AIMC Topic: Deep Learning

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Development and validation of a CT-based deep learning algorithm to augment non-invasive diagnosis of idiopathic pulmonary fibrosis.

Respiratory medicine Oct 13, 2023
RATIONALE: Non-invasive diagnosis of idiopathic pulmonary fibrosis (IPF) involves identification of usual interstitial pneumonia (UIP) pattern by computed tomography (CT) and exclusion of other known etiologies of interstitial lung disease (ILD). How...
Lung Retrospective Studies Deep Learning Tomography, X-Ray Computed Idiopathic Pulmonary Fibrosis Lung Diseases, Interstitial Humans Algorithms
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A real-time deep learning-based system for colorectal polyp size estimation by white-light endoscopy: development and multicenter prospective validation.

Endoscopy Oct 12, 2023
BACKGROUND: The choice of polypectomy device and surveillance intervals for colorectal polyps are primarily decided by polyp size. We developed a deep learning-based system (ENDOANGEL-CPS) to estimate colorectal polyp size in real time.
Deep Learning Humans Colonic Polyps Colorectal Neoplasms Colonoscopy
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Transformer-based deep learning models for adsorption capacity prediction of heavy metal ions toward biochar-based adsorbents.

Journal of hazardous materials Oct 12, 2023
Biochar adsorbents synthesized from food and agricultural wastes are commonly applied to eliminate heavy metal (HM) ions from wastewater. However, biochar's diverse characteristics and varied experimental conditions make the accurate estimation of th...
Deep Learning Adsorption Ions Charcoal Metals, Heavy
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The use of deep learning enables high diagnostic accuracy in detecting syndesmotic instability on weight-bearing CT scanning.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Oct 12, 2023
PURPOSE: Delayed diagnosis of syndesmosis instability can lead to significant morbidity and accelerated arthritic change in the ankle joint. Weight-bearing computed tomography (WBCT) has shown promising potential for early and reliable detection of i...
Weight-Bearing Tomography, X-Ray Computed Ankle Injuries Deep Learning Joint Instability Ankle Joint Humans Retrospective Studies
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Unsupervised deep learning registration model for multimodal brain images.

Journal of applied clinical medical physics Oct 12, 2023
Multimodal image registration is a key for many clinical image-guided interventions. However, it is a challenging task because of complicated and unknown relationships between different modalities. Currently, deep supervised learning is the state-of-...
Neural Networks, Computer Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Deep Learning Humans
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Deep Learning Approach for Differentiating Etiologies of Pediatric Retinal Hemorrhages: A Multicenter Study.

International journal of molecular sciences Oct 12, 2023
Retinal hemorrhages in pediatric patients can be a diagnostic challenge for ophthalmologists. These hemorrhages can occur due to various underlying etiologies, including abusive head trauma, accidental trauma, and medical conditions. Accurate identif...
Humans Artificial Intelligence Deep Learning Fundus Oculi Retinal Hemorrhage Child ROC Curve
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Naive Prediction of Protein Backbone Phi and Psi Dihedral Angles Using Deep Learning.

Molecules (Basel, Switzerland) Oct 12, 2023
Protein structure prediction represents a significant challenge in the field of bioinformatics, with the prediction of protein structures using backbone dihedral angles recently achieving significant progress due to the rise of deep neural network re...
Neural Networks, Computer Amino Acid Sequence Protein Structure, Secondary Deep Learning Proteins
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Deep Learning Image Reconstruction Algorithm for CCTA: Image Quality Assessment and Clinical Application.

Journal of computer assisted tomography Oct 11, 2023
OBJECTIVE: The increasing number of coronary computed tomography angiography (CCTA) requests raised concerns about dose exposure. New dose reduction strategies based on artificial intelligence have been proposed to overcome limitations of iterative r...
Algorithms Prospective Studies Reproducibility of Results Humans Artificial Intelligence Radiographic Image Interpretation, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Radiation Dosage Computed Tomography Angiography
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Editorial for "Magnetic Resonance Deep Learning Radiomic Model Based on Distinct Metastatic Vascular Patterns for Evaluating Recurrence-Free Survival in Hepatocellular Carcinoma".

Journal of magnetic resonance imaging : JMRI Oct 11, 2023
Image Processing, Computer-Assisted Magnetic Resonance Imaging Neoplasm Recurrence, Local Disease-Free Survival Humans Deep Learning Liver Radiomics Liver Neoplasms Carcinoma, Hepatocellular
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Editorial for "Automated Breast Density Assessment in MRI Using Deep Learning and Radiomics: Strategies for Reducing Inter-Observer Variability".

Journal of magnetic resonance imaging : JMRI Oct 11, 2023
Observer Variation Breast Density Radiomics Deep Learning Magnetic Resonance Imaging Breast Image Processing, Computer-Assisted Reproducibility of Results Breast Neoplasms Humans Female
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