Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 219,064 articles

Automated language impairment screening in acute stroke using connected speech

medRxiv Aug 17, 2026
Connected speech is essential for everyday communication, but clinical constraints and patient fatigue limit detailed evaluation in acute stroke (<1-week post-stroke). Bedside assessments may sample discourse but rarely quantify language impairment (... read more 
cardiovascular medicine

Prospective Validation of a Deep Learning Model to Detect Structural Heart Disease from Apple Watch ECGs: The WATCH-SHD Study

medRxiv Aug 17, 2026
Importance: Consumer wearables such as the Apple Watch can record single-lead electrocardiograms (ECGs) but are used mainly to detect rhythm disorders. Artificial intelligence-enhanced ECG (AI-ECG) could extend these real-world recordings for detecti... read more 
cardiovascular medicine

Predicting Worry Mental States using Long Short-Term Memory (LSTM) Recurrent Deep Neural Networks

medRxiv Aug 17, 2026
Severe worry is a transdiagnostic syndrome associated with significant morbidity in older adults. In this study, we aim to infer worry-related mental states though brain activity timeseries. We acquired fMRI on two cohorts (N=116 and N=88), using an ... read more 
psychiatry and clinical psychology

Performance of an Ambient Generative AI Documentation Tool in a Linguistically Diverse Clinical Setting

medRxiv Aug 17, 2026
Ambient artificial intelligence scribes are being increasingly used in healthcare to improve efficiency and reduce provider clinical documentation burden, yet their performance across linguistically diverse patient populations is not well characteriz... read more 
health systems and quality improvement

Deep Learning-Based Classification of Bone Lesions on CT Scans of Metastatic Spine Disease Patients: A 3D-Convolutional Neural Network Approach

medRxiv Aug 17, 2026
Purpose: Clinical assessment of vertebral lesion quality (osteolytic, osteoblastic, mixed) remains subjective, with limited interobserver reliability. This study evaluated a novel application of 3D convolutional neural networks (3D-CNNs) for classify... read more 
oncology

Are automated documentation-error judges fit to measure ambient AI scribes? A pre-registered, blinded human-validation study

medRxiv Aug 17, 2026
Objectives Safety claims for ambient artificial intelligence (AI) scribes rest on automated judges that detect documentation errors and grade clinical risk. Expert reviewers are under-sensitive and disagree with one another, so no gold standard exist... read more 
health informatics

Methylation-driven Cancer Genes and Methylation Profiling in Glioma: A Comparative Study between East Asian and non-Hispanic White Populations

medRxiv Aug 17, 2026
Global incidence and outcomes of glioma have been found to vary significantly by region, however research into the disease continues to lack diversity. Here we investigated epigenetic patterns in glioma subtypes from cohorts collected from China and ... read more 
genetic and genomic medicine

REFINE: Closing the Loop Between Large Language Models and Symbolic Rules in Clinical NLP

medRxiv Aug 17, 2026
Symbolic clinical natural language processing (NLP) systems remain widely used for extracting clinical concepts from electronic health record (EHR) narratives, but maintaining rule resources requires extensive manual error analysis and rule refinemen... read more 
health informatics

Development and Internal Validation of a Large Language Model Pipeline for Multi-Label Classification of Patient Portal Messages

medRxiv Aug 17, 2026
Objectives: Characterizing patient portal message content at scale can help target efforts to manage administrative work. We developed and validated a large language model (LLM) pipeline for multi-label classification of messages using an expert-deri... read more 
health informatics

Patient-Specific Non-Invasive Epileptogenic Zone Localization via High-Resolution Time-Frequency Representations and CNN Deep Learning.

IEEE transactions on bio-medical engineering Aug 17, 2026
Stereoelectroencephalography (SEEG)-guided radiofrequency thermocoagulation is the mainstream treatment for drug-resistant epilepsy (DRE), yet non-invasive patient-specific localization of potential epileptogenic zone (EZ) prior to SEEG electrode imp... read more 
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