Artificial Intelligence Medical Compendium

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

Showing 27,931 to 27,940 of 219,064 articles

Comprehensive RNA-binding protein analyses and deep learning uncover genetic constraints and disease associations in protein-RNA interfaces.

Cell systems
RNA-binding proteins (RBPs) orchestrate post-transcriptional processes, including splicing, cleavage and polyadenylation, and translation. Our updated RBP resource integrates data from 92 additional RBPs (286 in total) profiled by enhanced CLIP (eCLI... read more 

Recurrent neural chemical reaction networks that approximate arbitrary dynamics.

Cell systems
Many important phenomena in biochemistry and biology exploit dynamical features such as multi-stability, oscillations, and chaos. The construction of novel chemical systems with such rich dynamics is a challenging problem central to the fields of syn... read more 

Fusing imaging and metabolic modeling via multimodal deep learning in ovarian cancer.

Cell systems
Integrating genotype (e.g., transcriptomics), phenotype (e.g., imaging), and tumor microenvironment (e.g., metabolomics) is crucial to elucidating the molecular basis of ovarian cancer. However, there is a lack of robust multimodal integration method... read more 

Wearable Cardiac Devices as Windows Into Physiological Decline: A Review of Digital Biomarkers in the Prevention, Detection, and Management of Cardiogeriatric Frailty.

Heart, lung & circulation
In patients with cardiovascular disease (CVD), frailty is a significant problem due to its association with morbidity and mortality, procedural risk, and reduced tolerance to the pharmacological treatment of CVD. However, frailty is a conceptual enti... read more 

Bolstering the Performance of Breast Radiologists with AI-CAD in Mammography: A Multireader Study.

Academic radiology
RATIONALE AND OBJECTIVES: Breast cancer is the most common malignancy among females globally and across most Asian countries. In 2022, Asia's age-standardized incidence rate (ASIR) was 34.3/100,000, with age-standardized mortality rate (ASMR) of 10.5... read more 

Detection of young-onset type 2 diabetes using deep learning across primary and secondary care: a nationwide, retrospective cohort study.

The Lancet. Digital health
BACKGROUND: Once considered a disease observed in older adults, type 2 diabetes is now increasingly seen in youth and adolescence. Young-onset (<40 years of age) type 2 diabetes progresses more rapidly than late-onset disease, but remains frequently ... read more 

LLM predicts human behavior: A BERT-based approach for conscientiousness personality trait detection from online content.

Acta psychologica
Advancements in deep learning have significantly transformed the Natural Language Processing (NLP) domain, enabling machines to understand and analyze human language with remarkable accuracy. One of the emerging applications of NLP is personality pre... read more 

Intelligent monitoring of coastal outfalls via multi-source remote sensing image fusion.

Marine pollution bulletin
Coastal outfalls are major point sources of pollutants entering the marine environment, severely threatening coastal water quality and marine ecosystems. Effective monitoring of these outfalls is therefore essential for pollution control and ecosyste... read more 

The future of pediatric airway management.

Current opinion in anaesthesiology
PURPOSE OF REVIEW: This review examines recent advances in pediatric airway management, including emerging technologies, updated guidelines, and innovative strategies for improving safety across diverse clinical settings. We address the unique challe... read more