Artificial Intelligence Medical Compendium

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

Showing 541 to 550 of 213,137 articles

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

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

Encoding Discordance in the Alzheimer's Disease A/T/N Framework

medRxiv Jul 21, 2026
INTRODUCTION: The biomarker-based amyloid/ tau/ neurodegeneration (A/T/N) framework has become a popular staging method for Alzheimer's disease (AD) research. Previous studies use the framework either as a rule-based or data-driven approach but typic... read more 
health informatics

Developing a Heart Failure Readmission Model From Inpatient Electronic Medical Record Data

medRxiv Jul 21, 2026
Importance: Heart failure readmissions remain common following hospitalization, but accurately identifying which patients will be readmitted after discharge remains challenging. Improved prediction could support targeted transitional care interventio... read more 
cardiovascular medicine

From CHESS to CHECKMATE: A Practical Score for Predicting Shunt Dependency Following Subarachnoid Hemorrhage

medRxiv Jul 21, 2026
Objective: Shunt-dependent hydrocephalus is a common and costly complication of aneurysmal subarachnoid hemorrhage (aSAH), affecting up to 28% of survivors. Existing prediction tools, including the Chronic Hydrocephalus Ensuing from SAH Score (CHESS)... read more 
neurology

The hypoxic response extends lifespan through a bioaminergic and peptidergic neural circuit.

bioRxiv Jul 21, 2026
A coordinated response to stress is crucial for promoting the short- and long-term health of an organism. The perception of stress, frequently through the nervous system, can lead to physiological changes that are fundamental to maintaining homeostas... read more 
physiology

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

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
Popular Topics
Recent Journals