Artificial Intelligence Medical Compendium

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

Showing 45,571 to 45,580 of 224,055 articles

Ecological and socioeconomic factors associated with globally reported tick-borne viruses.

Communications medicine Mar 2, 2026
BACKGROUND: Public health resources are often allocated based on reported disease cases. However, for under-recognized infectious diseases such as tick-borne viruses, risk assessments should also account for ecological and socioeconomic factors that ... read more 

Application of LSTM-CNN in skiing action recognition under artificial intelligence technology.

Scientific reports Mar 2, 2026
This study proposes a deep learning model integrated with visual perception, aiming to enhance the accuracy of automatic skiing action recognition in complex scenarios. These scenarios include background interference from trees and snow mounds, light... read more 

Multimodal AI-based 28-day mortality prediction of pneumonia patients at ED discharge: a multicenter study.

Scientific reports Mar 2, 2026
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Hierarchical multi-attention neural networks for sensor fault diagnosis and mitigation in digital twins.

Scientific reports Mar 2, 2026
Digital twin technology has emerged as a quintessential facilitator of industrial digitization within the paradigm of Industry 5.0. Nonetheless, its effectiveness is inherently dependent on the establishment of robust sensor fault management within e... read more 

Enhancing depression diagnosis with augmented brain signal driven decorrelated graph neural networks.

Communications medicine Mar 2, 2026
BACKGROUND: Major Depressive Disorder (MDD) is a leading global neuropsychiatric disorder, requiring precise diagnosis for effective intervention. Developing accurate diagnostic models for MDD remains a critical but challenging task. This study intro... read more 

Charge-triggered switching mechanism in selenium selector enabling ultralow leakage current.

Nature materials Mar 2, 2026
The rapid growth of artificial intelligence models has outpaced the capabilities of current dynamic random-access memory/flash storage systems in speed, density and energy efficiency. Three-dimensional phase-change memory offers a scalable solution, ... read more 

Confounding factors and biases abound when predicting molecular biomarkers from histological images.

Nature biomedical engineering Mar 2, 2026
Deep learning models that infer clinically relevant biomarker status from tissue images are being explored as rapid and low-cost alternatives to molecular testing. Here we show, through statistical analysis across multiple cancer types, datasets and ... read more 

A test-time clinically adaptive framework for detecting multiple fundus diseases harnessing ophthalmic foundation models.

NPJ digital medicine Mar 2, 2026
Fundus diseases are leading causes of global vision impairment, often presenting with complex comorbidities that challenge conventional artificial intelligence models. While ophthalmic foundation models (FMs) offer promising capabilities, their clini... read more 

Joint attention in autism: A narrative review of assessment techniques from behavioral observation to artificial intelligence.

Behavior research methods Mar 2, 2026
Joint attention (JA), the shared focus between two individuals on an object or event, plays a pivotal role in social communication, cognitive development, and language acquisition during early childhood. However, JA is frequently impaired in children... read more 

Integrated multi-omics and machine learning prioritize key immune genes for multiple sclerosis risk prediction.

Mammalian genome : official journal of the International Mammalian Genome Society Mar 2, 2026
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