Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

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A machine-learning-guided hydrogen-bonded organic framework for long-term, ultrasound-triggered pain therapy

Effective treatment of chronic pain remains hindered by the lack of drug delivery systems that simul...

Explainable machine learning-assisted exploration of chromatin dynamics reveals chromosome-specific response to serum starvation

Chromatin is dynamic at all length scales, influencing chromatin-based processes, such as gene expre...

Low-dimensional brain-symptom associations delineate depression phenotypes with distinct connectivity biomarkers and symptom profiles

Depression is neurobiologically and clinically heterogeneous. New approaches using resting-state fun...

Photoacoustics-guided Real-Time Closed-loop Control of Magnetic Microrobots through Deep Learning

Medical microrobots promise to increase the efficacy and reduce the invasiveness of certain medical ...

A systematic protocol to identify “clinical controls” for pediatric neuroimaging research from clinically acquired brain MRIs

Progress at the intersection of artificial intelligence and pediatric neuroimaging necessitates larg...

Deep Learning for Predicting Stem Cell Efficiency for use in Beta Cell Differentiation

Recent clinical trial data have shown that cell therapy holds curative potential for type-1 diabetes...

Imagined Speech Reconstruction with 3D Neural Metabolism and Large Language Model Integration

Cognitive linguistics posits that language underpins human thought, and this principle has influence...

An Explainable Web-Based Diagnostic System for Alzheimer’s Disease Using XRAI and Deep Learning on Brain MRI

Background Alzheimer’s disease (AD) is a progressive neurodegenerative condition marked by cognitive...

MR-AIV reveals in vivo brain-wide fluid flow with physics-informed AI

The circulation of cerebrospinal and interstitial fluid plays a vital role in clearing metabolic was...

OmniShim - a vendor-independent B0 Shimming software toolbox

To introduce the OmniShim Toolbox, a software package designed to calibrate and perform B0 shimming ...

The Use of Artificial Intelligence In Magnetic Resonance Imaging of Epilepsy: A Systematic Review and Meta-Analysis

The application of artificial intelligence (AI)/machine learning (ML) to MRI can be a powerful tool ...

Alzheimer’s subtypes A supervised, unsupervised, multimodal, multilayered embedded recursive (SUMMER) AI study

Since Alzheimer’s disease (AD) is a heterogeneous disease, different subtypes may have distinct biol...

RAVEN: Robust, generalizable, multi-resolution structural MRI upsampling using Autoencoders

Due to their high inter-tissue contrast, Magnetic resonance images (MRIs) can reflect neuroanatomica...

Uncovering genetic architecture of the heart via genetic association studies of unsupervised deep learning derived endophenotypes

Recent genome-wide association studies (GWAS) have effectively linked genetic variants to quantitati...

Graph Autoencoder and StrNN based Causal Analysis of Mortality in Heart Failure Patients

Though analyzed for decades, dissecting and finding mechanisms of cardiovascular diseases, especiall...

Fast segmentation with the NextBrain histological atlas

Structural brain analysis at the subregion level offers critical insights into healthy aging and neu...

Evaluation of Deep Learning Algorithms to Predict Multiple Dementia-Related Neuropathologies from Brain MRI, Clinical and Genetic Data

Alzheimer’s disease and related dementias (ADRD) involve overlapping neurodegenerative and vascular ...

Improved sensory representations as a result of temporal adaptation

Human perception is robust under challenging conditions, for example when sensory inputs change over...

NucGen3D: a Synthetic Framework for Large-Scale 3D Nuclear Segmentation with Open-Source Training Data AND Models

Robust nuclear segmentation in 3D microscopy images is a critical yet unresolved challenge in quanti...

End-to-end evaluation of white matter microstructure of the visual pathway in asymmetric glaucoma

Diffusion magnetic resonance imaging is a non-invasive neuroimaging technique that enables in vivo e...

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