Artificial Intelligence Medical Compendium

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

Showing 42,761 to 42,770 of 223,853 articles

Silent Signals: The Expanding Role of Cell-Free DNA in Women's Health, Pregnancy, and Reproductive Medicine.

DNA and cell biology
Cell-free DNA (cfDNA) is an emerging biomarker detectable in various bodily fluids, with promising implications across a wide range of clinical domains. Its minimally invasive nature, short half-life, and ability to reflect tissue-specific genetic an... read more 

Optimizing Diagnostic Accuracy of Clinical Red Flags in RASopathies.

American journal of medical genetics. Part A
RASopathies are a group of genetic disorders caused by pathogenic variants in the RAS-mitogen-activated protein kinase (RAS-MAPK) signaling pathway, often presenting with congenital heart defects, craniofacial dysmorphisms, and developmental delays. ... read more 

A Machine Learning Approach to Predict Functional Performance From Measurable Protein Structural Characteristics: A Screening Tool for Protein Ingredient Quality.

Proteins
The food industry is witnessing the emergence of specialized protein-based functional ingredients for the use as gelling, thickening, and/or emulsifying agents in various food applications. Different sources of protein including species and cultivars... read more 

LightIN: a versatile silicon-integrated photonic field programmable gate array with an intelligent configuration framework for next-generation AI clusters.

Light, science & applications
Artificial Intelligence models pose serious challenges to intensive computing and high-bandwidth communication for conventional electronic circuit-based computing clusters. Silicon photonic technologies, due to their high speed, low latency, large ba... read more 

A high-resolution spatiotemporal wildfire propagation dataset for the Mediterranean and Europe.

Scientific data
Wildfires are becoming more frequent and severe under the influence of climate change, posing increasing risks to ecosystems, human health, and infrastructure. Accurate spatiotemporal data on wildfire propagation is essential for advancing fire behav... read more 

SMC-LUD:Large-Scale B-Mode Liver Ultrasound Dataset for Hepatocellular Carcinoma and Hemangioma Classification.

Scientific data
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality globally, and accurate classification of liver lesions using ultrasound remains challenging. We present SMC-LUD (Samsung Medical Center - Liver Ultrasound Dataset), a publi... read more 

A map of high-altitude wetlands in the world's major mountain regions.

Scientific data
We present a first global high-resolution map (30 m x 30 m) of high-altitudinal wetlands in the world's major mountain regions, i.e. the Andes, Rocky Mountains, Alps and High Mountain Asia. To map these wetlands, we employed a supervised classificati... read more 

A lightweight transformer-based hybrid encoder-decoder model for chest X-ray medical report generation.

Scientific reports
Diagnosing diseases from medical images and reporting them at the paragraph level is a significant challenge for deep learning-based autonomous systems. Existing work primarily focuses on achieving high accuracy, often paying less attention to the co... read more 

A crystal graph to vector approach for predicting magnetic properties.

Scientific reports
We introduce CG-Vec, a crystal graph-to-vector framework that replaces iterative message passing with compact, interpretable descriptors coupled to conventional machine learning. Across diverse datasets, CG-Vec matches the accuracy of deep graph netw... read more