Artificial Intelligence Medical Compendium

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

Showing 4,001 to 4,010 of 203,626 articles

Mitigating Automation Bias in Physician-LLM Diagnostic Reasoning Using Behavioral Nudges: A Randomized Controlled Trial

medRxiv Jun 2, 2026
As large language models (LLMs) enter clinical workflows, automation bias, the uncritical acceptance of automated output, poses a patient-safety risk. Optimal physician-AI collaboration requires trust calibration, matching scrutiny to LLM recommendat... read more 
health informatics

SchistoTrackNet: machine learning for diagnosis of schistosomiasis-associated periportal fibrosis from ultrasound images

medRxiv Jun 2, 2026
Liver fibrosis is a major cause of death in low- and middle-income country contexts. In rural, poor areas of sub-Saharan Africa, schistosomiasis is an underestimated cause of liver fibrosis. Despite the need for increased diagnostic capacity for schi... read more 
infectious diseases

SchistoTrackVideoNet: multilabel deep learning-based classification of schistosomal periportal fibrosis from ultrasound video

medRxiv Jun 2, 2026
Schistosomiasis causes a complex, difficult to diagnose form of liver fibrosis with high rates of life-threatening morbidity in resource-poor settings where there are often no trained sonographers. Protocols for diagnosis of schistosomiasis-related l... read more 
infectious diseases

The AFRIDIARRHEA multimodal fusion framework for Estimating the Burden of Diarrheal Diseases Among Children Under Five in Kenya, Zimbabwe, and Somaliland

medRxiv Jun 2, 2026
Background: Accurate estimation of childhood diarrheal disease burden in Africa remains challenging because of limited surveillance, incomplete mortality data, pathogen-attribution uncertainty, and complex environmental and socioeconomic drivers. Thi... read more 
epidemiology

AI Chatbots as Emerging Tools in Youth Mental Health Help-Seeking: Insights from New Jersey Youth

medRxiv Jun 2, 2026
Youth in the United States are experiencing growing mental health challenges, yet many face barriers to accessing timely, affordable, and stigma-free support. At the same time, artificial intelligence (AI) chatbots have become widely available and ar... read more 
public and global health

Hierarchical refinements of cis-regulatory inputs improve scalable gene expression prediction

bioRxiv Jun 2, 2026
Deciphering the relationships between cis-regulatory elements (CREs) and target gene expression has long been a challenging problem in molecular biology. However, predicting gene expression from hundreds of candidate cis-regulatory elements (cCREs) r... read more 
bioinformatics

Vermeer: Autoregressive generative modeling of microscopy predicts protein localization

bioRxiv Jun 2, 2026
Fluorescent microscopy provides a rich view into how proteins localize within cells, but it remains experimentally infeasible to image human proteins across all of the different factors that can impact localization. We introduce Vermeer, a channel-ad... read more 
cell biology

Multiplex Proteomics of Lewy Body Dementia Reveals Cerebrospinal Fluid Biomarkers of Clinical and Neuropathological Heterogeneity

bioRxiv Jun 2, 2026
Lewy body dementia (LBD), which encompasses Parkinson's disease dementia (PDD) and Dementia with Lewy bodies (DLB), lacks established biofluid markers of its complex clinical and neuropathological heterogeneity. Multiplex proteomic tools, such as the... read more 
systems biology

Predicting problem gambling among online sports and race bettors: Assessing the value of machine learning using behavioural and self-reported data.

Journal of behavioral addictions Jun 2, 2026
BACKGROUND AND AIMS: Online gambling operators collect detailed behavioural data that can identify customers at risk of harmful gambling. However, there is limited clarity on how to optimally achieve this in practice, including which variables are mo... read more 

Benchmarking Deep Learning Methods for Cα Atom Prediction in Cryo-EM Density Maps.

Bioinformatics (Oxford, England) Jun 2, 2026
MOTIVATION: With the advancement of cryo-electron microscopy (cryo-EM) into the atomic resolution era, accurate Cα atom modeling has become essential for macromolecular structure determination. However, existing evaluation systems overly rely on full... read more 
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