Artificial Intelligence Medical Compendium

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

Showing 191 to 200 of 212,780 articles

Context-dependent facial-expression patterns during affective film viewing in patients with bipolar depression

medRxiv Jul 21, 2026
Background: Emotion dysregulation is a core feature of bipolar disorder (BD), yet its behavioral expression during depressive episodes, and potential differences between its types, BD-I and BD-II, remain unclear. This study used automated facial-expr... read more 
psychiatry and clinical psychology

Effects of AI-driven Lifestyle Intervention on Psychological Well-Being and Body Image Among Young Adults In Malaysia

medRxiv Jul 21, 2026
Background: University students experience substantial psychological well-being and body-image concerns, while scalable, personalized digital support remains underexamined in Malaysia. Artificial intelligence chatbots may deliver repeated lifestyle g... read more 
nutrition

Development and Validation of Machine Learning Models for Predicting 13 or More Sections in Mohs Micrographic Surgery

medRxiv Jul 21, 2026
Background: Cases requiring 13 or more tissue sections in Mohs micrographic surgery (MMS) demand extended operative time, additional resources, and often specialised closure techniques. Pre-operative identification of such cases would improve surgica... read more 
dermatology

Composite Artificial Intelligence-Enabled Electrocardiogram for Detection and Prediction of Structural Heart Disease

medRxiv Jul 21, 2026
Background Structural heart disease (SHD) drives heart failure and cardiovascular mortality but remains underdiagnosed, and echocardiography is limited as a population-level screening tool. Objectives We evaluated whether a composite artificial intel... read more 
cardiovascular medicine

Death in People with Down syndrome: Mortality statistics and novel predictors in US Medicaid and Medicare enrolled adults.

medRxiv Jul 20, 2026
People with Down syndrome have higher age-specific mortality rates compared to the general population as well as peers with other intellectual and developmental disabilities. While a large proportion of mortality is attributable to Alzheimers disease... read more 
epidemiology

Machine learning models to improve targeting of blood culture testing

medRxiv Jul 20, 2026
Background Bloodstream infections are a major cause of mortality, yet the primary testing method, blood cultures, have low positivity (<10%) and turnaround times of 24 - 48 hours. Many are taken from patients at low risk of infection, while some bloo... read more 
infectious diseases

What Do Persistent Misclassifications Tell Us About Alzheimer's Disease Detection using Structural MRI?

medRxiv Jul 20, 2026
Deep learning classifiers applied to structural MRI (sMRI) have achieved high performance in detecting Alzheimer's Disease (AD), yet systematic investigation of their failure modes remains limited. In this study, we trained two deep learning architec... read more 
neurology

MedZone Embedder: a framework for representation learning of Japanese secondary medical care areas from a national ICU registry, characterizing intensive care provision structure and regional vulnerability

medRxiv Jul 20, 2026
Background: In Japan, acute inpatient care is divided into approximately 335 secondary medical care areas, which serve as the basic units for planning healthcare delivery systems under the 8th National Health Care Plan. While comparisons between regi... read more 
health informatics

FloREN: Decoding Immune Regulatory Networks through Interpretable Graph Transformer Patient Representations.

bioRxiv Jul 20, 2026
Single-cell RNA sequencing (scRNA-seq) enables detailed characterization of cellular heterogeneity, yet understanding the full cellular and regulatory environment of complex tissues remains challenging. In the era of large single-cell atlases, this t... read more 
bioinformatics

From Hodgkin-Huxley to Pretrained Neural Inference AI

bioRxiv Jul 20, 2026
High-density probes record from thousands of neurons simultaneously, yet resolving single-neuron identity remains an ill-posed inverse problem. While detailed simulations precisely characterize the biophysical forward process, their utility for inter... read more 
neuroscience
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