Artificial Intelligence Medical Compendium

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

Showing 36,281 to 36,290 of 223,137 articles

Artificial intelligence-powered liquid biopsy in cancer: a paradigm shift in cancer detection and personalized care.

Cancer cell international Apr 2, 2026
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EHR-derived cognitive load is associated with guideline-concordant statin initiation in primary care.

BMC medical informatics and decision making Apr 2, 2026
INTRODUCTION: Linking electronic health record (EHR) use to care quality may offer insights into potential interventions improving guideline adherence and closing care gaps. We examine how EHR metadata can measure cognitive load in primary care provi... read more 

Second-to-fourth digit (2D:4D) ratio and criminal involvement in schizophrenia.

BMC psychiatry Apr 2, 2026
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Application of contrast-enhanced CT-based radiomics with machine learning to predict WHO/ISUP grading in clear cell renal cell carcinoma.

BMC cancer Apr 2, 2026
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DSPONVNet: a multimodal deep learning model integrating intraoperative monitoring and clinical features for predicting postoperative nausea and vomiting risk.

BMC medical research methodology Apr 2, 2026
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Artificial intelligence-driven cluster analysis for identifying clinical phenotypes in suspected sepsis patients in the emergency department.

BMC emergency medicine Apr 2, 2026
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Reverse AIEE/ACQ Engineering in a Carbon Dot-Quantum Dot Ratiometric Nanosensor: Machine-Learning-Driven Quantitative and Recognition Detection of Biogenic Amines for Food Freshness Monitoring.

Analytical chemistry Apr 2, 2026
Simultaneous profiling of biogenic amines, including spermine, putrescine, cadaverine, histamine, and tyramine, is crucial for assessing food freshness, tracking spoilage progression, and preventing associated foodborne illnesses and adverse health e... read more 

Forecasting influenza activity based on internet retrieval behavior and meteorological data in four megacities of China.

BMC infectious diseases Apr 2, 2026
BACKGROUND: Accurate and timely early warning of seasonal influenza epidemics continues to pose a critical public health challenge. Innovative methodologies leveraging network data sources, such as internet search queries, serve as a valuable complem... read more 

EventHub: Data Factory for Generalizable Event-Based Stereo Networks without Active Sensors

arXiv Apr 2, 2026
We propose EventHub, a novel framework for training deep-event stereo networks without ground truth annotations from costly active sensors, relying instead on standard color images. From these images, we derive either proxy annotations and proxy even... read more 
Computer Vision and Pattern Recognition

Generative World Renderer

arXiv Apr 2, 2026
Scaling generative inverse and forward rendering to real-world scenarios is bottlenecked by the limited realism and temporal coherence of existing synthetic datasets. To bridge this persistent domain gap, we introduce a large-scale, dynamic dataset c... read more 
Computer Vision and Pattern Recognition
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