Artificial Intelligence Medical Compendium

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

Showing 40,641 to 40,650 of 223,737 articles

From tool to teammate in a randomized controlled trial of clinician-AI collaborative workflows for diagnosis.

NPJ digital medicine
Early studies of large language models (LLMs) in clinical settings have largely treated artificial intelligence (AI) as a tool rather than an active collaborator. As LLMs demonstrate expert-level diagnostic performance, the focus shifts from whether ... read more 

A novel hybrid customized color correction and Recurrent Convolutional Neural Networks approach for underwater image enhancement.

Scientific reports
Underwater imaging suffers from various challenges such as color distortion, low contrast, and reduced visibility caused by light attenuation. Addressing these issues is crucial for improving the performance of computer vision tasks in underwater env... read more 

Multimodal sentiment analysis: hybrid classification model with image and text feature descriptors.

Scientific reports
Understanding human emotions across multiple modalities such as text and images, is increasingly important for applications including content personalization, social media analysis, and Human-Computer Interaction (HCI). Conventional sentiment analysi... read more 

Spatiotemporal prediction of chlorophyll-a in semi-enclosed gulfs using a hybrid graph neural network-transformer framework with satellite data and causal analysis.

Scientific reports
Accurate monitoring and prediction of Chlorophyll-a (Chl-a) concentrations are critical for protecting desalination systems from algal blooms. This study presents an advanced framework employing the Graph Neural Network Transformer Model (GNN-T) to p... read more 

Artificial intelligence-guided design of LNPs for in vivo targeted mRNA delivery via analysis of the spatial conformation of ionizable lipids.

Nature biomedical engineering
Efficient mRNA delivery to specific tissues requires optimized ionizable lipids, yet the role of lipid spatial conformation in organ targeting and endosomal escape remains underexplored. Here we developed a library of lipids with diverse amino heads,... read more 

Accelerating discovery of MOFs for hydrogen storage via machine learning in energy related applications.

Scientific reports
Hydrogen is a promising clean energy carrier, but its low energy density necessitates advanced storage solutions. Metal-Organic Frameworks (MOFs) offer high tunability and porosity for efficient hydrogen adsorption. This work combines Grand Canonical... read more 

Multi-plane vision transformer for hemorrhage classification using axial and sagittal MRI data.

Scientific reports
Identifying brain hemorrhages from magnetic resonance imaging (MRI) is a critical task for healthcare professionals. The diverse nature of MRI acquisitions with varying contrasts and orientation introduces complexity in identifying hemorrhage using n... read more 

An early detection framework for young Chinese learners at risk of reading difficulty using fNIRS and deep learning.

Scientific reports
Reading difficulty (RD), a neurodevelopmental disorder affecting language acquisition in children, necessitates early screening for effective educational interventions. This study proposes the RD-risk Classifier (RDr-C), a novel framework integrating... read more