Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 36,731 to 36,740 of 223,469 articles
Deciphering risk factors for severe postherpetic neuralgia in patients with herpes zoster: an interpretable machine learning approach.
Regional anesthesia and pain medicine
Apr 2, 2026
INTRODUCTION: Postherpetic neuralgia (PHN) is a common complication of herpes zoster (HZ). This study aimed to use a large real-world electronic medical records database to determine the optimal machine learning model for predicting the progression t... read more
Human versus artificial intelligence: evaluating ChatGPT's performance in conducting published systematic reviews with meta-analysis in chronic pain research.
Regional anesthesia and pain medicine
Apr 2, 2026
INTRODUCTION: Artificial intelligence (AI), particularly large-language models like Chat Generative Pre-Trained Transformer (ChatGPT), has demonstrated potential in streamlining research methodologies. Systematic reviews and meta-analyses, often cons... read more
Preliminary insights into dental student satisfaction in flippedclassroom seminars enhanced by artificial intelligence-generated podcasts: a comparative study.
International journal of computerized dentistry
Apr 1, 2026
AIM: To evaluate the perceived usefulness of a flipped-classroom model that integrated podcasts generated using an artificial intelligence (AI) tool in undergraduate dental education. MATERIALS AND METHODS: The present within-subject, quasi-experimen... read more
Freqformer: Frequency-Domain Transformer for 3-D Reconstruction and Quantification of Human Retinal Vasculature.
IEEE transactions on bio-medical engineering
Apr 1, 2026
OBJECTIVE: To achieve accurate 3-D reconstruction and quantitative analysis of human retinal vasculature from a single optical coherence tomography angiography (OCTA) scan. METHODS: We introduce Freqformer, a novel Transformer-based model featuring a... read more
Assistive Control of Knee Exoskeletons for Human Walking on Sandy Terrain.
IEEE transactions on bio-medical engineering
Apr 1, 2026
Human walkers encounter diverse terrains such as sand and solid ground, which result in distinct gait locomotion and energy costs. This study aims to design and validate a knee stiffness-based model predictive control approach for knee exoskeletons t... read more
Heart Rate Variability via Poincaré Mapping as an Early Biomarker Post-Cardiac Arrest.
IEEE transactions on bio-medical engineering
Apr 1, 2026
BACKGROUND: Predicting neurological outcomes following cardiac arrest remains challenging. This study introduces a two-stage approach that combines a novel feature selection optimization with machine learning classification, utilizing heart rate vari... read more
Explainable Prediction of ICU Transfer in Acute Pancreatitis: A Neural Network Model With SHAP Interpretability for Clinical Decision Support.
IEEE transactions on bio-medical engineering
Apr 1, 2026
OBJECTIVE: Acute pancreatitis (AP) is a life-threatening disorder commonly observed in emergency departments. Patients with acute pancreatitis may necessitate transfer to the intensive care unit (ICU) if standard treatments prove ineffective. The dev... read more
Multiclass Arrhythmia Classification Using Multimodal Smartwatch Photoplethysmography Signals Collected in Real-Life Settings.
IEEE transactions on bio-medical engineering
Apr 1, 2026
OBJECTIVE: Smartwatches with photoplethysmographic (PPG) sensors are ideal for early atrial fibrillation (AF) detection through continuous monitoring. However, prior deep learning was limited either to controlled environments, to minimize motion arti... read more
ProtoMGNet: Memory Guided Network With Instance Prototype Enhancement for Echocardiography Segmentation.
IEEE transactions on bio-medical engineering
Apr 1, 2026
Accurate segmentation of key cardiac structures in echocardiography is crucial for early diagnosis of cardiovascular diseases, yet remains challenging due to inherent imaging limitations including low signal-to-noise ratios, speckle noise, and viewpo... read more
Spherical Harmonics Representation Learning for High-Fidelity and Generalizable Super-Resolution in Diffusion MRI.
IEEE transactions on bio-medical engineering
Apr 1, 2026
OBJECTIVE: Diffusion magnetic resonance imaging (dMRI) often suffers from low spatial and angular resolution due to inherent limitations in imaging hardware and system noise, adversely affecting the accurate estimation of microstructural parameters w... read more
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