Artificial Intelligence Medical Compendium

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

Showing 3,441 to 3,450 of 168,679 articles

Developing personalized algorithms for sensing mental health symptoms in daily life.

Npj mental health research Aug 6, 2025
The integration of artificial intelligence (AI) and pervasive computing offers new opportunities to sense mental health symptoms and deliver just-in-time adaptive interventions via mobile devices. This pilot study tested personalized versus generaliz... read more 

Renji endoscopic submucosal dissection video data set for colorectal neoplastic lesions.

Scientific data Aug 6, 2025
Artificial intelligence advancements have significantly enhanced computer-aided intervention, learning among surgeons, and analysis of surgical videos post-operation, substantially elevating surgical expertise and patient outcomes. Recognition system... read more 
Video Recording Endoscopic Mucosal Resection Humans Colorectal Neoplasms

Modeling highway-rail grade crossing (HRGC) crash severity using statistical and machine learning methods.

International journal of injury control and safety promotion Aug 6, 2025
A principal safety issue at highway-rail grade crossings (HRGCs) is the severity of crashes. Although many studies have analyzed crash severity at HRGCs, they often rely on national datasets or a narrow set of variables, frequently overlooking region... read more 

DDTracking: A Deep Generative Framework for Diffusion MRI Tractography with Streamline Local-Global Spatiotemporal Modeling

arXiv Aug 6, 2025
This paper presents DDTracking, a novel deep generative framework for diffusion MRI tractography that formulates streamline propagation as a conditional denoising diffusion process. In DDTracking, we introduce a dual-pathway encoding network that j... read more 
Computer Vision and Pattern Recognition

TAlignDiff: Automatic Tooth Alignment assisted by Diffusion-based Transformation Learning

arXiv Aug 6, 2025
Orthodontic treatment hinges on tooth alignment, which significantly affects occlusal function, facial aesthetics, and patients' quality of life. Current deep learning approaches predominantly concentrate on predicting transformation matrices throu... read more 
Computer Vision and Pattern Recognition

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models

arXiv Aug 6, 2025
As deep learning-based, data-driven information extraction systems become increasingly integrated into modern document processing workflows, one primary concern is the risk of malicious leakage of sensitive private data from these systems. While so... read more 
Cryptography and Security

StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs through Knowledge-Reasoning Fusion

arXiv Aug 6, 2025
Autoformalization aims to translate natural-language mathematical statements into a formal language. While LLMs have accelerated progress in this area, existing methods still suffer from low accuracy. We identify two key abilities for effective aut... read more 
Computation and Language Artificial Intelligence Machine Learning

Invulnerability bias in perceptions of artificial intelligence's future impact on employment.

Scientific reports Aug 6, 2025
The adoption of Artificial Intelligence (AI) is reshaping the labor market; however, individuals' perceptions of its impact remain inconsistent. This study investigates the presence of the Invulnerability Bias (IB), where workers perceive that AI wil... read more 
Male Middle Aged Young Adult Adult Employment Humans Perception Surveys and Questionnaires Artificial Intelligence Bias Machine Learning Female

UniFGVC: Universal Training-Free Few-Shot Fine-Grained Vision Classification via Attribute-Aware Multimodal Retrieval

arXiv Aug 6, 2025
Few-shot fine-grained visual classification (FGVC) aims to leverage limited data to enable models to discriminate subtly distinct categories. Recent works mostly finetuned the pre-trained visual language models to achieve performance gain, yet suff... read more 
Computer Vision and Pattern Recognition Artificial Intelligence

Identification of copper related biomarkers in breast cancer using machine learning.

Discover oncology Aug 6, 2025
BACKGROUND: Breast cancer is the most prevalent and deadly cancer among women globally, necessitating more effective diagnostic and therapeutic approaches. This study aims to explore new treatment targets and diagnostic tools. read more 
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