Artificial Intelligence Medical Compendium

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

Showing 20,231 to 20,240 of 215,962 articles

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 

Efficient deep learning models for oral squamous cell carcinoma classification in histopathological images.

Scientific reports May 12, 2026
Recent advances in deep learning have significantly improved the accuracy and efficiency of disease classification in digital pathology. Early diagnosis and precise classification of histopathological images are crucial for enabling timely treatment ... read more 

CT-based radiomic markers to predict late-onset seizures after traumatic brain injury.

Scientific reports May 12, 2026
Post-traumatic epilepsy (PTE) is a major long-term complication of traumatic brain injury (TBI), but early risk prediction remains imprecise. Radiomics enables quantitative analysis of subtle abnormalities on non-contrast head CT (NCCT) that are not ... read more 

Anatomically guided latent diffusion for high-resolution 3D chest CT synthesis.

Scientific reports May 12, 2026
Accurate and automated analysis of chest Computed Tomography (CT) scans is critical for early detection and risk stratification of lung cancer, the leading cause of cancer-related mortality worldwide. However, the development of robust deep learning ... read more 

An intelligent context-aware facial emotion recognition system for hearing-impaired individuals using large language models and neural network-based feature fusion.

Scientific reports May 12, 2026
Facial emotion recognition (FER) plays a vital role in understanding human behavior and communications, with applications in human-computer interaction, surveillance, healthcare, and multimedia content analysis. Emotion recognition is challenging as ... read more 
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