Artificial Intelligence Medical Compendium

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

Showing 28,461 to 28,470 of 219,260 articles

AIGC-driven virtual patients for diabetes: a systematic review.

Diabetes research and clinical practice
This systematic review (SR) examines the application of Artificial Intelligence-Generated Content (AIGC) in developing virtual patients (VPs) for diabetes management. Through structured analysis of current literature, the study demonstrates how AIGC ... read more 

Physiological predictors of respiratory motor plasticity: A machine-learning reappraisal of phrenic motor facilitation.

Respiratory physiology & neurobiology
Acute intermittent hypoxia (AIH)-induced phrenic long-term facilitation (pLTF) is a well-established form of respiratory motor plasticity and a subtype of phrenic motor facilitation (pMF), which also includes pharmacologically induced plasticity. Und... read more 

Development and validation of the IVENUS artificial intelligence model for automated CEAP classification of early-stage chronic venous disease using lower limb photographs.

Journal of vascular surgery. Venous and lymphatic disorders
OBJECTIVES: Chronic venous disease (CVD) is one of the most common vascular disorders, affecting millions of people worldwide. Owing to the variability of clinical symptoms and the subjective nature of their interpretation, diagnosing CVD at an early... read more 

[Prevention in Gastroenterology].

Zeitschrift fur Gastroenterologie
Gastroenterology offers a broad, evidence-based range of preventive measures that goes beyond colorectal cancer screening. As a specialty of systemic relevance, it plays a key role in preventing, detecting, and controlling severe diseases - from colo... read more 

A strategy of CT exam protocol to standardize groups of scanners using automated noise assessment and noise prediction for CT radiotherapy simulation.

Biomedical physics & engineering express
OBJECTIVE: Standardizing clinical CT images enables consistent analysis of image data for target delineation, radiomics, and machine learning in personalized medicine. The process of managing the scanned protocols in various CT scanners for radiother... read more 

Recent Near-Infrared Approaches to Cytochrome-c-Oxidase Monitoring: A Systematic Review of Instruments and Algorithms.

Physics in medicine and biology
Broadband Near-Infrared Spectroscopy (bNIRS) has emerged as a promising technique for non-invasive monitoring of the redox state of cytochrome-c-oxidase (CCO), a key enzyme in cellular energy production. While early work focused on linear approaches ... read more 

IPEM Topical Report: A National Survey of MRI Use for External Beam Radiotherapy Treatment Planning in the UK: 2025 IPEM Survey Results.

Physics in medicine and biology
Magnetic Resonance Imaging (MRI) offers superior soft tissue contrast compared to Computed Tomography (CT), making it highly valuable in external beam radiotherapy (EBRT) planning. However, there are a number of barriers that have limited widespread ... read more 

Computational modeling of antiferroelectrics: Fundamental mechanisms and predictive design.

Journal of physics. Condensed matter : an Institute of Physics journal
Antiferroelectric materials, characterized by their unique antipolar ordering and field‑induced phase transitions, exhibit outstanding performance in energy storage, electrocaloric, and electromechanical applications. Due to the complexity of their m... read more 

Predicting Somatization Risk Among Infectious Disease Disaster Frontline Nurses Using Machine Learning.

Computers, informatics, nursing : CIN
This study aimed to identify key risk factors associated with high-somatization risk among frontline nurses responding to infectious diseases, utilizing a robust machine learning approach. Data were collected from 222 nurses in South Korea, including... read more