Artificial Intelligence Medical Compendium

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

Showing 53,561 to 53,570 of 225,548 articles

Majority-LCL: Towards Malaria Cell Detection using Label Contrastive Learning and Majority voting Ensembling

bioRxiv Feb 5, 2026
Malaria is a contagious disease caused by Plasmodium, a group of single-celled parasites, and is most commonly transmitted by an infected female Anopheles mosquito. More than 40 percent of the global population is at risk, with approximately 219 mill... read more 
bioinformatics

Scalp microbiome differences in subjects with self-reported hair loss: A quantitative approach to microbial dysbiosis

bioRxiv Feb 5, 2026
Objective: Hair loss is a common issue that affects a large proportion of the population, leading to lower self-confidence and quality of life. Microbial dysbiosis of the scalp has been shown to be associated with several different disorders leading ... read more 
microbiology

Large-scale proteomic profiling identifies distinct inflammatory phenotypes in acute respiratory distress syndrome: a multicentre, prospective cohort study.

The European respiratory journal Feb 5, 2026
BACKGROUND: Host responses during acute respiratory distress syndrome are highly heterogeneous, contributing to inconsistent therapeutic outcomes. Proteome-based phenotyping may identify biologically and clinically distinct phenotypes to guide precis... read more 

Prediction of CSF Intervention in Fetal Ventriculomegaly via Artificial Intelligence-Powered Normative Modeling.

AJNR. American journal of neuroradiology Feb 5, 2026
BACKGROUND AND PURPOSE: Fetal ventriculomegaly (VM) is common and largely benign when isolated. However, it can occasionally progress to hydrocephalus, a more severe condition associated with increased mortality and neurodevelopmental delay that may ... read more 

REFINE2: a simplified simulation tool to help epidemiologists evaluate the suitability and sensitivity of effect estimation within user-specified data.

American journal of epidemiology Feb 5, 2026
Epidemiologists have access to various methods to reduce bias and improve statistical efficiency in effect estimation, from standard multivariable regression to state-of-the-art doubly-robust efficient estimators paired with highly flexible, data-ada... read more 

A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer.

Clinical cancer research : an official journal of the American Association for Cancer Research Feb 4, 2026
PURPOSE: Docetaxel improves survival in metastatic hormone-sensitive prostate cancer (mHSPC) and high-risk localized disease, but benefits vary substantially among patients. Without predictive biomarkers, clinicians cannot identify patients who will ... read more 

A quasi-experimental study comparing a VR, computer-based, and face-to-face Alzheimer's embodiment education scenario, "Beatriz".

The Gerontologist Feb 4, 2026
BACKGROUND AND OBJECTIVES: Effective education on Alzheimer's disease (AD) requires methods fostering empathy, confidence, and knowledge. Artificial intelligence (AI)-enhanced virtual reality (VR) provides immersive experiences potentially superior t... read more 

DMS2F-HAD: A Dual-branch Mamba-based Spatial-Spectral Fusion Network for Hyperspectral Anomaly Detection

arXiv Feb 4, 2026
Hyperspectral anomaly detection (HAD) aims to identify rare and irregular targets in high-dimensional hyperspectral images (HSIs), which are often noisy and unlabelled data. Existing deep learning methods either fail to capture long-range spectral de... read more 
Computer Vision and Pattern Recognition cs.AI

Scalable Explainability-as-a-Service (XaaS) for Edge AI Systems

arXiv Feb 4, 2026
Though Explainable AI (XAI) has made significant advancements, its inclusion in edge and IoT systems is typically ad-hoc and inefficient. Most current methods are "coupled" in such a way that they generate explanations simultaneously with model infer... read more 
Machine Learning cs.AI cs.DC cs.SE

JSynFlow: Japanese Synthesised Flowchart Visual Question Answering Dataset built with Large Language Models

arXiv Feb 4, 2026
Vision and language models (VLMs) are expected to analyse complex documents, such as those containing flowcharts, through a question-answering (QA) interface. The ability to recognise and interpret these flowcharts is in high demand, as they provide ... read more 
Computer Vision and Pattern Recognition cs.AI
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