Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 24,031 to 24,040 of 217,366 articles
Evaluation of the accuracy and readability of large language model responses on menopause and hormone therapy.
Menopause (New York, N.Y.)
May 1, 2026
OBJECTIVE: Generative artificial intelligence is rapidly evolving and is now being explored in health care to support patient and clinician education. This study evaluated the accuracy, completeness, and readability of four large language models (LLM... read more
Multilevel Correlation-Aware and Modal-Aware Graph Convolutional Network for Diagnosing Neurodevelopmental Disorders.
IEEE transactions on bio-medical engineering
May 1, 2026
OBJECTIVE: Graph-based methods using resting-state functional magnetic resonance imaging demonstrate strong capabilities in modeling brain networks. However, existing graph-based methods often overlook inter-graph relationships, limiting their abilit... read more
A Tutorial on MRI Reconstruction: From Modern Methods to Clinical Implications.
IEEE transactions on bio-medical engineering
May 1, 2026
MRI is an indispensable clinical tool, offering a rich variety of tissue contrasts to support broad diagnostic and research applications. Protocols can incorporate multiple structural, functional, diffusion, spectroscopic, or relaxometry sequences to... read more
Self-Supervised Contrastive Pre-Training for EEG-Based Recognition via Cross Device Representation Consistency.
IEEE transactions on bio-medical engineering
May 1, 2026
Electroencephalography (EEG) has emerged as a powerful tool for modeling human brain states. However, the widespread adoption of EEG-based recognition systems is hindered by low signal-to-noise ratios and the scarcity of labeled data. While existing ... read more
Physics-Guided Self-Supervised Implicit Neural Representation for Accelerated $\text{T}_{1\rho }$ Mapping.
IEEE transactions on bio-medical engineering
May 1, 2026
Quantitative $\text{T}_{1\rho }$ mapping has shown promise in clinical and research studies. However, it suffers from long scan times. Deep learning-based techniques have been successfully applied in accelerated quantitative MR parameter mapping. How... read more
An Electromagnetic Navigation Surgical Robotic System (ENSRS) for Transthoracic Puncture of Small Pulmonary Nodules.
IEEE transactions on bio-medical engineering
May 1, 2026
OBJECTIVE: To address the limitations of traditional CT-guided pulmonary nodule interventions, such as excessive radiation exposure, prolonged procedure times, and limited precision, we developed an electromagnetic navigation surgical robotic system ... read more
Self-Supervised Denoising With Noise Propagation Model: Improving Material Decomposition in Photon-Counting CT.
IEEE transactions on bio-medical engineering
May 1, 2026
The inherent spectral properties of photon-counting computed tomography (PCCT) allow detailed material identification through decomposition techniques, but these methods often amplify image noise and artifacts. Current denoising approaches mainly foc... read more
SemSTNet: Medical EEG Semantic Metric Learning With Class Prototypes Generated by Pretrained Language Model.
IEEE transactions on bio-medical engineering
May 1, 2026
Electroencephalography (EEG) feature learning is crucial for brain-machine interfaces and medical diagnostics. Existing deep learning models for classification often overlook the intrinsic semantic relationships between different EEG classes and rely... read more
Multi-Stage Respiratory Sound Analysis: Confidence-Driven Wheeze and Crackle Detection.
IEEE transactions on bio-medical engineering
May 1, 2026
OBJECTIVE: Accurate detection of adventitious respiratory sounds, such as wheezes and crackles, is essential for diagnosing and managing respiratory conditions. This study introduces a multi-stage, confidence-driven framework for automated pediatric ... read more
Next-Generation Tactile Sensing and Machine Learning Integration for Robot-Assisted Minimally Invasive Surgery.
IEEE transactions on bio-medical engineering
May 1, 2026
Tactile feedback in robot-assisted minimally invasive surgery (RAMIS) is crucial for surgeons when palpating subsurface tumors and other organ structures. The research presented here is a new approach for tactile sensation generation that aims to pro... read more
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