Artificial Intelligence Medical Compendium

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

Showing 45,681 to 45,690 of 224,055 articles

Facile Critical Evaluation of Extensive Lithium-Oxygen Battery Literature Using In-House Data and the Structured Query Learning-Retrieval-Augmented Generation Method.

ACS applied materials & interfaces
Lithium-oxygen batteries (LOBs) offer combustion fuel-like energy densities but remain constrained by low efficiency, limited cycle life, and coupled degradation pathways linking the electrochemical growth and decay of the reaction product (Li2O2) an... read more 

A Unified Framework for Backdoor Trigger Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Recently, backdoor attacks on Deep Neural Networks (DNNs) have raised urgent security threats, which can manipulate the behavior of an attacked model by embedding the backdoor trigger into the input. Since triggers can be designed to be stealthy and ... read more 

Physics-Constrained Deep Learning for Effective Atomic Number and Density Calculation of Biological Tissues in Photon-Counting Spectral CT.

IEEE transactions on bio-medical engineering
Photon-Counting Detector Computed Tomography (PCD-CT) boasts excellent spectral utilization capability. Combined with material decomposition methods, it enables the calculation of the effective atomic number ($Z_{eff}$) and density ($\rho$) of scanne... read more 

Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentation.

IEEE transactions on bio-medical engineering
Medical image segmentation is increasingly reliant on deep learning techniques, yet the promising performance often come with high annotation costs. This paper introduces Weak-Mamba-UNet, an innovative weakly-supervised learning (WSL) framework that ... read more 

Topology-aware Diffusion Schrödinger Bridge for Unpaired H&E-to-IHC Stain Translation.

IEEE journal of biomedical and health informatics
Unpaired H&E-to-IHC Stain Translation aims to generate immunohistochemistry (IHC) staining from Hematoxylin and Eosin (H&E) staining. It offers clearer diagnostic insights and potentially expands access to advanced pathology services in resource-limi... read more 

PSA-1DCNN: Multimodal Biomarker and Text Integration for Lung Cancer Diagnosis.

IEEE journal of biomedical and health informatics
Integrating multimodal data, such as unstructured clinical narratives and quantitative blood biomarkers, remains a major challenge in modern healthcare due to heterogeneous formats, complex semantics, and limited inter-modal correlations. Despite sig... read more 

BioFPT: Biosignal Feature Pyramid Transformer for self-supervised representation learning from ECGsignals.

IEEE journal of biomedical and health informatics
Electrocardiogram (ECG) analysis represents a promising field for deep learning applications in clinical diagnostics. However, practical use of current methods is still constrained by their heavy reliance on large amounts of labeled data, as well as ... read more 

Intelligent System for Upper Limb Motor Assessment using Inertial Sensors and Machine Learning for Telerehabilitation Therapies.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Neurological injuries can lead to a significant disability, particularly in upper limb motor function, impairing patients' ability to perform Activities of Daily Living (ADLs). Telerehabilitation has emerged as a promising solution for remote patient... read more 

ChannelExplorer: Exploring Class Separability Through Activation Channel Visualization.

IEEE transactions on visualization and computer graphics
Deep neural networks (DNNs) achieve state-of-the-art performance in many vision tasks, yet understanding their internal behavior remains challenging, particularly how different layers and activation channels contribute to class separability. We intro... read more 

NewsVis: GenAI-based Visual Storytelling for Corporate Financial News.

IEEE transactions on visualization and computer graphics
Corporate financial news is pivotal for market decisions, but often overwhelms general audiences. While data videos effectively bridge this comprehension gap, their production remains a bottleneck for journalists. We present NewsVis, an authoring too... read more