Artificial Intelligence Medical Compendium

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

Showing 72,481 to 72,490 of 235,116 articles

Colorectal mucosal exposure area assessment using artificial intelligence: a multicenter prospective observational study.

Endoscopy Sep 3, 2025
This study proposed a new quality control indicator for colonoscopy, the cumulative colorectal mucosal exposure area (CCMEA), to assess mucosal exposure, constructed a CCMEA system based on deep learning, and validated the indicator in a multicenter ... read more 

Accurately Predicting Cell Type Abundance from Spatial Histology Image Through HPCell.

Interdisciplinary sciences, computational life sciences Sep 3, 2025
Recent advancements in spatial transcriptomics (ST) have revolutionized our ability to simultaneously profile gene expression, spatial location, and tissue morphology, enabling the precise mapping of cell types and signaling pathways within their nat... read more 

MRI-based deep learning radiomics in predicting histological differentiation of oropharyngeal cancer: a multicenter cohort study.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico Sep 3, 2025
BACKGROUND: The primary aim of this research was to create and rigorously assess a deep learning radiomics (DLR) framework utilizing magnetic resonance imaging (MRI) to forecast the histological differentiation grades of oropharyngeal cancer. METHODS... read more 

Application of artificial intelligence for the prediction of amyloidoses.

Neural regeneration research Sep 3, 2025
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Interaction of artificial intelligence, mental disorders, and diverse data modalities: Potential treatment management based on the "method-disease-data" axis.

Neural regeneration research Sep 3, 2025
Although many previous studies have highlighted the advances in prediction models, instruments for pathological and histological diagnosis and treatment, as well as individualized treatment modalities in mental disorders, these previous syntheses usu... read more 

Integrated machine learning-based RNA sequencing and single-cell analysis reveal RNA methylation regulation patterns in the immune microenvironment of Alzheimer's disease.

Neural regeneration research Sep 3, 2025
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Technical system of electroencephalography-based brain-computer interface: Advances, applications, and challenges.

Neural regeneration research Sep 3, 2025
Electroencephalography-based brain-computer interfaces have revolutionized the integration of neural signals with technological systems, offering transformative solutions across neuroscience, biomedical engineering, and clinical practice. This review... read more 

Utility of Multiclass Machine Learning Algorithms in Predicting Same-Day Discharge Following Primary Total Knee Arthroplasty.

The Journal of arthroplasty Sep 3, 2025
BACKGROUND: Length of stay (LOS) is a substantial driver of costs following primary total knee arthroplasty (TKA), leading to increased efforts targeting same-day discharge (SDD). However, patient selection for SDD TKA remains a challenge, with 7 to ... read more 

Residual disease in NPM1-mutated acute myeloid leukemia.

Clinica chimica acta; international journal of clinical chemistry Sep 3, 2025
Acute myeloid leukemia (AML) represents a genetically heterogeneous malignancy, with mutations in the nucleophosmin-1 (NPM1) gene identified as the most prevalent and clinically significant molecular biomarkers. These mutations play a crucial pivotal... read more 
Humans Leukemia, Myeloid, Acute Nuclear Proteins Mutation Neoplasm, Residual Nucleophosmin

Using machine learning to predict the consumption of a Mediterranean diet with untargeted metabolomics data from controlled feeding studies.

Nutrition, metabolism, and cardiovascular diseases : NMCD Sep 3, 2025
BACKGROUND AND AIMS: Developing metabolomic signatures of diets is a promising strategy to better understand the diet-health paradigm. Our objective was to develop and validate machine learning (ML) models that predict the consumption of a Mediterran... read more 
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