Artificial Intelligence Medical Compendium

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

Showing 4,111 to 4,120 of 173,463 articles

Pioneering 3D and 4D Bioprinting Strategies for Advanced Wound Management: From Design to Healing.

Small (Weinheim an der Bergstrasse, Germany) Aug 20, 2025
Chronic and complex wounds pose a major clinical challenge due to the intricate skin architecture and the multifactorial nature of healing. Conventional wound care often fails to restore native skin function and structure. Advances in 3D and 4D biopr... read more 

Locality-aware Concept Bottleneck Model

arXiv Aug 20, 2025
Concept bottleneck models (CBMs) are inherently interpretable models that make predictions based on human-understandable visual cues, referred to as concepts. As obtaining dense concept annotations with human labeling is demanding and costly, recen... read more 
Computer Vision and Pattern Recognition

FOCUS: Frequency-Optimized Conditioning of DiffUSion Models for mitigating catastrophic forgetting during Test-Time Adaptation

arXiv Aug 20, 2025
Test-time adaptation enables models to adapt to evolving domains. However, balancing the tradeoff between preserving knowledge and adapting to domain shifts remains challenging for model adaptation methods, since adapting to domain shifts can induc... read more 
Computer Vision and Pattern Recognition

SATURN: Autoregressive Image Generation Guided by Scene Graphs

arXiv Aug 20, 2025
State-of-the-art text-to-image models excel at photorealistic rendering but often struggle to capture the layout and object relationships implied by complex prompts. Scene graphs provide a natural structural prior, yet previous graph-guided approac... read more 
Computer Vision and Pattern Recognition

Weed mapping using UAV imagery and AI techniques: current trends and challenges.

Pest management science Aug 20, 2025
Despite achieving accuracy rates of over 90% in recognizing weeds in crop fields using images captured by unmanned aerial vehicles (UAVs), challenges remain with embedded systems that perform automatic weed identification in real-time. The primary ob... read more 

A study on the effectiveness of machine learning models for hepatitis prediction.

Scientific reports Aug 20, 2025
Hepatitis continues to be a major global health challenge, leading to high morbidity and mortality rates. Despite advances in diagnosis and treatment, early prediction of hepatitis outcomes remains an essential area for improvement. This study seeks ... read more 
Neural Networks, Computer Machine Learning Algorithms Humans Male Middle Aged Support Vector Machine Hepatitis Female Aged Adult

CTA-Flux: Integrating Chinese Cultural Semantics into High-Quality English Text-to-Image Communities

arXiv Aug 20, 2025
We proposed the Chinese Text Adapter-Flux (CTA-Flux). An adaptation method fits the Chinese text inputs to Flux, a powerful text-to-image (TTI) generative model initially trained on the English corpus. Despite the notable image generation ability c... read more 
Computer Vision and Pattern Recognition

Linkage Attacks Expose Identity Risks in Public ECG Data Sharing

arXiv Aug 20, 2025
The increasing availability of publicly shared electrocardiogram (ECG) data raises critical privacy concerns, as its biometric properties make individuals vulnerable to linkage attacks. Unlike prior studies that assume idealized adversarial capabil... read more 
Cryptography and Security Machine Learning

GeMS: Efficient Gaussian Splatting for Extreme Motion Blur

arXiv Aug 20, 2025
We introduce GeMS, a framework for 3D Gaussian Splatting (3DGS) designed to handle severely motion-blurred images. State-of-the-art deblurring methods for extreme blur, such as ExBluRF, as well as Gaussian Splatting-based approaches like Deblur-GS,... read more 
Computer Vision and Pattern Recognition

Side Effects of Erasing Concepts from Diffusion Models

arXiv Aug 20, 2025
Concerns about text-to-image (T2I) generative models infringing on privacy, copyright, and safety have led to the development of Concept Erasure Techniques (CETs). The goal of an effective CET is to prohibit the generation of undesired ``target''... read more 
Machine Learning Computer Vision and Pattern Recognition
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