Artificial Intelligence Medical Compendium

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

Showing 221 to 230 of 156,985 articles

Bridging KAN and MLP: MJKAN, a Hybrid Architecture with Both Efficiency and Expressiveness

arXiv Jul 7, 2025
Kolmogorov-Arnold Networks (KANs) have garnered attention for replacing fixed activation functions with learnable univariate functions, but they exhibit practical limitations, including high computational costs and performance deficits in general c...
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CLIP-Guided Backdoor Defense through Entropy-Based Poisoned Dataset Separation

arXiv Jul 7, 2025
Deep Neural Networks (DNNs) are susceptible to backdoor attacks, where adversaries poison training data to implant backdoor into the victim model. Current backdoor defenses on poisoned data often suffer from high computational costs or low effectiv...
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Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition

arXiv Jul 7, 2025
The Critical View of Safety (CVS) is crucial for safe laparoscopic cholecystectomy, yet assessing CVS criteria remains a complex and challenging task, even for experts. Traditional models for CVS recognition depend on vision-only models learning wi...
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Self-Supervised Real-Time Tracking of Military Vehicles in Low-FPS UAV Footage

arXiv Jul 7, 2025
Multi-object tracking (MOT) aims to maintain consistent identities of objects across video frames. Associating objects in low-frame-rate videos captured by moving unmanned aerial vehicles (UAVs) in actual combat scenarios is complex due to rapid ch...
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A semi supervised framework for human and machine collaboration in computer assisted text refinement.

Scientific reports Jul 7, 2025
Human writing often exhibits a range of styles and levels of sophistication. However, automated text generation systems typically lack the nuanced understanding required to produce refined and elegant prose. Due to the inherent one-to-many relationsh...
Humans Natural Language Processing Semantics
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Navigating Digital Health: Experiences and Challenges of Older Adults in Adopting AI and Digital Technologies.

Journal of gerontological nursing Jul 7, 2025
PURPOSE: Digital technologies and artificial intelligence (AI) offer valuable opportunities to improve patient care, but older adults face unique challenges in adopting these innovations. The current study sought to explore the experiences of older a...
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An analysis of vision-language models for fabric retrieval

arXiv Jul 7, 2025
Effective cross-modal retrieval is essential for applications like information retrieval and recommendation systems, particularly in specialized domains such as manufacturing, where product information often consists of visual samples paired with a...
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Hardware-efficient tractable probabilistic inference for TinyML Neurosymbolic AI applications

arXiv Jul 7, 2025
Neurosymbolic AI (NSAI) has recently emerged to mitigate limitations associated with deep learning (DL) models, e.g. quantifying their uncertainty or reason with explicit rules. Hence, TinyML hardware will need to support these symbolic models to b...
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Virtual Hydrolysis-Based Screening of Wheat-Derived DPP-IV Inhibitory Peptides: A Mechanistic Analysis Integrating Cell Experiments and Molecular Dynamics Simulations.

Journal of agricultural and food chemistry Jul 7, 2025
Dipeptidyl peptidase-IV (DPP-IV) inhibitors play a critical role in the treatment of diabetes and metabolic diseases. This study combines computational simulations with experimental validation to identify peptides with potential DPP-IV inhibitory act...
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Taming the Tri-Space Tension: ARC-Guided Hallucination Modeling and Control for Text-to-Image Generation

arXiv Jul 7, 2025
Despite remarkable progress in image quality and prompt fidelity, text-to-image (T2I) diffusion models continue to exhibit persistent "hallucinations", where generated content subtly or significantly diverges from the intended prompt semantics. Whi...
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