Artificial Intelligence Medical Compendium

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

Showing 10,351 to 10,360 of 209,311 articles

A clinical neuroimaging platform for rapid, automated lesion detection and personalized post-stroke outcome prediction.

NPJ digital medicine
Accurately predicting long-term outcomes after stroke remains a key challenge in personalized medicine. Here, we present a neuroimaging platform that forecasts individualized cognitive outcomes in patients with ischemic stroke using deep learning-bas... read more 

Accurate quantification in proteomics with QuantUMS.

Nature biotechnology
In mass-spectrometry-based proteomics it remains challenging to ensure the accuracy of protein quantities. Here we introduce QuantUMS (quantification using an uncertainty-minimizing solution), a machine learning-based method that dynamically tunes th... read more 

Retinal graph neural network for segmentation of retinal vasculature and foveal avascular zone from OCTA images.

Biomedizinische Technik. Biomedical engineering
OBJECTIVES: Diabetic Retinopathy (DR) causes major vision loss, requiring precise segmentation of retinal vessels and the Foveal Avascular Zone (FAZ). Accurate structural masks enable quantitative biomarkers that support early diagnosis and long-term... read more 

Deep neural networks to predict foraging behaviour: saltwater immersion data can accurately predict diving in seabirds.

Journal of the Royal Society, Interface
The accurate identification of foraging locations is critical for wildlife conservation. While remote sensing and biologging devices provide much of the necessary data, their deployment is often complicated by factors such as weight, battery life and... read more 

Perception in action: a robotic system that can teach itself to melodiously play music by ear.

Journal of the Royal Society, Interface
Learning to imitate nuanced motor behaviour by perceiving someone's actions is a human ability central to non-verbal communication, interaction and collaboration. Despite extensive psychophysics research, robotic systems do not yet seamlessly bridge ... read more 

Uncertainty estimation and probabilistic skull shape reconstruction using bayesian neural networks.

Scientific reports
3D shape reconstruction is an active area of research and a fundamental problem in computer vision, with growing applications in the medical domain, where it enables the recovery of missing or fine anatomical structures. Numerous approaches have been... read more 

Psychological distress in cancer survivors: a population-based analysis and machine learning-based risk stratification.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
PURPOSE: As the number of cancer survivors increases, psychological distress has become an important issue. Using nationally representative data, we evaluated mental health outcomes among Korean cancer survivors compared with cancer-free controls and... read more 

Emotion correction for weibo users via weakly supervised learning and semantic understanding.

iScience
With the fast pace of modern society, individuals are facing increasing psychological stress and emotional challenges. As an important platform for public emotional expression, Weibo contains extensive textual data reflecting users' emotional states.... read more 

Deep learning unlocks sequence-divergent synthetic promoters to empower Streptomyces natural product engineering.

Metabolic engineering
Streptomyces are renowned for their unparalleled capacity to produce bioactive natural products, making them prime candidates for industrial antibiotic manufacturing. However, Streptomyces lags behind E. coli and yeast in genetic tool development, as... read more