Artificial Intelligence Medical Compendium

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

Showing 6,731 to 6,740 of 205,891 articles

Characteristics of Plausible Source Cases Responsible for Recent Mycobacterium tuberculosis Transmission, United States, 2018-2022.

Emerging infectious diseases Jun 1, 2026
Tuberculosis (TB) outbreaks in the United States can cause substantial illness. Using surveillance and genotyping data, we applied a plausible source-case algorithm to identify TB cases reported during 2018-2020 responsible for secondary cases attrib... read more 

Fine-grained evaluation of neighborhood quality in China using street view images and big data technologies.

Scientific reports Jun 1, 2026
With the advent of the post-materialist and post-industrialization era, quality of place has gradually become a hotspot of urban research. But the research has mainly focused on the city or national scale, and there is a lack of exploration on the sm... read more 

'Virtual cells' aim to turn raw data into predictive models of biology.

Nature Jun 1, 2026
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Is it time to 'cap and trade' credits for research-funding proposals?

Nature Jun 1, 2026
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Will AI ruin the social sciences - or revolutionize them?

Nature Jun 1, 2026
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STR-GNN: stability-regularized graph neural networks for suppressing spurious temporal variations in dynamic community detection.

Scientific reports Jun 1, 2026
The study of temporal graphs frequently encounters spurious temporal fluctuations, wherein transient noise, inadequate observations, or ephemeral structural perturbations result in unstable and inconsistent community assignments. In dynamic networks,... 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 

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 

GWAS and genomic prediction of crown rust resistance in the southern US elite oat (Avena sativa L.) germplasm.

The plant genome Jun 1, 2026
Crown rust (CR), caused by Puccinia coronata f. sp. avenae, is a major constraint to oat (Avena sativa L.) production in the southern United States. We dissected the genetic architecture of CR resistance and assessed genomic prediction in 234 winter ... read more 
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