Artificial Intelligence Medical Compendium

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

Showing 19,171 to 19,180 of 214,800 articles

Artificial Intelligence (AI) and Medical Education Innovations: A Conversation With Marc Triola, From the AJR Video Series on AI in Radiology.

AJR. American journal of roentgenology May 13, 2026
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The Time for Artificial Intelligence Has Come for Screening Mammography.

AJR. American journal of roentgenology May 13, 2026
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General Purpose Artificial Intelligence for Abdominal CT Using a 3D Vision-Language Foundation Model.

AJR. American journal of roentgenology May 13, 2026
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Machine-Learning Predictions of Photoluminescence in Molecules Exhibiting Thermally Activated Delayed Fluorescence with Implicit Experimental Validation.

Journal of chemical information and modeling May 13, 2026
The application of machine learning to materials discovery is often constrained by the availability of large-scale, experimentally verified materials databases. This study presents an automatic, end-to-end framework that bridges this gap by training ... read more 

Machine Learning for Comparative Antidepressant Selection in Major Depressive Disorder: Systematic Review.

JMIR mental health May 13, 2026
BACKGROUND: Major depressive disorder (MDD) affects approximately 1 in 6 adults during their lifetime, yet antidepressant selection relies predominantly on trial-and-error, with response rates of only 42% to 53%. While machine learning (ML) models ha... read more 

Artificial intelligence for keratosis characterization and identification of lichenoid lesions in histological samples of oral leukoplakia.

Virchows Archiv : an international journal of pathology May 13, 2026
Oral leukoplakia (OL) is a precancerous condition typically assessed through histopathological examination of mucosal lesion biopsies. Identifying histological features of oral lichenoid lesions (OLL) within OL samples is clinically important, as the... read more 

[Artificial intelligence as decision support tool in urological oncology: current evidence and challenges].

Urologie (Heidelberg, Germany) May 13, 2026
BACKGROUND: The rising incidence of cancer, increasing life expectancy and complex personalized treatment concepts pose considerable challenges for the healthcare system. Artificial intelligence (AI)-in particular machine learning (ML), deep learning... read more 

Comparison between a conventional tool and deep learning models for RNA velocity analysis of scRNA-Seq data.

Molecular genetics and genomics : MGG May 13, 2026
Single-cell RNA sequencing (scRNA-Seq) enables analysis of gene expression at single-cell resolution. RNA velocity analysis infers the temporal dynamics of transcriptional states from the relative abundances of spliced/unspliced mRNA quantified via s... read more 

Decoding seasonal irrigation suitability of drain water using integrated indexical, statistical, graphical and machine learning approaches.

Environmental geochemistry and health May 13, 2026
SCOPE: Rapid urbanization and industrialization have exacerbated freshwater scarcity while simultaneously increasing wastewater generation, making the safe and judicious reuse of wastewater a viable strategy to address both challenges. OBJECTIVES: Th... read more 

Automated quantification of interstitial lung abnormalities and emphysema on computed tomography: a predictive marker for postoperative pulmonary complications after esophagectomy.

Esophagus : official journal of the Japan Esophageal Society May 13, 2026
BACKGROUND: Postoperative pulmonary complications (PPCs), including pneumonia, acute lung injury, and acute respiratory distress syndrome, are common morbidities associated with mortality following esophagectomy. This study aimed to assess the associ... read more 
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