Artificial Intelligence Medical Compendium

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

Showing 24,901 to 24,910 of 217,472 articles

Comment on "Predicting mental health-related sick leave using Stress Check data: Development and validation of a workplace risk model".

Journal of occupational health Apr 28, 2026
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OmicsMLMentor: A Web Application for Guided Machine Learning Analysis of Omics Data.

Journal of proteome research Apr 28, 2026
Expression-based omics technologies (e.g., proteomics, metabolomics, transcriptomics, etc.) increasingly rely on supervised and unsupervised machine learning (ML) models to find key biomolecules distinguishing conditions, identify natural groupings i... read more 

"Do as I say and not as I do: Surgical critical care program directors shape the future" authors' response to the Letter to the Editor entitled: "Artificial intelligence literacy and infectious diseases competency: Essential considerations for future revisions of the surgical critical care curriculum".

The journal of trauma and acute care surgery Apr 28, 2026
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Assessment of Large Language Models for Tracheostomy Care in Pediatrics: ChatGPT vs Claude.

Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners Apr 28, 2026
INTRODUCTION: This study aimed to evaluate the accuracy, completeness, clarity, and relevance of responses provided by two freely available large language models (LLMs)-ChatGPT-4.o and Claude 4.0 Sonnet-to caregiver-focused questions about pediatric ... read more 

Machine learning-based disentanglement of meteorological and anthropogenic drivers of ozone pollution in the Chengdu-Chongqing urban agglomeration.

Environmental monitoring and assessment Apr 28, 2026
To clarify the relative contributions of meteorological conditions and anthropogenic activities to ozone (O3) pollution in the Chengdu-Chongqing urban agglomeration, this study systematically quantified their impacts on the daily maximum 8-h average ... read more 

Beyond binary classification: a pilot study of imaging-derived glioma severity modeling using T1-weighted and diffusion MRI radiomics.

Magma (New York, N.Y.) Apr 28, 2026
OBJECTIVE: Gliomas are heterogeneous brain tumors with variable biology and treatment response. Accurate, non-invasive assessment of tumor aggressiveness is essential for prognosis and treatment planning. Conventional machine learning (ML) approaches... read more 

Application of artificial intelligence in paediatric oncology imaging.

Pediatric radiology Apr 28, 2026
Paediatric oncology relies heavily on medical imaging for diagnosis, treatment planning, and longitudinal disease monitoring. Yet the field faces unique challenges, including a limited number of patients, diverse anatomy, motion artefacts, and a glob... read more 

Integrating single-cell and bulk transcriptomes to reveal prognostic and immunological features of ecDNA-related genes in osteosarcoma.

Cancer immunology, immunotherapy : CII Apr 28, 2026
BACKGROUND: The role of extrachromosomal DNA (ecDNA)-related genes in osteosarcoma remains largely unexplored. The aim of this study is to investigate the association between ecDNA-related genes and prognosis and tumor microenvironment (TME) in osteo... read more 

Comment on "Development of a machine learning model for predicting urosepsis after ureteroscopic lithotripsy".

Urolithiasis Apr 28, 2026
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Heat stress alters Drosophila locomotor behaviors in a sex-specific manner: a machine learning analysis.

International journal of biometeorology Apr 28, 2026
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