Artificial Intelligence Medical Compendium

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

Showing 8,601 to 8,610 of 208,216 articles

Three-dimensional shape cues affect human and artificial recognition systems differently.

PloS one May 29, 2026
Humans and neural networks use shape and texture information differently. While humans weigh shape heavily in their ultimate classification decision, neural networks are more biased towards texture cues. Many tests of shape vs. texture bias have focu... read more 

Towards intelligent railway monitoring: A novel hybrid deep learning architecture for railway obstacle detection.

PloS one May 29, 2026
Railways are among the most efficient modes of transportation, capable of moving large quantities of goods and passengers over long distances at relatively low cost. However, accidents frequently occur due to objects or individuals present on the tra... read more 

A hybrid BiLSTM-transformer-GCN architecture with API fusion for adaptive transportation resource analytics.

PloS one May 29, 2026
Intelligent Transportation Systems (ITS) generate large volumes of heterogeneous spatiotemporal data from connected vehicles, road infrastructure, and external contextual services. Effectively discovering, classifying, and managing these transportati... read more 

Video-based detection of Delirium in hospitalized adults.

PLOS digital health May 29, 2026
Delirium, a dynamic neuropsychiatric condition associated with morbidity and mortality, remains underdiagnosed due to reliance on subjective, intermittent screening tools. Objective and potentially continuous identification is needed to improve clini... read more 

Machine learning models based on magnetic resonance imaging for predicting Lymphovascular Invasion in Invasive Breast Cancer.

PloS one May 29, 2026
OBJECTIVES: Treatment strategies for invasive breast cancer require accurate lymphovascular invasion (LVI) predictions. This study aimed to investigate the feasibility and effectiveness of delta radiomics signature based on dynamic contrast-enhanced ... read more 

A prototype-augmented graph representation learning framework for identifying brain disorder-associated genes and facilitating drug repurposing.

PLoS computational biology May 29, 2026
Many genetic loci were identified as associated with neuropsychiatric disorders and neurodegenerative disorders by Genome-wide association studies (GWAS). How these loci impact these diseases is unclear. Advances in deep-learning approaches and multi... read more 

TransGrid-CostOpt: A hybrid transformer framework for cost prediction and optimization of distribution network assets.

PloS one May 29, 2026
The prediction and optimization of distribution network asset costs is a complex problem in the power industry, involving the optimization of multiple objectives and the response to dynamic demands. Traditional methods often struggle to effectively a... read more 

Compliance with the CONSORT AI Extension in Orthopaedic Randomized Controlled Trials.

The Journal of bone and joint surgery. American volume May 29, 2026
BACKGROUND: The utilization of artificial intelligence (AI), such as machine learning, in health care has risen exponentially, underscoring the necessity of transparency and traceability in the reporting of AI in randomized controlled trials (RCTs) t... read more 

Real-World Data Needs Real-World Doctors: When Automation Advances Faster Than Clinical Workflow.

Journal of participatory medicine May 29, 2026
Health care is entering an era of unprecedented detection. Artificial intelligence (AI)-driven monitors and real-world data streams now identify clinical risks in minutes, promising a future of proactive, earlier intervention. While AI automation is ... read more 

Artificial Intelligence in Oncology: Clinical Applications, Challenges, and Opportunities.

American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting May 29, 2026
Artificial intelligence (AI) is reshaping cancer research and clinical oncology by enabling large-scale analysis of complex biomedical data. Although early AI efforts focused on single-modality tasks such as imaging interpretation or pathology classi... read more 
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