Artificial Intelligence Medical Compendium

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

Showing 37,561 to 37,570 of 223,469 articles

Machine learning survival model for personalised prevention of catheter-related thrombosis in tumour patients.

Communications medicine
BACKGROUND: Central venous catheters for drug delivery introduce catheter-related thrombosis (CRT) and influence the survival of cancer patients. The key unmet needs to personalise CRT prevention include identifying high-risk patients and optimising ... read more 

A unified deep learning framework for cross-platform harmonization of multi-tracer PET quantification in neurodegenerative disease.

NPJ digital medicine
Quantitative PET underpins diagnosis and treatment monitoring in neurodegenerative disease, yet systematic biases between PET-MRI and PET-CT preclude threshold transfer and cross-site comparability. We developed and validated the first unified, anato... read more 

An AI-powered research assistant in the lab: A practical guide for text analysis through iterative collaboration with LLMs.

Behavior research methods
Analyzing texts such as open-ended responses, headlines, or social media posts is a time- and labor-intensive process highly susceptible to bias. However, large language models (LLMs) are promising tools for text analysis, using either a predefined (... read more 

Predictive modeling and experimental validation of mechanical-microstructural relationships in 3D-printed Onyx-fibre composites.

Scientific reports
Additive Manufacturing (AM) has emerged as a revolutionary fabrication technology for producing high-performance polymer-based composite materials. Fused Filament Fabrication (FFF), a leading AM technology, facilitates the fabrication of continuous f... read more 

Inverse treatment planning using deep learning-based organs at risk in radiotherapy for head and neck cancer: a prospective planning study.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]
PURPOSE: Radiotherapy (RT) planning for head and neck squamous cell carcinoma (HNSCC) is known to be both challenging and time-consuming. Deep learning (DL)-based auto-segmentation of organs at risk (OARs) may streamline this procedure, although stud... read more 

The Dawn of PACS 3.0: The Evolution from Image Access to Workflow Intelligence.

Journal of imaging informatics in medicine
Picture Archiving and Communication Systems (PACS) have evolved over decades in response to changes in imaging technology, network and data storage infrastructure, and the scale of clinical practice. Early PACS emphasized digitization and local image... read more 

A Hybrid Multi-CNN Feature Fusion and LASSO Optimization Approach for High-Performance Breast Cancer Classification.

Journal of imaging informatics in medicine
Breast cancer remains a leading cause of mortality among women worldwide, highlighting the urgent need for accurate and early detection methods to improve survival rates. Although deep learning, particularly transfer learning with pretrained CNNs, ha... read more