Artificial Intelligence Medical Compendium

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

Showing 52,711 to 52,720 of 225,341 articles

Emerging synthetic strategies, tunable properties, and multifunctional applications of metal-doped carbon dots: A review.

Advances in colloid and interface science
Because of its unique characteristics and numerous prospective uses, metal-doped carbon dots (M@CDs) are gaining more interest. Through orbital interactions between metal and carbon atoms, metal integration alters the electrical structure, nanostruct... read more 

The cNED framework: modeling core microbial communities and metabolic functions with SHAP-interpretable environmental thresholds in large rivers.

Water research
Microbial communities in river ecosystems regulate biogeochemical cycling and serve as natural bioremediators for environmental pollutants. However, accurately predicting their dynamic responses to changing conditions remains a significant scientific... read more 

Improving watershed-scale daily nutrient simulation using a process-model-informed graph attention network with multi-source data integration.

Water research
Water-quality management requires high-frequency monitoring data, which remains challenging, especially in watersheds exhibit pronounced spatial heterogeneity and sparse monitoring stations. To address this gap, this study proposes a Process-Model-In... read more 

Spectral CT-derived extracellular volume fraction for pathological characterization and noninvasive T staging in colon cancer.

European journal of radiology
OBJECTIVES: To investigate the association between the extracellular volume fraction (ECV) quantified by spectral CT and multiparameter pathological features (Ki-67, mismatch repair status, WHO Grade, Perineural/Lymphovascular Invasion, pT/pN Stage) ... read more 

Utilising unsupervised machine learning to predict outbreaks of respiratory tract infections in acute Irish hospitals (2016-2021).

Public health in practice (Oxford, England)
OBJECTIVES: To apply unsupervised machine learning (ML) to predict outbreaks of respiratory tract infections (RTIs) in acute Irish hospitals (2016-2021). STUDY DESIGN: A retrospective study. METHODS: RTIs data was extracted from Irish hospital inpati... read more 

VDzSL: A synthetic video dataset for Algerian sign language using 3D avatars.

Data in brief
Video datasets are crucial for advancing communication technologies for deaf and hard-of-hearing individuals. Despite that, extensive datasets are not available for the majority of sign languages due to the ample work required to capture, clean, orga... read more 

Agentic memory-augmented retrieval and evidence grounding for medical question-answering tasks.

International journal of medical informatics
OBJECTIVE: To evaluate whether a tool-using agent-based system built on large language models (LLMs) outperforms standalone LLMs on medical question-answering tasks. METHODS: We developed a unified, open-source LLM-based agentic system that integrate... read more 

Implicit neural representation for sparse-view photoacoustic computed tomography.

Ultrasonics
High-quality imaging in photoacoustic computed tomography (PACT) requires a high-channel count system for dense spatial sampling to avoid aliasing-related artifacts. To reduce system complexity, various image reconstruction approaches, such as model-... read more 

Factors Associated with Machine Learning-Based Predictions of Retinal Aging Using Teleretinal Screening Images from Patients with Diabetes.

Ophthalmology science
PURPOSE: To identify factors associated with accelerated retinal aging based on machine learning predictions of age using fundus images from teleretinal screening of patients with diabetes. DESIGN: Cross-sectional study of retinal images. SUBJECTS: T... read more 

Accurate somatic variant detection from formalin fixed, paraffin embedded tissue (FFPE) derived WES and WGS by DeepOmicsFFPE-PLUS, a sequence context-based transformer

bioRxiv
Formalin-fixed paraffin-embedded (FFPE) tissues represent a vast archival resource for genomic studies, yet their utility remains constrained by fixation-induced DNA damage and subsequent sequencing artifacts. To comprehensively characterize and addr... read more