Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 226,183 articles

Chronic Subdural Hematoma in the Super-Aged Society: From a Traumatic Curiosity to a Self-Perpetuating Vascular-Inflammatory Disease.

Neurointervention Sep 17, 2026
Chronic subdural hematoma (cSDH) was traditionally regarded as a simple mechanical consequence of head trauma, treated by burr-hole drainage alone. Recent ultrastructural, histopathological, and clinical evidence has reframed cSDH as a chronic, self-... read more 

Decoding neuro-tumor interactions in pancreatic cancer: mechanisms, immunosuppressive networks and therapeutic opportunities.

Molecular biomedicine Sep 17, 2026
Pancreatic cancer is one of the most lethal digestive system malignancies worldwide, characterized by insidious onset, limited early detection approaches and extremely poor long-term prognosis. It comprises multiple histological subtypes, among which... read more 

Diagnostic accuracy of deep learning models for detecting wrist and distal forearm fractures in pediatric patients: A systematic review and meta-analysis.

Emergency radiology Sep 17, 2026
PURPOSE: Pediatric wrist and distal forearm fractures are common but can be challenging to diagnose due to age-related skeletal differences and complex fracture patterns. Deep learning models may improve fracture detection; however, their diagnostic ... read more 

Imaging biomarkers in functional neurological disorders.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Sep 17, 2026
Recent advances in neuroimaging have significantly reshaped our understanding of functional neurological disorder (FND), shifting the focus from structural damage to dysfunctional brain networks. Building on Charcot's early intuition of a 'functional... read more 

An interpretable machine learning framework for prediction of adsorption energies and generative design of active sites on arbitrary catalysts.

Faraday discussions Sep 17, 2026
We present a highly interpretable and efficient machine learning framework for predictive and generative modeling of adsorption energies on surfaces using subgraph isomorphic decision trees (SIDTs). Extracting graph representations of 344 756 relaxed... read more 

Shallow recurrent decoders for neural and behavioural dynamics.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Sep 17, 2026
Machine learning algorithms are affording new opportunities for building bio-inspired and data-driven models characterizing neural activity. Critical to understanding decision-making and behaviour is quantifying the relationship between the activity ... read more 

Rethinking catalysis: interpretable AI and description of real-world conditions via materials genes.

Faraday discussions Sep 17, 2026
Descriptors link basic physicochemical parameters that characterize the materials and the environment to the catalytic performance. Traditionally, descriptors are rooted in mechanistic understanding of elementary surface reactions gained from surface... read more 

Inpatient morbidity and structural care burden in oropharyngeal carcinoma in Germany: a nationwide cross-institutional EHR analysis using an AI-enabled data network.

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 Sep 17, 2026
PURPOSE: This study aims to characterize hospitalization-level morbidity and care burden associated with oropharyngeal carcinoma (OPC) in Germany and assess the contribution of terminology-based extraction from narrative electronic health record (EHR... read more 

Use of neurostimulation in patients with treatment-resistant depression: current options and future directions.

Expert review of medical devices Sep 17, 2026
INTRODUCTION: Treatment‑resistant depression (TRD) reflects persistent dysfunction across large‑scale neural networks despite adequate pharmacotherapy. Neuromodulation offers mechanistically grounded interventions capable of directly modulating circu... read more 

Unmet needs in functional neurological disorder related to digital healthcare.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Sep 17, 2026
Functional neurological disorder (FND) is a common yet historically neglected condition that presents major unmet needs across diagnosis, treatment and health service delivery. This article examines how digital healthcare could address gaps in severa... read more 
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