Artificial Intelligence Medical Compendium

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

Showing 46,891 to 46,900 of 224,199 articles

Ryanodine receptor 2 mutations in catecholaminergic polymorphic ventricular tachycardia: From molecular mechanisms to precision medicine.

World journal of cardiology
Catecholaminergic polymorphic ventricular tachycardia is a classic example of the successful transfer of genetic cardiology from gene discovery to implementation of precision medicine. This inherited arrhythmia syndrome induces potentially lethal ven... read more 

Kazakh banknote image dataset.

Data in brief
This paper presents an image dataset of Kazakh banknotes collected for research in computer vision and pattern recognition. The dataset contains photographs of banknotes from seven categories corresponding to the denominations 500, 1000, 2000, 5000, ... read more 

Acute respiratory infection (COVID-19) risk prediction in travelers: A random forest model.

Infectious Disease Modelling
BACKGROUND: Early screening during outbreaks of acute respiratory infections (ARIs) is critical for controlling disease spread among international travelers. However, the massive volume of traveler data generated in a short timeframe makes manual scr... read more 

Data-driven model analysis of the impact of environmental and socioeconomic factors on tuberculosis incidence.

Infectious Disease Modelling
Tuberculosis (TB), a global infectious disease, poses a formidable challenge to Taiwan, China, exacerbated by its aging demographic and the incursion of pathogens from Southeast Asia's high-risk districts. In this study, we analyzed data across 19 ci... read more 

Single-qubit graph classifier with classical feature aggregation.

Neural networks : the official journal of the International Neural Network Society
In this paper, we propose a single-qubit graph classifier that combines classical graph representation with quantum computing. Through a lightweight architecture, it achieves flexible and efficient graph data processing. This model delegates the task... read more 

Precise, fast, and automated gel quantification powered by YOLO11 instance segmentation.

Analytica chimica acta
BACKGROUND: Gel electrophoresis is a cornerstone technique in analytical chemistry and proteomics, yet downstream image analysis remains a bottleneck constrained by manual labor and subjectivity. Traditional profile-based densitometry relies on rigid... read more 

Materiobiology-guided regulation of mesenchymal stromal cell fate for aging-related diseases: From basic parameter design to clinical application.

Bioactive materials
Mesenchymal stromal cells (MSCs) possess potent immunomodulatory, pro-angiogenic, and regenerative capacities, offering broad clinical promise in regenerative medicine. However, clinical application is constrained by low in vivo survival, poor target... read more 

Protocol for a pragmatic trial comparing navigator and automated virtual interventions for guaranteeing adherence to fecal immunochemical testing (NAVIGATE-FIT).

Contemporary clinical trials communications
BACKGROUND: Fecal immunochemical testing (FIT) - a non-invasive colorectal cancer (CRC) screening method offers an opportunity to bridge CRC screening gaps in underserved settings. The effectiveness of FIT as a screening tool, however, is limited by ... read more 

Artificial Intelligence Applications for Automated Data Extraction and Secondary Use of Clinical Information in Uro-oncology: A Systematic Review.

European urology open science
BACKGROUND AND OBJECTIVE: Manual data extraction is a major bottleneck in uro-oncology, limiting research and quality assurance. Although artificial intelligence (AI) offers a scalable solution, the quality and generalizability of current evaluations... read more 

Machine learning models to detect opioid misuse in emergency department patients at triage.

The American journal of emergency medicine
OBJECTIVE: Emergency department (ED) encounters represent valuable opportunities to initiate evidence-based treatments for patients with opioid misuse, but few receive such care. Universal manual screening has been proposed to improve patient identif... read more