Artificial Intelligence Medical Compendium

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

Showing 44,781 to 44,790 of 224,055 articles

PortInput: Enabling Always-available Micro-gesture Input with Pressure Array Sensor.

IEEE transactions on visualization and computer graphics Mar 4, 2026
Micro-gestures provide a natural, efficient, and privacy-preserving input modality; however, existing techniques often depend on environmental conditions, limiting their robustness and applicability in real-world settings. In this work, we present th... read more 

Mean Square Exponential Stability of Dynamic Memristor Neutral Stochastic Cellular Neural Networks With Time-Varying Delays.

IEEE transactions on cybernetics Mar 4, 2026
This article investigates the mean square exponential stability for dynamic memristor-neutral stochastic cellular neural networks with time-varying delays (DM-NSDCNNs). Unlike general neural networks (NNs) analyzed in the voltage-current domain, DM-N... read more 

STAND-Net: A Spiking Temporal Attention autoeNcoDer Network for Efficient EEG Artifact Removal.

IEEE journal of biomedical and health informatics Mar 4, 2026
Electroencephalography (EEG)-based brain computer interface (BCI) systems hold significant promise across diverse applications; however, their performance is compromised by pervasive physiological artifacts that degrade signal fidelity. While current... read more 

SASG-DA: Sparse-Aware Semantic-Guided Diffusion Augmentation For Myoelectric Gesture Recognition.

IEEE journal of biomedical and health informatics Mar 4, 2026
Surface electromyography (sEMG)-based gesture recognition plays a critical role in human-machine interaction (HMI), particularly for rehabilitation and prosthetic control. However, sEMG-based systems often suffer from the scarcity of informative trai... read more 

Deep Learning-Based Vitiligo Activity Evaluation Using Wood's Lamp Imaging: A Clinical Decision Support.

IEEE journal of biomedical and health informatics Mar 4, 2026
Vitiligo is an autoimmune disorder characterized by heterogeneous and unpredictable depigmentation, which poses substantial challenges for objective disease monitoring and treatment evaluation in routine clinical practice. To address the lack of auto... read more 

Adaptive Segmentation of EEG for Machine Learning Applications.

IEEE journal of biomedical and health informatics Mar 4, 2026
OBJECTIVE: Electroencephalography (EEG) data is derived by sampling continuous neurological time series signals. In order to prepare EEG signals for machine learning, the signal must be divided into manageable segments. The current naive approach use... read more 

Reservoir-Based Graph Convolutional Networks.

IEEE transactions on pattern analysis and machine intelligence Mar 4, 2026
Message passing is a core mechanism in Graph Neural Networks (GNNs), enabling the iterative update of node embeddings by aggregating information from neighboring nodes. Graph Convolutional Networks (GCNs) exemplify this approach by adapting convoluti... read more 

Understanding Data Influence With Differential Approximation.

IEEE transactions on pattern analysis and machine intelligence Mar 4, 2026
Data plays a pivotal role in the groundbreaking advancements in artificial intelligence. The quantitative analysis of data significantly contributes to model training, enhancing both the efficiency and quality of data utilization. However, existing d... read more 

Bytes to Blood-Artificial Intelligence in the Management of Leukemia: A 2025 Update.

American journal of clinical oncology Mar 4, 2026
As artificial intelligence (AI) has been proposed to aid in the clinical management of leukemia, we sought to summarize the most relevant, current literature concerning this topic. PubMed was indexed from January 2022 to November 2025 using the searc... read more 

MAAR-Net: Multi-scale attention-assisted residual neural network for renal microvascular structure segmentation.

PloS one Mar 4, 2026
Renal disease represents a significant public health concern, with renal microvascular lesions playing a crucial role in disease progression. Accurate segmentation of this microvasculature is therefore essential for precise pathologic evaluation. Whi... read more 
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