Artificial Intelligence Medical Compendium

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

Showing 25,641 to 25,650 of 217,759 articles

MS-ConTab: Multi-Scale Contrastive Learning of Mutation Signatures for Pan-Cancer Representation and Stratification.

Bioinformatics (Oxford, England)
MOTIVATION: Understanding pan-cancer level mutational landscape offers critical insights into the molecular mechanisms underlying tumorigenesis. While patient-level machine learning techniques have been widely employed to identify tumor subtypes, coh... read more 

Realization of Long Axial Field-of-View PET Technology in the Clinic and Research Environment.

The British journal of radiology
Long axial field-of-view (AFOV) PET-CT instruments have significantly higher sensitivity than conventional PET scanners allowing for reduced scan time and/or reduced radiotracer dose. The long axial coverage also permits multi-organ dynamic imaging w... read more 

3D printed firearm identification: A comparison of machine learning models.

Journal of forensic sciences
The production of three-dimensional (3D) printed firearms is concerning as these objects are unregulated and untraceable due to the lack of serial numbers. Criminals can obtain 3D models online or design their own versions using computer-aided design... read more 

Enhancing Cross-Platform Generalizability and Clinical Decision-Making in Deep Learning-Based Detection of Ultrasound Transducer Uniformity Artifacts.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
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Author guidelines in the AI era: Writing for readers, search engines, and reproducibility. Insights from editorial practice.

Advances in clinical and experimental medicine : official organ Wroclaw Medical University
Scientific journals establish author guidelines to ensure manuscript consistency, enhance readability, and maintain editorial standards. However, the rationale behind specific requirements is not always apparent to submitting authors, leading to misu... read more 

Optimizing Cine Cardiac MRI: Technical Advances and Clinical Applications.

Journal of magnetic resonance imaging : JMRI
Cine cardiac magnetic resonance imaging (MRI) is the gold standard for cardiac function assessment, offering exceptional spatial and temporal resolution in a non-invasive manner. Recently, there have been attempts to improve signal-to-noise ratio (SN... read more 

Selective and Sustainable Recovery of High-Value Metals from e-Waste via a Glucose-Mediated Hydrothermal Process.

Environmental science & technology
The rapid fabrication of artificial intelligence-based hardware worldwide is intensifying the electronic waste (e-waste) crisis, threatening ecosystems and demanding urgent, sustainable solutions for metal recovery. Herein, a glucose-mediated hydroth... read more 

Automated detection of racket-ball impact timing in tennis strokes using deep learning models and a markerless motion capture system.

Sports biomechanics
Event identification, which refers to defining important moments within a movement, is a fundamental process in biomechanical analysis. This study aimed to develop and evaluate deep learning models for automated detection of the moment of racket-ball... read more 

A recognition method of soybean varieties based on near-infrared spectroscopy and improved deep learning model.

Food chemistry
Rapid and accurate detection of soybean varieties is of crucial importance for the successful cultivation, management, and selection of ecological types. The accuracy of the techniques currently employed is not satisfactory. Thus, in order to overcom... read more 

Machine Learning Unveils Dietary Antioxidants as Influential Factors for Diabetes-Cancer Comorbidity: Insights From National Health and Nutrition Examination Survey.

Food science & nutrition
This study aims to assess the predictive value of dietary antioxidants in diabetes-cancer comorbidity using interpretable machine learning (ML) models and to identify key clinical factors. Data were sourced from the National Health and Nutrition Exam... read more