Artificial Intelligence Medical Compendium

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

Showing 19,501 to 19,510 of 214,800 articles

Peripheral retinal haemorrhage density on ultra-widefield imaging as a novel biomarker for predicting diabetic retinopathy progression: a 2-year longitudinal study in Asians.

The British journal of ophthalmology May 12, 2026
AIMS: To evaluate whether predominantly peripheral lesions (PPLs) and other imaging biomarkers on ultra-widefield (UWF) photography can predict the progression of diabetic retinopathy (DR) in a multiethnic Asian cohort. METHODS: This was a prospectiv... read more 

Deciphering tumor metabolites: emerging technologies shaping clinical implications.

Trends in cancer May 12, 2026
Metabolites exert pleiotropic effects that govern tumor progression. This review evaluates current platforms and technologies for metabolite detection, alongside emerging strategies for functional research. These innovations have identified novel met... read more 

Awareness, attitudes, and perceived barriers to artificial intelligence adoption in Turkish clinical biochemistry laboratories: an exploratory cross-sectional survey.

Annals of clinical biochemistry May 12, 2026
BACKGROUND: Artificial intelligence (AI) is increasingly recognized as transformative in laboratory medicine, yet adoption lags behind radiology and cardiology. Limited data exist on AI-related attitudes and perceived barriers in Turkish clinical lab... read more 

An end-to-end hybrid deep-learning approach for single-shot wavefront sensing and correction.

Nature communications May 12, 2026
Optical aberrations fundamentally limit the performance of optical systems across scales, from microscopy and astronomy to quantum imaging and ubiquitous technologies such as smartphone cameras, autonomous vehicles, and optical communication networks... read more 

A Dataset for Victim Detection in Search-and-Rescue Operations Using Robot-Mounted UWB-Radar Sensors.

Scientific data May 12, 2026
Search-and-Rescue (SAR) operations rely on sensor platforms to detect victims behind walls, obstacles etc. Conventional sensors (thermal, optical etc.) face limitations in occluded environments, whereas Ultra-Wideband (UWB) radar can penetrate obstac... read more 

Critical evaluation of drug response prediction models with DrEval.

Nature communications May 12, 2026
Large-scale drug sensitivity screens have enabled training drug response prediction models based on cancer cell line omics profiles to advance personalized medicine. While model performances reported in the literature appear promising, successful tra... read more 

Interpreting MALDI imaging data for rare types of ampullary cancer using machine learning.

NPJ systems biology and applications May 12, 2026
Rare tumor diseases are difficult to diagnose and there is a lack of routine diagnostic procedures. Approaches must be found that allow comprehensive identification and evaluation of prognostic relevant target proteins or transcripts. Analyzing rare ... read more 

Dissecting the pathobiology of suspected sepsis through a comparative analysis of endothelial inflammatory and clinical prediction models.

Scientific reports May 12, 2026
Sepsis remains a formidable challenge in critical care, and is characterized by profound circulatory and cellular abnormalities driven by both systemic inflammation and widespread endothelial dysfunction. However, the relative predictive utility of b... read more 

Artificial intelligence for predicting hospital admissions from the emergency department: a prospective, quasi-experimental study.

Nature communications May 12, 2026
The use of certain artificial intelligence (AI) tools may improve hospital operational efficiency, in particular in overcrowded emergency departments (ED). Here, we conduct a prospective, quasi experimental study evaluating an AI model predicting hos... read more 

Everyday Activity Science and Engineering Table Setting Dataset.

Scientific data May 12, 2026
Understanding human everyday activity planning and execution is crucial to inform cognition-enabled robots and systems. In this paper, we describe the design, collection, validation, and dissemination of the Everyday Activity Science and Engineering ... read more 
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