Radiology

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

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Digital removal of dermal denticle layer using geometric AI from 3D CT scans of shark craniofacial structures enhances anatomical precision.

Craniofacial morphometrics in sharks provide crucial insights into evolutionary history, geographica...

FPA-based weighted average ensemble of deep learning models for classification of lung cancer using CT scan images.

Cancer is among the most dangerous diseases contributing to rising global mortality rates. Lung canc...

An interpretable deep learning approach for autism spectrum disorder detection in children using NASNet-mobile.

Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder featuring impaired soci...

Enhancing Lesion Detection in Inflammatory Myelopathies: A Deep Learning-Reconstructed Double Inversion Recovery MRI Approach.

BACKGROUND AND PURPOSE: The imaging of inflammatory myelopathies has advanced significantly across t...

A Comprehensive Review of Diagnostic Approaches to Vocal Fold Paralysis Using Artificial Intelligence.

Vocal fold paralysis, a condition caused by nerve damage, leads to impaired vocal fold movement, imp...

Direct parametric reconstruction in dynamic PET using deep image prior and a novel parameter magnification strategy.

BACKGROUND/PURPOSE: Multiple parametric imaging in positron emission tomography (PET) is challenging...

Current AI technologies in cancer diagnostics and treatment.

Cancer continues to be a significant international health issue, which demands the invention of new ...

Application research of artificial intelligence software in the analysis of thyroid nodule ultrasound image characteristics.

Thyroid nodule, as a common clinical endocrine disease, has become increasingly prevalent worldwide....

Ground-truth-free deep learning approach for accelerated quantitative parameter mapping with memory efficient learning.

Quantitative MRI (qMRI) requires the acquisition of multiple images with parameter changes, resultin...

Ground-State Descriptor Enables Machine Learning-Assisted Virtual Screening of AIE-Active Mechanofluorochromic Molecules with High Contrast.

Aggregation-induced emission mechanofluorochromic (AIE-MFC) molecules with high-contrast are in high...

Emerging Imaging Technologies in Forensic Medicine: A Systematic Review of Innovations, Ethical Challenges, and Future Directions.

Forensic medicine has increasingly integrated advanced imaging technologies to improve the accuracy ...

Performance of AI methods in PET-based imaging for outcome prediction in lymphoma: A systematic review and meta-analysis.

OBJECTIVES: To evaluate the predictive performance of artificial intelligence (AI) methods using pre...

Automated labeling using tracked ultrasound imaging: Application in tracking vertebrae during spine surgery.

PURPOSE: Recent advancements in machine learning (ML) allow for rapid analysis of complex image data...

Efficacy of rTMS on SCZ symptoms: Insights from connectome mapping.

Repetitive transcranial magnetic stimulation (rTMS) is a potential treatment for schizophrenia (SCZ)...

Optimizing Attenuation Correction in Ga-PSMA PET Imaging Using Deep Learning and Artifact-Free Dataset Refinement.

Attenuation correction (AC) is essential for achieving quantitatively accurate PET imaging. In Ga-P...

Explainable Artificial Intelligence in Radiological Cardiovascular Imaging-A Systematic Review.

Artificial intelligence (AI) and deep learning are increasingly applied in cardiovascular imaging. ...

Accelerated proton resonance frequency-based magnetic resonance thermometry by optimized deep learning method.

BACKGROUND: Proton resonance frequency (PRF)-based magnetic resonance (MR) thermometry plays a criti...

Dual-energy CT-based virtual monoenergetic imaging via unsupervised learning.

Since its development, virtual monoenergetic imaging (VMI) derived from dual-energy computed tomogra...

One-Drop Serum Screening Test to Monitor Tissue Iron Accumulation.

Although iron is an essential element for vital body functions, iron overload (IO) is accompanied by...

18F-FDG PET/CT Radiomics for Predicting Therapy Response in Primary Mediastinal B-Cell Lymphoma: A Bi-Centric Pilot Study.

PURPOSE: This bi-centric pilot study investigates the predictive value of pre-treatment [F]FDG PET/C...

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