generalizable machine learning model that leverages electronic medical record (EMR) data to predict candidemia using information available on or before the date of blood culture collection. METHODS: This study included ... read more 

Artificial intelligence for left ventricular strain.

Current opinion in cardiology
PURPOSE OF REVIEW: To review recent advances in artificial intelligence (AI) for left ventricular (LV) strain echocardiography, with emphasis on studies published during the preceding 18 months, and to assess current evidence for measurement performa... read more 

[Research progress in artificial intelligence for the diagnosis and management of diseases in preterm infants].

Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics
Artificial intelligence (AI) technology is developing rapidly in the medical field, particularly showing significant clinical value in the diagnosis and management of diseases in preterm infants. Preterm infants have immature organ development and a ... read more 

Machine learning analysis of physical factors associated with low back pain in male high school soft tennis players: Emphasis on nondominant hip internal rotation.

Journal of bodywork and movement therapies
OBJECTIVE: Low back pain (LBP) is common among adolescent racket sport athletes; however, simultaneous assessment of multiple sport-specific physical factors remains limited. This study aimed to identify physical factors associated with LBP in male h... read more 

Leveraging natural language processing artificial intelligence for automated data extraction of ejection fraction and strain from cardiovascular imaging reports.

American heart journal plus : cardiology research and practice
STUDY OBJECTIVE: To determine the feasibility of using natural language processing (NLP) to extract ejection fraction (EF) and related cardiac imaging parameters for cancer survivors, across multiple imaging modalities, over a 20-year period. DESIGN:... read more 

CRISP: Enhancing ASE Workflows With Advanced Molecular Simulation Post-Processing.

Journal of computational chemistry
Molecular simulations are invaluable for analysing molecular systems, but existing post-processing tools are often limited by a lack of customization, interactivity, and efficiency with large datasets. To address this, we developed CRISP (Comprehensi... read more 

GMMLP: An Efficient Software for Searching the Global-Minimum of Clusters Accelerated by Using the Machine Learning Potentials.

Journal of computational chemistry
Searching for the global-minimum (GM) structure of clusters is a fundamental challenge in computational chemistry, as the potential energy surface (PES) of clusters exhibits a vast number of local minima that increase exponentially with cluster size.... read more