Artificial Intelligence Medical Compendium

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

Showing 7,931 to 7,940 of 207,819 articles

Integrating MIKE model simulations with CNNs for rapid and accurate urban flood prediction.

iScience Jun 1, 2026
Rapid prediction of urban pluvial flooding is an important tool for mitigating current urban flooding disasters. This paper constructs a fast prediction model for urban flooding based on a machine learning approach. Firstly, MIKE numerical model simu... read more 

Mental health in early pregnancy: Interplay of objectively measured lifestyles, gut microbiota, and metabolomics.

iScience Jun 1, 2026
Prenatal anxiety symptoms (AS) and depression symptoms (DS) in early pregnancy substantially impact maternal-infant health, but their pathophysiological mechanisms remain unclear. We conducted a multimodal assessment of 161 early-pregnant women. DS e... read more 

Artificial intelligence in urology training Enhancing annotation, feedback, and evaluation in robotic, laparoscopic, and endoscopic surgery.

Canadian Urological Association journal = Journal de l'Association des urologues du Canada Jun 1, 2026
INTRODUCTION: The integration of artificial intelligence (AI) into surgical training is rapidly evolving, driven by advancements in machine learning. This review aimed to map the current landscape of AI's educational applications in urology. METHODS:... read more 

Automated vs. manual segmentation for small renal mass imaging.

Canadian Urological Association journal = Journal de l'Association des urologues du Canada Jun 1, 2026
INTRODUCTION: Automated segmentation using artificial intelligence (AI) has the potential to rapidly perform three-dimensional (3D) segmentation of small renal masses (SRM). The objective of this study was to test for clinically and statistically sig... read more 

Systematic review of foundation models for structured electronic health records.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2026
PURPOSE: Foundation models pretrained on structured electronic health record (EHR) data promise improved predictive performance, sample efficiency and resilience to distribution shifts. However, model design, scale and use remain unclear. Objectives ... read more 

Mesoscopic cortical activities associated with pupil-linked perceptions inferred via explainable machine learning

bioRxiv Jun 1, 2026
Pupil dilation reflects arousal-related neural processes and is closely linked to sensory perception, attention, and cognitive state, but the mesoscopic cortical dynamics that accompany stimulus-evoked dilation remain unclear. Here, we combined simul... read more 
neuroscience

Trustworthy ML/AI for Aging Clocks: Preventing Systematic Prediction Bias in Biological Age Estimation

bioRxiv Jun 1, 2026
Machine learning (ML)- and artificial intelligence (AI)-based aging clocks are increasingly used to quantify physiological and molecular aging from omics and medical imaging data as distinct from chronological age. Here, we characterize a fundamental... read more 
bioinformatics

Neural networks learn forward dynamics when freed from numerical integration

bioRxiv Jun 1, 2026
Seamless interaction between humans and machines requires interfaces that remain robust to the variability inherent in biological signals and physical environments. Advanced human-machine interfaces (HMIs) increasingly rely on machine learning to pre... read more 
neuroscience

A Foundation Model for the Cancer Genome

bioRxiv Jun 1, 2026
Cancer is a disease of the genome, in which somatic mutations and copy-number alterations determine tumour identity, clinical behaviour, and response to therapy. Consortium-scale sequencing has profiled hundreds of thousands of tumours, yet clinical ... read more 
bioinformatics

Ultra-efficient High Resolution 3D Reconstruction of Spatial Omics Data with Neural Transcriptomic Field

bioRxiv Jun 1, 2026
Biological tissues are inherently three-dimensional (3D) ecosystems where spatial architecture dictates cellular function. While spatial omics technologies have revolutionized molecular profiling, they are largely restricted to isolated two-dimension... read more 
bioinformatics
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