Artificial Intelligence Medical Compendium

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

Showing 36,841 to 36,850 of 223,469 articles

Handwritten Text Recognition: A Survey.

IEEE transactions on pattern analysis and machine intelligence Apr 1, 2026
Handwritten Text Recognition (HTR) has become an essential field within pattern recognition and machine learning, with applications spanning historical document preservation to modern data entry and accessibility solutions. The complexity of HTR lies... read more 

Risk-Stratified Biologic Efficacy in Ulcerative Colitis: A Multicenter Machine Learning Study.

Inflammatory bowel diseases Apr 1, 2026
BACKGROUND: Ulcerative colitis (UC) exhibits a heterogeneous clinical course, complicating prognostication and therapeutic decision making. Current tools inadequately predict progression or identify patients most likely to benefit from biologic thera... read more 

Jo-SNC: Combating Noisy Labels Through Fostering Self- and Neighbor-Consistency.

IEEE transactions on pattern analysis and machine intelligence Apr 1, 2026
Label noise is pervasive in various real-world scenarios, posing challenges in supervised deep learning. Deep networks are vulnerable to such label-corrupted samples due to the memorization effect. One major stream of previous methods concentrates on... read more 

Hypergraph Foundation Model.

IEEE transactions on pattern analysis and machine intelligence Apr 1, 2026
Hypergraph neural networks (HGNNs) effectively model complex high-order relationships in domains like protein interactions and social networks by connecting multiple vertices through hyperedges, enhancing modeling capabilities, and reducing informati... read more 

Observer-Based Adaptive Neural Sliding Mode Control of Fuzzy Systems With Sojourn-Probability-Based Multimode Attacks.

IEEE transactions on cybernetics Apr 1, 2026
This article addresses the challenges posed by multimode denial of service (DoS) and deception attacks in observer-based sliding mode control (SMC) for fuzzy nonlinear systems. A novel multimode DoS attack model is introduced, incorporating time-vary... read more 

DSwinIR: Rethinking Window-Based Attention for Image Restoration.

IEEE transactions on pattern analysis and machine intelligence Apr 1, 2026
Image restoration has witnessed significant advancements with the development of deep learning models. Transformer-based models, particularly those using window-based self-attention, have become a dominant force. However, their performance is constra... read more 

Hyperbolic Kernel Graph Neural Networks for Neurocognitive Decline Analysis From Multimodal Brain Imaging.

IEEE transactions on pattern analysis and machine intelligence Apr 1, 2026
Multimodal neuroimages, such as diffusion tensor imaging (DTI) and resting-state functional MRI (fMRI), offer complementary perspectives on brain activities by capturing structural or functional interactions among brain regions. While existing studie... read more 

Armor: Shielding Unlearnable Examples Against Data Augmentation.

IEEE transactions on pattern analysis and machine intelligence Apr 1, 2026
Private data, when published online, may be collected by unauthorized parties to train deep neural networks (DNNs). To protect privacy, defensive noises can be added to original samples to degrade their learnability by DNNs. Recently, unlearnable exa... read more 

Higher Diagnostic Accuracy of an AI Model for Colposcopy Compared With Conventional and Digital Colposcopic Evaluation.

Journal of lower genital tract disease Apr 1, 2026
OBJECTIVE: Colposcopy involves subjective visual assessment of cervical features that may indicate cervical dysplasia. Pattern recognition during colposcopy could be enhanced by artificial intelligence (AI). Using colposcopy images with precisely map... read more 

HYVE: Hybrid Vertex Encoder for Neural Distance Fields.

IEEE transactions on visualization and computer graphics Apr 1, 2026
Neural shape representation generally refers to representing 3D geometry using neural networks, e.g., computing a signed distance or occupancy value at a specific spatial position. In this paper we present a neural-network architecture suitable for a... read more 
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