AIMC Topic: Follow-Up Studies

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Machine learning-assisted prediction of trabeculectomy outcomes among patients of juvenile glaucoma by using 5-year follow-up data.

Indian journal of ophthalmology Mar 8, 2024
OBJECTIVE: To develop machine learning (ML) models, using pre and intraoperative surgical parameters, for predicting trabeculectomy outcomes in the eyes of patients with juvenile-onset primary open-angle glaucoma (JOAG) undergoing primary surgery.
Retrospective Studies Female Young Adult Adult Intraocular Pressure Humans Machine Learning Treatment Outcome Follow-Up Studies Glaucoma, Open-Angle Gonioscopy Trabeculectomy Male Adolescent Time Factors Child ROC Curve
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Development and external validation of a machine learning model for prediction of survival in extremity leiomyosarcoma.

Surgical oncology Mar 7, 2024
PURPOSE: Machine learning (ML) models have been used to predict cancer survival in several sarcoma subtypes. However, none have investigated extremity leiomyosarcoma (LMS). ML is a powerful tool that has the potential to better prognosticate extremit...
Leiomyosarcoma Extremities Humans Prognosis Machine Learning Female Survival Rate Aged Male Adult Middle Aged Follow-Up Studies SEER Program
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Predicting the Rapid Progression of Mild Cognitive Impairment by Intestinal Flora and Blood Indicators through Machine Learning Method.

Neuro-degenerative diseases Feb 28, 2024
INTRODUCTION: The aim of the work was to establish a prediction model of mild cognitive impairment (MCI) progression based on intestinal flora by machine learning method.
Gastrointestinal Microbiome Humans Aged Machine Learning Follow-Up Studies Male Biomarkers Middle Aged Female Disease Progression Cognitive Dysfunction
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Biopsy or Follow-up: AI Improves the Clinical Strategy of US BI-RADS 4A Breast Nodules Using a Convolutional Neural Network.

Clinical breast cancer Feb 20, 2024
OBJECTIVES: To develop predictive nomograms based on clinical and ultrasound features and to improve the clinical strategy for US BI-RADS 4A lesions.
Ultrasonography, Mammary Breast Humans ROC Curve Neural Networks, Computer Nomograms Retrospective Studies Aged Follow-Up Studies Female Biopsy Adult Breast Neoplasms Middle Aged Deep Learning
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Prediction of Visual Field Progression with Baseline and Longitudinal Structural Measurements Using Deep Learning.

American journal of ophthalmology Feb 12, 2024
PURPOSE: Identifying glaucoma patients at high risk of progression based on widely available structural data is an unmet task in clinical practice. We test the hypothesis that baseline or serial structural measures can predict visual field (VF) progr...
Nerve Fibers Optic Disk Retinal Ganglion Cells Visual Fields Visual Field Tests Follow-Up Studies Vision Disorders Area Under Curve Tomography, Optical Coherence Optic Nerve Diseases Glaucoma, Open-Angle Retrospective Studies Female Aged Intraocular Pressure Humans Male Middle Aged Glaucoma Disease Progression Algorithms Deep Learning ROC Curve
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A multi-label transformer-based deep learning approach to predict focal visual field progression.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Feb 9, 2024
PURPOSE: Tracking functional changes in visual fields (VFs) through standard automated perimetry remains a clinical standard for glaucoma diagnosis. This study aims to develop and evaluate a deep learning (DL) model to predict regional VF progression...
Retrospective Studies Female Aged Male Middle Aged Humans Glaucoma Optic Disk Disease Progression Visual Fields Deep Learning Visual Field Tests ROC Curve Follow-Up Studies
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Artificial intelligence-adjudicated spatiotemporal dispersion: A patient-unique fingerprint of persistent atrial fibrillation.

Heart rhythm Jan 11, 2024
BACKGROUND: Spatiotemporal dispersion-guided ablation is a tailored approach for patients in persistent atrial fibrillation (PsAF). The characterization of dispersion extent and distribution and its association with common clinical descriptors of PsA...
Humans Catheter Ablation Middle Aged Artificial Intelligence Electrocardiography Female Follow-Up Studies Aged Heart Conduction System Male Atrial Fibrillation
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Suitability of machine learning for atrophy and fibrosis development in neovascular age-related macular degeneration.

Acta ophthalmologica Dec 22, 2023
PURPOSE: To assess the suitability of machine learning (ML) techniques in predicting the development of fibrosis and atrophy in patients with neovascular age-related macular degeneration (nAMD), receiving anti-VEGF treatment over a 36-month period.
Fundus Oculi Vascular Endothelial Growth Factor A Fibrosis Intravitreal Injections Fluorescein Angiography Ranibizumab Wet Macular Degeneration Atrophy Male Angiogenesis Inhibitors Follow-Up Studies Visual Acuity Tomography, Optical Coherence Retrospective Studies Female Aged Aged, 80 and over Humans Machine Learning
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Automatic deep learning-based pleural effusion segmentation in lung ultrasound images.

BMC medical informatics and decision making Nov 29, 2023
BACKGROUND: Point-of-care lung ultrasound (LUS) allows real-time patient scanning to help diagnose pleural effusion (PE) and plan further investigation and treatment. LUS typically requires training and experience from the clinician to accurately int...
Humans Lung Algorithms Deep Learning Follow-Up Studies Pleural Effusion
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Predicting Visual Acuity Responses to Anti-VEGF Treatment in the Comparison of Age-related Macular Degeneration Treatments Trials Using Machine Learning.

Ophthalmology. Retina Nov 24, 2023
PURPOSE: To evaluate multiple machine learning (ML) models for predicting 2-year visual acuity (VA) responses to anti-vascular endothelial growth factor (anti-VEGF) treatment in the Comparison of Age-related Macular Degeneration (AMD) Treatments Tria...
Male ROC Curve Angiogenesis Inhibitors Treatment Outcome Follow-Up Studies Visual Acuity Ranibizumab Machine Learning Tomography, Optical Coherence Humans Female Wet Macular Degeneration Vascular Endothelial Growth Factor A Aged Bevacizumab Intravitreal Injections Aged, 80 and over
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