Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 67,101 to 67,110 of 232,511 articles
Establishment and validation of an electrocardiogram vector-based machine learning model for the conversion of prone position electrocardiograms into standard electrocardiograms.
European heart journal. Digital health
Dec 17, 2025
AIMS: The prone electrocardiogram (ECG) presents challenges in detecting anterior ST-segment elevated myocardial infarction (STEMI). This study aims to develop a method to convert prone ECGs to standard ECGs to facilitate physician diagnosis of STEMI... read more
Intelligent sentiment analysis with Arabic patient feedback on healthcare services in King Hussein Cancer Center.
Artificial intelligence in medicine
Dec 17, 2025
The growing digitization of healthcare services has led to an abundance of textual patient feedback, offering a unique opportunity to assess healthcare quality through sentiment analysis. While most existing research focuses on English-language data,... read more
Revealing the anti-tumor mechanisms of aromatic oil from Amomum villosum through integrated network pharmacology, bioinformatics, machine learning, single-cell sequencing, and cell experiments.
Biochemical and biophysical research communications
Dec 17, 2025
The dry fruits of Amomum villosum (Av) are a traditional Chinese medicine used for gastrointestinal disease. Aromatic oil has been reported to have anti-tumor properties. However, its therapeutic potential and molecular mechanisms remain unclear. Int... read more
An interpretable model based on weakly supervised learning for uterine smooth muscle tumor diagnosis: A multi-center study.
Pathology, research and practice
Dec 17, 2025
Uterine smooth muscle tumors (USMTs) are the most common tumors of the female reproductive system, but remain diagnostically challenging due to morphological overlap among leiomyosarcoma (LMS), various leiomyoma (LM) subtypes, and smooth muscle tumor... read more
Assessing adolescents' use of artificial intelligence in psychiatric practice.
The lancet. Psychiatry
Dec 17, 2025
Quantitative analysis of 3-monochloropropane-1,2-diol in fried oil using convolutional neural networks optimizing with a hybrid feature selection based on Fourier transform infrared spectroscopy.
Food chemistry
Dec 17, 2025
To address challenges in quantifying 3-monochloropropane-1,2-diol (3-MCPD), a toxic compound formed during oil refining with nephrotoxic, reproductive toxic, and carcinogenic properties, a convolutional neural network (CNN) integrated with a hybrid f... read more
Development of the model for predicting the efficacy of bevacizumab and prognosis in ovarian cancer using deep learning-based pathomics signatures.
Chinese medical journal
Dec 17, 2025
Pathway to precision: machine learning and bioinformatics in diabetes gene expression studies.
Journal of diabetes and metabolic disorders
Dec 17, 2025
BACKGROUND: Diabetes mellitus is a metabolic disorder; understanding the pathogenic mechanisms underlying diabetes is crucial. Analyzing biomarkers, supported by machine learning and bioinformatics, is crucial for identifying the molecular causes of ... read more
The efficacy of CGM driven machine learning algorithms in predicting hypoglycemia in patients with T1DM: a systematic review and meta-analysis.
Journal of diabetes and metabolic disorders
Dec 17, 2025
PURPOSE: An important function of continuous glucose monitoring (CGM) is to alert individuals with type one diabetes mellitus (T1DM) to impending hypoglycemia, however, it lacks the ability to predict episodes beyond 30 min. Machine learning (ML) alg... read more
Artificial intelligence and machine learning in thrombosis and hemostasis: a scoping review of clinical and laboratory applications, challenges, and future directions.
Clinical chemistry and laboratory medicine
Dec 17, 2025
This scoping review followed the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines to systematically map the current landscape of artificial intelligence (AI) and machine learning... read more
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