Artificial Intelligence Medical Compendium

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

Showing 27,741 to 27,750 of 218,939 articles

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

The Lancet. Digital health Apr 22, 2026
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 

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

Academic radiology Apr 22, 2026
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 

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 Apr 22, 2026
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 

AI in medicine: Safeguarding human critical thinking and imagination (Comment on: Artificial intelligence and plastic surgery: Between innovation and responsibility).

Annales de chirurgie plastique et esthetique Apr 22, 2026
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Fusing imaging and metabolic modeling via multimodal deep learning in ovarian cancer.

Cell systems Apr 22, 2026
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 

Recurrent neural chemical reaction networks that approximate arbitrary dynamics.

Cell systems Apr 22, 2026
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 

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

Cell systems Apr 22, 2026
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 

Factors that contribute to collision avoidance behaviours involving a single pedestrian versus a group of pedestrians in a natural environment.

Human movement science Apr 22, 2026
Along busy walking paths many pedestrians walk in a group, thus challenging the collision avoidance behaviours of both the group and individual pedestrians. Here we sought to determine what factors contribute to these behaviours in a real-world envir... read more 

A multimodal fNIRS-based machine learning model for symptom assessment and treatment response prediction in schizophrenia.

Schizophrenia research Apr 22, 2026
OBJECTIVE: Predicting early symptom severity and treatment response in schizophrenia is crucial for selecting optimal therapeutic strategies. This study aimed to develop machine learning (ML) models utilizing functional near-infrared spectroscopy (fN... read more 

Urinary Proteomics: Biological Foundations, Analytical Frameworks, and Clinical Translation Across Human Diseases.

Genomics, proteomics & bioinformatics Apr 22, 2026
Urinary proteomics has swiftly emerged as a formidable tool for the identification of non-invasive biomarkers and the surveillance of diseases. The progression in high-resolution mass spectrometry and data-independent acquisition techniques has facil... read more 
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