AIMC Topic: Predictive Value of Tests

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Deep learning model to predict visual field in central 10° from optical coherence tomography measurement in glaucoma.

The British journal of ophthalmology Jun 27, 2020
BACKGROUND/AIM: To train and validate the prediction performance of the deep learning (DL) model to predict visual field (VF) in central 10° from spectral domain optical coherence tomography (SD-OCT).
Nerve Fibers Retinal Ganglion Cells Visual Fields Visual Field Tests Gonioscopy Intraocular Pressure Male Middle Aged Deep Learning Predictive Value of Tests Tomography, Optical Coherence Humans Glaucoma Female Aged Cross-Sectional Studies
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Hypothesis-free deep survival learning applied to the tumour microenvironment in gastric cancer.

The journal of pathology. Clinical research Jun 27, 2020
The biological complexity reflected in histology images requires advanced approaches for unbiased prognostication. Machine learning and particularly deep learning methods are increasingly applied in the field of digital pathology. In this study, we p...
Humans Risk Factors Immunohistochemistry Stomach Neoplasms Time Factors Antigens, CD20 Tumor Microenvironment Cell Proliferation Ki-67 Antigen Biomarkers, Tumor Predictive Value of Tests Tissue Array Analysis Risk Assessment Antigens, CD Antigens, Differentiation, Myelomonocytic Deep Learning Neoplasm Staging CD8 Antigens Image Interpretation, Computer-Assisted
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Deep learning combined with radiomics may optimize the prediction in differentiating high-grade lung adenocarcinomas in ground glass opacity lesions on CT scans.

European journal of radiology Jun 25, 2020
PURPOSE: Adenocarcinoma (ADC) is the most common histological subtype of lung cancers in non-small cell lung cancer (NSCLC) in which ground glass opacifications (GGOs) found on computed tomography (CT) scans are the most common lesions. However, the ...
Adenocarcinoma of Lung Humans Lung Deep Learning Lung Neoplasms Diagnosis, Differential Predictive Value of Tests Prognosis Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Female Reproducibility of Results Male Middle Aged
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A machine learning-based framework for Predicting Treatment Failure in tuberculosis: A case study of six countries.

Tuberculosis (Edinburgh, Scotland) Jun 23, 2020
Tuberculosis is ranked as the 2nd deadliest disease in the world and is responsible for ten million deaths in 2017. Treatment failure is one of a main reason behind these deaths. Reasons of treatment failure are still unknown and the death rate due t...
Predictive Value of Tests Antitubercular Agents Tuberculosis Mycobacterium tuberculosis Treatment Failure Machine Learning Decision Support Techniques Reproducibility of Results Risk Factors Risk Assessment Humans Support Vector Machine Neural Networks, Computer
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Clinical-Grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning.

Gastroenterology Jun 17, 2020
BACKGROUND & AIMS: Microsatellite instability (MSI) and mismatch-repair deficiency (dMMR) in colorectal tumors are used to select treatment for patients. Deep learning can detect MSI and dMMR in tumor samples on routine histology slides faster and le...
MutL Protein Homolog 1 Neoplastic Syndromes, Hereditary Humans Mismatch Repair Endonuclease PMS2 MutS Homolog 2 Protein Female Adult Colorectal Neoplasms ROC Curve Brain Neoplasms Predictive Value of Tests Male Microsatellite Instability Middle Aged DNA-Binding Proteins Deep Learning Cohort Studies
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Lower Adenoma Miss Rate of Computer-Aided Detection-Assisted Colonoscopy vs Routine White-Light Colonoscopy in a Prospective Tandem Study.

