AI Medical Compendium

Artificial intelligence and robotic surgery in emergency gastrointestinal procedures: a review of current evidence and future directions.

Journal of robotic surgery Mar 9, 2026

LRF-UNet: Low-Rank Factorized Convolution Deep-Learning Networks for Visceral Adipose and Muscle Tissue Segmentation in Abdominal Computed Tomography Image.

Journal of imaging informatics in medicine Mar 9, 2026

Quantitative analysis of skeletal muscle (SM) and visceral adipose tissue (VAT) cross-sectional volumes at the third lumbar vertebral level (L3) on abdominal computed tomography (CT) not only assists physicians in evaluating individual metabolic risk... read more

Diagnostic Accuracy of Machine Learning Models in Predicting Functional Outcome of Thrombectomy for Acute Posterior Circulation Artery Occlusion: a Systematic Review and Meta-Analysis.

Clinical neuroradiology Mar 9, 2026

BACKGROUND: Mechanical thrombectomy (MT) is the standard treatment for acute posterior circulation artery occlusion (PCAO), but predicting outcomes remains challenging. Existing prognostic models combine clinical, imaging, and procedural variables bu... read more

Global patterns and predictors of initial treatment in early rheumatoid arthritis: insights from a multinational machine learning study.

Clinical rheumatology Mar 9, 2026

BACKGROUND: Rheumatoid arthritis (RA) treatment guidelines recommend early initiation of disease-modifying antirheumatic drugs (DMARDs), but actual prescribing decisions are influenced by multiple clinical and contextual factors. Machine learning (ML... read more

Comment on "Horizontal nystagmus identification with joint SAM segmentation and time series classification".

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Mar 9, 2026

Applications of artificial intelligence algorithms in ultrasound-based kidney stone detection, classification, prediction, and management: a systematic review.

Abdominal radiology (New York) Mar 9, 2026

BACKGROUND: Kidney stones are a prevalent urological condition with significant global burden, often diagnosed using ultrasound (US) as a first-line modality despite its limitations in sensitivity and operator dependency. Artificial intelligence (AI)... read more

Development and validation of an interpretable MRI-based multimodal fusion model for predicting lymph node metastasis after neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicenter study.

Abdominal radiology (New York) Mar 9, 2026

OBJECTIVE: To develop an interpretable multimodal model that integrates pre-treatment Magnetic resonance imaging (MRI)-based deep learning radiomics (DLR) features with Node-RADS scores to predict Lymph node metastasis (LNM) in locally advanced recta... read more

A two-step scoring model incorporating visceral-to-subcutaneous fat ratio and systemic immunoinflammatory index for predicting cytokine release syndrome severity in patients with gastric cancer receiving Claudin18.2-targeted CAR-T cell therapy.

Cancer immunology, immunotherapy : CII Mar 9, 2026

Cytokine release syndrome (CRS) greatly impacts survival in patients who undergo chimeric antigen receptor (CAR)-T cell therapy, and the identification of its determinants is still challenging. We analysed the impact of systemic immunoinflammatory in... read more

Machine Learning Models for Individualized Osteoradionecrosis Risk Prediction in Head and Neck Cancer.

Journal of medical systems Mar 9, 2026

To develop and validate predictive models for osteoradionecrosis (ORN) after head and neck radiation therapy (RT) using time-to-event data with death as the competing risk, and to quantify the degree of risk overestimation when the competing risk is ... read more

EENet-RLA: An Explainable Prediction Learning Framework for Alzheimer's Disease Classification from EEG Signals.

Brain topography Mar 9, 2026

Alzheimer's disease (AD) is a prevalent neurodegenerative disorder affecting millions worldwide. Electroencephalography (EEG), a non-invasive, cost-effective, and safe diagnostic tool, is widely used for detecting neurological conditions. Existing EE... read more

Artificial Intelligence Medical Compendium