AI Medical Compendium

AI assessment of surgical technical skill adaptation across depth levels in simulated tumor resection: a case series study.

Journal of neurosurgery May 1, 2026

OBJECTIVE: Surgical procedures involving varying tissue depths present challenges to surgeons regarding accessibility and precision, restricting instrument movement and increasing the risk of tissue injury. Understanding how experts navigate varying ... read more

MRI-based interpretable deep learning radiomics for predicting treatment response in axial spondyloarthritis.

European journal of radiology May 1, 2026

BACKGROUND: The clinical efficacy of tumor necrosis factor inhibitors (TNFi) in axial spondyloarthritis (axSpA) is limited by high non-response rates, necessitating accurate pre-treatment stratification. This study aimed to develop and validate MRI-b... read more

A systematic review of machine learning approaches to bovine tuberculosis in cattle.

Research in veterinary science May 1, 2026

Bovine tuberculosis (bTB) is a chronic zoonotic disease, caused by Mycobacterium bovis which despite years of eradication attempts, is still prevalent globally. Machine learning (ML), a technology allowing for computerised discovery of patterns in da... read more

Deep Learning-Based Comparison of Knee Minimum Joint Space Width in Patients with Rheumatoid Arthritis and Osteoarthritis Before Total Knee Arthroplasty.

The Journal of rheumatology May 1, 2026

OBJECTIVE: While osteoarthritis (OA) and rheumatoid arthritis (RA) can necessitate total knee arthroplasty (TKA), the mechanisms and radiographic patterns of joint space narrowing (JSN) differ. Deep learning (DL) enables compartment-specific measurem... read more

Impact of Artificial Intelligence-Assisted Endoscopy on Screening for Upper Gastrointestinal Cancer in a Large-Scale Health Screening Facility.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society May 1, 2026

OBJECTIVES: Artificial intelligence (AI)-assisted endoscopy has been developed for the early detection of upper gastrointestinal cancer; however, its clinical effectiveness remains insufficiently evaluated. This study assessed its effectiveness in a ... read more

Artificial Intelligence-Based Analysis of Laparoscopic Imaging for Intraoperative Surgical Decision Support.

Annual review of biomedical engineering May 1, 2026

Across surgical specialties, minimally invasive (laparoscopic) surgery has become a standard technique, as it is associated with less trauma, reduced postoperative complication rates, and quicker recovery for patients as compared with open surgery. D... read more

Physics-Informed Machine Learning in Biomedical Science and Engineering.

Annual review of biomedical engineering May 1, 2026

Physics-informed machine learning (PIML) is emerging as a potentially transformative paradigm for modeling complex biomedical systems by integrating parameterized physical laws with data-driven methods. Here, we review three main classes of PIML fram... read more

Integrating Artificial intelligence within sustainable smart analytical chemistry for analyzing the divisor impact on UV-spectrophotometric efficiency of solifenacin and mirabegron combination.

Scientific reports May 1, 2026

This study examines the influence of divisor selection on the efficacy of advanced analytical spectrophotometric methods that integrate artificial intelligence (AI), green-chemistry principles, and white-analytical-chemistry (WAC) frameworks for phar... read more

EED-Astig: A Multimodal Dataset for Pediatric Astigmatism Severity Prediction.

Scientific data May 1, 2026

Astigmatism is a prevalent refractive error in preschool children and a leading cause of preventable early visual impairment. Conventional screening methods are often unsuitable for young children due to high costs, specialized equipment, and the nee... read more

Hybrid machine learning approach for predicting compressive strength of sustainable concrete incorporating palm oil fuel ash.