Gastroenterology Jun 17, 2020
BACKGROUND AND AIMS: Up to 30% of adenomas might be missed during screening colonoscopy-these could be polyps that appear on-screen but are not recognized by endoscopists or polyps that are in locations that do not appear on the screen at all. Comput...
Middle Aged Colonoscopy Diagnosis, Computer-Assisted Deep Learning China Adolescent Predictive Value of Tests Colonic Neoplasms Colonic Polyps Image Interpretation, Computer-Assisted Adenomatous Polyps Missed Diagnosis Female Reproducibility of Results Aged Young Adult Adult Male Humans Prospective Studies
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Machine Learning of 12-Lead QRS Waveforms to Identify Cardiac Resynchronization Therapy Patients With Differential Outcomes.

Circulation. Arrhythmia and electrophysiology Jun 14, 2020
BACKGROUND: Cardiac resynchronization therapy (CRT) improves heart failure outcomes but has significant nonresponse rates, highlighting limitations in ECG selection criteria: QRS duration (QRSd) ≥150 ms and subjective labeling of left bundle branch b...
Ventricular Function, Left Stroke Volume Middle Aged Risk Assessment Disease Progression Diagnosis, Computer-Assisted Humans Retrospective Studies Female Risk Factors Aged Male Signal Processing, Computer-Assisted Heart Failure Cardiac Resynchronization Therapy Heart-Assist Devices Heart Transplantation Bundle-Branch Block Time Factors Electrocardiography Treatment Outcome Unsupervised Machine Learning Recovery of Function Predictive Value of Tests
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Preprocedure Application of Machine Learning and Mechanistic Simulations Predicts Likelihood of Paroxysmal Atrial Fibrillation Recurrence Following Pulmonary Vein Isolation.

Circulation. Arrhythmia and electrophysiology Jun 14, 2020
BACKGROUND: Pulmonary vein isolation (PVI) is an effective treatment strategy for patients with atrial fibrillation (AF), but many experience AF recurrence and require repeat ablation procedures. The goal of this study was to develop and evaluate a m...
Humans Meglumine Magnetic Resonance Imaging Action Potentials Predictive Value of Tests Atrial Fibrillation Male Proof of Concept Study Machine Learning Heart Rate Middle Aged Organometallic Compounds Catheter Ablation Retrospective Studies Risk Assessment Recurrence Female Diagnosis, Computer-Assisted Models, Cardiovascular Reproducibility of Results Treatment Outcome Patient-Specific Modeling Risk Factors Contrast Media Pulmonary Veins Aged
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Prospective, comparative evaluation of a deep neural network and dermoscopy in the diagnosis of onychomycosis.

PloS one Jun 11, 2020
BACKGROUND: Onychomycosis is the most common nail disorder and is associated with diagnostic challenges. Emerging non-invasive, real-time techniques such as dermoscopy and deep convolutional neural networks have been proposed for the diagnosis of thi...
Deep Learning Young Adult Mycological Typing Techniques Humans Computer Systems Adult Photography Predictive Value of Tests Neural Networks, Computer Diagnostic Errors Foot Dermatoses Dermatologists Algorithms Male Onychomycosis Hydroxides Prospective Studies Middle Aged Female Potassium Compounds Diagnosis, Computer-Assisted Dermoscopy
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Deep learning analysis using FDG-PET to predict treatment outcome in patients with oral cavity squamous cell carcinoma.

European radiology Jun 10, 2020
OBJECTIVE: To assess the utility of deep learning analysis using F-fluorodeoxyglucose (FDG) uptake by positron emission tomography (PET/CT) to predict disease-free survival (DFS) in patients with oral cavity squamous cell carcinoma (OCSCC).
Aged Aged, 80 and over Adult Sensitivity and Specificity Male Middle Aged Humans Algorithms Retrospective Studies Positron Emission Tomography Computed Tomography Female Neoplasm Staging Reproducibility of Results Mouth Neoplasms Disease-Free Survival Tumor Burden Fluorodeoxyglucose F18 Diagnosis, Computer-Assisted Kaplan-Meier Estimate Deep Learning Glycolysis Treatment Outcome Squamous Cell Carcinoma of Head and Neck Predictive Value of Tests
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