Artificial Intelligence Medical Compendium

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

Showing 2,151 to 2,160 of 166,891 articles

Recent progress in multifunctional theranostic hydrogels: the cornerstone of next-generation wound care technologies.

Biomaterials science
Theranostic hydrogels represent a groundbreaking approach by integrating therapeutic and diagnostic capabilities within a single platform, enabling real-time monitoring of wounds and precise treatment applications. These advanced materials are engine... read more 

Retinal Lipidomics Associations as Candidate Biomarkers for Cardiovascular Health

arXiv
Retinal microvascular imaging is increasingly recognised as a non invasive method for evaluating systemic vascular and metabolic health. However, the association between lipidomics and retinal vasculature remains inadequate. This study investigates... read more 

Development and interpretation of a machine learning risk prediction model for post-stroke depression in a Chinese population.

Scientific reports
Current evidence for predictive models of post-stroke depression (PSD) risk based on machine learning (ML) remains limited. The aim of this study is to develop a superior predictive model based on ML algorithms for PSD in the Chinese population. We r... read more 

Interactive 3D segmentation for primary gross tumor volume in oropharyngeal cancer.

Scientific reports
Radiotherapy is the main treatment modality of oropharyngeal cancer (OPC), in which an accurate segmentation of primary gross tumor volume (GTVt) is essential but also challenging due to significant interobserver variability and the time consumed in ... read more 

Clinical correlates of errors in machine-learning diagnostic model of autism spectrum disorder: Impact of sample cohorts.

Autism : the international journal of research and practice
Machine-learning models can assist in diagnosing autism but have biases. We examines the correlates of misclassifications and how training data affect model generalizability. The Social Responsive Scale data were collected from two cohorts in Taiwan:... read more 

MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy

arXiv
Miniaturized endoscopy has advanced accurate visual perception within the human body. Prevailing research remains limited to conventional cameras employing convex lenses, where the physical constraints with millimetre-scale thickness impose serious... read more 

T2UE: Generating Unlearnable Examples from Text Descriptions

arXiv
Large-scale pre-training frameworks like CLIP have revolutionized multimodal learning, but their reliance on web-scraped datasets, frequently containing private user data, raises serious concerns about misuse. Unlearnable Examples (UEs) have emerge... read more 

More-than-Moore Approaches Implemented Using van der Waals Heterostructures.

ACS nano
Two-dimensional (2D) materials and van der Waals (vdW) heterostructures have emerged as key enablers in addressing the fundamental limitations of silicon-based technologies, driving advancements in next-generation electronic systems. Their high carri... read more 

ReDSM5: A Reddit Dataset for DSM-5 Depression Detection

arXiv
Depression is a pervasive mental health condition that affects hundreds of millions of individuals worldwide, yet many cases remain undiagnosed due to barriers in traditional clinical access and pervasive stigma. Social media platforms, and Reddit ... read more 

Veila: Panoramic LiDAR Generation from a Monocular RGB Image

arXiv
Realistic and controllable panoramic LiDAR data generation is critical for scalable 3D perception in autonomous driving and robotics. Existing methods either perform unconditional generation with poor controllability or adopt text-guided synthesis,... read more