Artificial Intelligence Medical Compendium

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

Showing 59,051 to 59,060 of 227,876 articles

Foundation models for electrocardiogram interpretation: clinical implications.

European heart journal
BACKGROUND AND AIMS: The 12-lead electrocardiogram (ECG) remains a cornerstone of cardiac diagnostics, yet existing artificial intelligence (AI) solutions for automated interpretation often lack generalizability, remain closed source, and are primari... read more 

Vaping Goes Viral: The Role of Commercial E-Cigarette Tweets in Youth E-Cigarette Use Susceptibility.

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco
INTRODUCTION: Social media (SM) are major marketing platforms for e-cigarette product promotion, particularly among youth. While prior studies have established associations between self-reported SM e-cigarette marketing exposure and youth e-cigarette... read more 

Multimodal AI for automated resuscitation debriefing: Feasibility of timeline reconstruction using commercially available tools.

Medical teacher
WHAT WAS THE EDUCATIONAL CHALLENGE?: Resuscitation debriefing requires accurate timeline reconstruction for effective team learning. Standard documentation captures medications and interventions but lacks granular communication patterns, team dynamic... read more 

High-Performance Hydrogel Skins for Bioinspired Robotic Fish in Extreme Ocean Environments.

ACS applied materials & interfaces
The ocean's extreme environments demand robust materials for next-generation exploration tools. Here, we report a multifunctional poly(vinyl alcohol) hydrogel (PVA-H) fabricated via universal solvent-induced crystallization for bioinspired robotic fi... read more 

Effective lung nodule segmentation and classification by employing a SPPUNet model and global context attention-based InceptionV3.

Informatics for health & social care
Lung nodules (LNs) detection using computer tomography (CT) images is essential to reduce the mortality of lung cancer (LC). The complex three-dimensional structure of lung CT data and the variation in the forms and appearances of LNs make the accura... read more 

Machine learning-based meat freshness evaluation: principle, pipeline and application.

Critical reviews in food science and nutrition
Ensuring the freshness of meat is crucial for food safety and consumer trust. Traditional methods for evaluating meat freshness, such as sensory analysis and chemical assays, are time-consuming, labor-intensive, and destructive. Machine learning (ML)... read more 

Cardiac MR Fingerprinting at 0.55T Using a Deep Image Prior for Joint T1, T2, and M0 Mapping.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: 0.55T systems offer unique advantages and may support expanded access to cardiac MRI. PURPOSE: To assess the feasibility of 0.55T cardiac MR Fingerprinting (MRF), leveraging a deep image prior reconstruction to mitigate noise. STUDY TYPE:... read more 

High-Resolution Diffusion-Weighted Imaging With Self-Gated Self-Supervised Unrolled Reconstruction.

Magnetic resonance in medicine
PURPOSE: High-resolution diffusion-weighted imaging (DWI) is clinically demanding. The purpose of this work is to develop an efficient self-supervised algorithm unrolling technique for submillimeter-resolution DWI. METHODS: We developed submillimeter... read more 

Climate-Smart Slurry Management for Sustainable Crop Production in a Warming Future.

Environmental science & technology
The annual nitrogen (N) production from livestock manure is comparable to that of synthetic N fertilizers used globally in croplands. Despite its recognized value for crop nutrition, current inefficient manure application contributes ∼10% to global a... read more 

Lung scintigraphy for the diagnosis of acute pulmonary embolism.

The quarterly journal of nuclear medicine and molecular imaging : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology (IAR), [and] Section of the Society of...
Pulmonary embolism (PE) remains a major diagnostic challenge due to its potentially life-threatening nature and the clinical burden associated with anticoagulation therapy. While computed tomography pulmonary angiography (CTPA) has become the dominan... read more