Artificial Intelligence Medical Compendium

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

Showing 4,201 to 4,210 of 203,842 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

Quantifying and Predicting the Difficulty of Multiple Sequence Alignment with AlDiScore

bioRxiv Jun 2, 2026
Multiple Sequence Alignment (MSA) constitutes an important and frequent operation in molecular sequence data analysis. There exist numerous tools, algorithms, and criteria to infer an MSA. This plethora of available approaches to MSA may induced an e... read more 
bioinformatics

Real-time artificial intelligence prediction of peptide characteristics and MSFragger search improves multiplexed quantification of non-canonical HLA presented peptides in clear cell renal cell carcinoma.

bioRxiv Jun 2, 2026
Non-canonical HLA-presented peptides are promising therapeutic targets, but their low abundance makes them difficult to reproducibly identify and quantify, particularly in multiplexed immunopeptidomics workflows. Here we present MIRA-MS (Model-Inform... read more 
cancer biology

ATI_Box: A Simple tool for convolutional neural network-based image semantic segmentation

bioRxiv Jun 2, 2026
Quantitative analysis of microscopic images has become a standard in basic biological and biomedical research. Deep machine learning provided a powerful tool facilitating this process. However, practical adoption of deep machine learning to image ana... read more 
bioinformatics

Combining transcriptomic resolutions and machine learning strategies uncovers new OXPHOS genes in Caenorhabditis elegans

bioRxiv Jun 2, 2026
Assigning functions to genes remains a major challenge in biology, as a large fraction of genes remain unannotated despite the availability of complete genomes. Oxidative phosphorylation (OXPHOS), the primary source of ATP in eukaryotes, exemplifies ... read more 
bioinformatics

PepForge: Hierarchical HELM-Based Peptide Generation

bioRxiv Jun 2, 2026
Peptides carrying special connections such as macrocyclizations and various other structural modifications constitute a major class among peptide therapeutics, yet their chemical space remains largely inaccessible to computational generation methods.... read more 
bioinformatics
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