Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 233,923 articles

Establishing Diagnosis Models for Autism Spectrum Disorder With Auditory Brainstem Response Using Machine Learning Methods.

Autism research : official journal of the International Society for Autism Research
This study aimed to develop and validate models built using machine learning methods for the diagnosis of autism spectrum disorder (ASD). A total of 851 children with suspected ASD were enrolled. Related features were acquired using the Autism Behavi... read more 

Post-Rasuwa Flash Flood: The Potential Use of Artificial Intelligence in Infectious Disease Surveillance.

Journal of Nepal Health Research Council
Nepal frequently experiences natural disasters, including floods. On 26 August 2026, the Rasuwa flash floods struck Nepal, resulting in hundreds of deaths, and leaving thousands of people missing. Infectious diseases represent an important public hea... read more 

Harnessing Artificial Intelligence to Predict Dental Crowding in Modern Orthodontic Practice: A Comprehensive Review.

The Kaohsiung journal of medical sciences
Dental crowding is fundamental to orthodontic diagnosis and treatment planning, yet what constitutes "crowding" remains surprisingly heterogeneous. Space analysis quantifies tooth size-arch length discrepancy, irregularity indices characterize alignm... read more 

Polymer-based Vaginal Insert Systems: Engineering Controlled Drug Delivery for Women's Health.

AAPS PharmSciTech
Polymer-based vaginal inserts have emerged as a promising approach for localized and systemic drug delivery, demonstrating improved therapeutic efficacy, prolonged drug residence, controlled release and enhanced patient compliance compared to convent... read more 

Child and Adolescent Mental Health Misinformation on TikTok: Cross-Sectional Mixed Methods Study.

JMIR formative research
BACKGROUND: TikTok is an important source of mental health information for children, adolescents, and young adults, but the accuracy of psychoeducational content remains uncertain. Misleading information may be particularly consequential for younger ... read more 

Deep learning-enabled assessment of right ventricular size and function is associated with cardiovascular outcomes.

Nature cardiovascular research
Right ventricular (RV) size and function inform prognosis in many cardiovascular diseases, but assessment by two-dimensional transthoracic echocardiography is challenging. Here we show that a deep learning model, Dimensional Reconstruction of Imaging... read more 

Proprietary platform artificial intelligence-based segmentation of surgical videos facilitates review and rating of operative recordings.

Surgical endoscopy
BACKGROUND: Implementation of artificial intelligence (AI) in surgery may revolutionize assessment of operative techniques through video capture, auto-segmentation and auto-analysis. The aim of this study was to utilize recordings of a highly standar... read more 

Leveraging AI and Machine Vision in Telephysiotherapy for Promoting Physical Activity and Reducing Sedentary Behavior: Scoping Review.

JMIR rehabilitation and assistive technologies
BACKGROUND: Globally, sedentary behavior is a leading risk factor for noncommunicable diseases and premature death. Although telerehabilitation has emerged as a promising method to increase access to physical therapy, the potential of artificial inte... read more 

Not all prolific letter writers are alike.

World journal of surgical oncology
Concerns have recently been raised that AI-assisted "letter-bombing" may distort medical publishing. Although I share these concerns, prolific Letter writing can arise for legitimate reasons. Using my own publication history as an example, I illustra... read more 

Atrial cardiomyopathy: from knowledge gaps to clinical impact : The role of the EmbRACE Network.

Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation
BACKGROUND: Atrial cardiomyopathy (AtCM) is increasingly recognised as an underlying atrial substrate contributing to atrial fibrillation (AF), heart failure (HF), and cardio-embolic stroke. However, diagnostic criteria, disease thresholds, and targe... read more