Artificial Intelligence Medical Compendium

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

Showing 9,671 to 9,680 of 208,614 articles

Multimodal Genotype-Phenotype Analysis in SMARCB1-Associated Developmental Disorders.

Genetics in medicine : official journal of the American College of Medical Genetics
PURPOSE: Variants in SMARCB1, encoding a core subunit of the BAF chromatin remodeling complex, are associated with intellectual developmental disorders, particularly Coffin-Siris Syndrome (CSS), though the genotype-phenotype spectrum remains incomple... 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 

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 

Education Research: Quality of Narrative Feedback Generated by a Large Language Model Compared With Expert Faculty for Case-Based Learning in Neurology Education.

Neurology. Education
BACKGROUND AND OBJECTIVES: Neurology learners often receive limited feedback in clinical settings because of workflow constraints, variability in supervision, and competing clinical demands. Artificial intelligence, including large language models (L... read more 

Δ-Machine learning toward CCSD accuracy for homohalogenated borane-phosphine adducts: screening low-energy structures from DFT and MP2 libraries.

Physical chemistry chemical physics : PCCP
Accurate formation energies for weak boron-phosphorus Lewis adducts are challenging because low-order correlation and density-functional methods can misrank low-energy motifs on shallow potential-energy landscapes and are sensitive to basis-set super... read more