Artificial Intelligence Medical Compendium

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

Showing 39,241 to 39,250 of 223,737 articles

TSM-NIDS: A time-series mixer-based intrusion detection system for IoT networks.

MethodsX Mar 24, 2026
The rapid proliferation of Internet of Things (IoT) devices in healthcare, manufacturing, and smart cities has introduced significant cybersecurity challenges. These devices present an attractive attack surface for cyber threats, making robust intrus... read more 

Establishment of a novel deep learning-based method for gait analysis after peripheral nerve injury in pigs.

Regenerative therapy Mar 24, 2026
BACKGROUND: Peripheral nerve injury with deficits has poor functional prognosis, making motor function assessment during nerve regeneration crucial. Recently, pigs have been used as research animals for peripheral nerve regeneration from a translatio... read more 

Recent advances in low-temperature ceramic fuel cells: material design and applications.

Chemical science Mar 24, 2026
Ceramic fuel cells (CFCs) are highly efficient and clean electrochemical energy conversion devices, featuring a wide range of available fuels (hydrogen, methane, ethanol and biomass gas) and the absence of the need for precious metal catalysts. They ... read more 

A Parameter-free unsupervised framework for fMRI data analysis using batch learning growing neural gas and spatial-temporal false positive control.

Computer methods and programs in biomedicine Mar 24, 2026
BACKGROUND AND OBJECTIVE: Clustering methods are essential for analyzing functional magnetic resonance imaging (fMRI) time-series data to identify active brain regions and elucidate functional neural patterns. Despite recent advancements in enhancing... read more 

Expression of concern "Accelerating cardiac radial-MRI: Fully polar based technique using compressed sensing and deep learning" [Medical Image Analysis, 105C (2025) 103732].

Medical image analysis Mar 24, 2026
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Enhancing few-shot personalized cuffless blood pressure estimation with self-supervised learning.

Physiological measurement Mar 24, 2026
Objective.Individual differences across subjects reduce the accuracy of physiological signal-based cuffless blood pressure (BP) estimation. However, training a personalized model with a large amount of data is impractical. This study aims to learn a ... read more 

Wearable sensor big data analysis reveals spatiotemporal injury patterns in professional tennis players.

Scientific reports Mar 24, 2026
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Neuroimaging-driven recommendation systems for personalized sports training and injury prevention.

Scientific reports Mar 24, 2026
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A convolutional neural network for fully automated total metabolic tumor volume delineation in patients with aggressive Non-Hodgkin lymphoma.

European journal of nuclear medicine and molecular imaging Mar 24, 2026
PURPOSE: The [18F]FDG-PET-derived total metabolic tumor volume (TMTV) has a high prognostic value in patients with Hodgkin and Non-Hodgkin lymphoma. However, in order to enable TMTV as a biomarker for clinical use, an accurate and fast method of tumo... read more 

Association of Music Therapy and Physiologic Indices in the Pediatric Cardiac Intensive Care Unit: Insights from Machine Learning and High-fidelity Physiologic Data.

Pediatric cardiology Mar 24, 2026
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