Artificial Intelligence Medical Compendium

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

Showing 40,081 to 40,090 of 223,737 articles

Diagnostic Accuracy of Artificial Intelligence for Predicting MGMT Promoter Methylation in Glioblastoma Using MR Imaging: A Systematic Review.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Mar 20, 2026
PURPOSE: Glioblastoma (GBM) is an aggressive brain tumor with poor prognosis. O6-methylguanine-DNA-methyltransferase (MGMT) promoter methylation is a critical biomarker for guiding chemotherapy decisions, yet current testing requires invasive tissue ... read more 

Artificial intelligence in mobile health applications: A comprehensive review of its role in diabetes care.

World journal of methodology Mar 20, 2026
This review explores the integration of artificial intelligence (AI) in mobile health applications for diabetes care. It focuses on key AI methodologies - machine learning, deep learning, and natural language processing - and their roles in glucose m... read more 

A Therapeutic Conversational Agent (Solace) for Management of Chronic Pain: Acceptability and Usability Study.

JMIR rehabilitation and assistive technologies Mar 20, 2026
BACKGROUND: Chronic pain is a critical cause of personal suffering and societal concern. However, treatment options remain inadequate, and access to efficacious treatment is limited by geography, economics, and scale. Digital health interventions for... read more 

AsianVehicle: An image dataset of traditional Asian vehicles.

Data in brief Mar 20, 2026
The AsianVehicle dataset introduces a comprehensive image collection of four traditional Bangladeshi vehicle types-Auto Rickshaw, Rickshaw, Rickshaw Van, and Leguna-captured to support research in computer vision and cultural informatics. These vehic... read more 

IGAR: Indonesian government applications review for sentiment analysis dataset.

Data in brief Mar 20, 2026
The government has recently adopted mobile applications to enhance service delivery for citizens. However, these applications often generate mixed reactions among users. Many citizens express their opinions through reviews and ratings on the Google P... read more 

Methodological workflow for assessing heterogeneity in immature organic-rich carbonate reservoirs.

MethodsX Mar 20, 2026
Understanding the vertical and lateral heterogeneity of immature organic-rich carbonate reservoirs is essential for predicting reservoir quality, maintaining wellbore stability, and identifying sweet-spot intervals in unconventional systems. Although... read more 

The impact of emerging technologies on education, roles and career progression of radiation therapists: a delphi consensus based on the ESTRO RTT workshop.

Technical innovations & patient support in radiation oncology Mar 20, 2026
Rapid technological advances in radiation oncology, including artificial intelligence (AI), online adaptive radiotherapy, and advanced imaging, are transforming radiotherapy practice and professional roles. Radiation Therapists (RTTs) must adapt thei... read more 

Industrial manufacturing dataset for cylindrical plunge grinding of martensitic gray cast iron piston rings.

Data in brief Mar 20, 2026
This article presents a dataset generated from a cylindrical plunge grinding process conducted in an industrial piston ring manufacturing environment. The data aim to support studies focused on process capability, variability, robustness, parameter o... read more 

Attitudes toward artificial intelligence among individuals with anxiety, depression, bipolar disorders, and schizophrenia.

Journal of psychiatric research Mar 20, 2026
BACKGROUND: Artificial intelligence (AI) increasingly supports medical diagnosis, interventions, and clinical decision-making. In various domains of human communication, AI systems based on large language models offer effective tools for conducting i... read more 

Letter to the Editor: Nocturnal enteral feeding and mechanical ventilation risk in intensive care unit patients: A deep Learning-Based causal inference study.

Clinical nutrition (Edinburgh, Scotland) Mar 20, 2026
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