AIMC Topic: Follow-Up Studies

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Risk of Developing Breast Reconstruction Complications: A Machine-Learning Nomogram for Individualized Risk Estimation with and without Postmastectomy Radiation Therapy.

Plastic and reconstructive surgery Jan 1, 2022
BACKGROUND: The purpose of this study was to create a nomogram using machine learning models predicting risk of breast reconstruction complications with or without postmastectomy radiation therapy.
Humans Aged, 80 and over Young Adult Adult Breast Neoplasms Middle Aged Machine Learning Forecasting Retrospective Studies Female Aged United States Follow-Up Studies Mastectomy Combined Modality Therapy Mammaplasty Risk Assessment Postoperative Complications Incidence Nomograms
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A MULTITASK DEEP-LEARNING SYSTEM FOR ASSESSMENT OF DIABETIC MACULAR ISCHEMIA ON OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY IMAGES.

Retina (Philadelphia, Pa.) Jan 1, 2022
PURPOSE: We aimed to develop and test a deep-learning system to perform image quality and diabetic macular ischemia (DMI) assessment on optical coherence tomography angiography (OCTA) images.
Retinal Diseases Humans Ischemia Diabetic Retinopathy Fluorescein Angiography Retrospective Studies Retinal Vessels Female Male Middle Aged Deep Learning Follow-Up Studies Tomography, Optical Coherence Fundus Oculi
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EVALUATION OF ARTIFICIAL INTELLIGENCE-BASED QUANTITATIVE ANALYSIS TO IDENTIFY CLINICALLY SIGNIFICANT SEVERE RETINOPATHY OF PREMATURITY.

Retina (Philadelphia, Pa.) Jan 1, 2022
PURPOSE: To evaluate the screening potential of a deep learning algorithm-derived severity score by determining its ability to detect clinically significant severe retinopathy of prematurity (ROP).
Humans Artificial Intelligence Algorithms Retrospective Studies Follow-Up Studies Female Retina Infant, Newborn Gestational Age Male Ophthalmoscopy Severity of Illness Index Retinopathy of Prematurity Deep Learning ROC Curve
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Development and Validation of a Natural Language Processing Algorithm to Extract Descriptors of Microbial Keratitis From the Electronic Health Record.

Cornea Dec 1, 2021
PURPOSE: The purpose of this article was to develop and validate a natural language processing (NLP) algorithm to extract qualitative descriptors of microbial keratitis (MK) from electronic health records.
Middle Aged Follow-Up Studies Natural Language Processing Eye Infections, Bacterial Electronic Health Records Female Male Keratitis Humans Algorithms Retrospective Studies
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Predicting Malignancy in Pediatric Thyroid Nodules: Early Experience With Machine Learning for Clinical Decision Support.

The Journal of clinical endocrinology and metabolism Nov 19, 2021
OBJECTIVE: To develop a machine learning tool to integrate clinical data for the prediction of non-benign thyroid cytology and histology.
Retrospective Studies Humans Thyroid Gland Thyroid Nodule Machine Learning Child Prognosis Decision Support Systems, Clinical Thyroid Neoplasms Follow-Up Studies Ultrasonography Area Under Curve Biopsy, Fine-Needle
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Relationship of age, atherosclerosis and angiographic stenosis using artificial intelligence.

Open heart Nov 1, 2021
OBJECTIVE: The study evaluates the relationship of coronary stenosis, atherosclerotic plaque characteristics (APCs) and age using artificial intelligence enabled quantitative coronary computed tomographic angiography (AI-QCT).
Coronary Stenosis Prospective Studies Predictive Value of Tests Female Severity of Illness Index Coronary Angiography Humans Aged Coronary Vessels Artificial Intelligence Incidence Male Plaque, Atherosclerotic United States Middle Aged Computed Tomography Angiography Follow-Up Studies
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Performance of a Convolutional Neural Network and Explainability Technique for 12-Lead Electrocardiogram Interpretation.

JAMA cardiology Nov 1, 2021
IMPORTANCE: Millions of clinicians rely daily on automated preliminary electrocardiogram (ECG) interpretation. Critical comparisons of machine learning-based automated analysis against clinically accepted standards of care are lacking.
Humans Neural Networks, Computer Machine Learning Algorithms Retrospective Studies Female Cross-Sectional Studies Male Cardiovascular Diseases Follow-Up Studies Heart Rate Middle Aged ROC Curve Consensus Electrocardiography
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IMPACT OF RESIDUAL SUBRETINAL FLUID VOLUMES ON TREATMENT OUTCOMES IN A SUBRETINAL FLUID-TOLERANT TREAT-AND-EXTEND REGIMEN.

Retina (Philadelphia, Pa.) Nov 1, 2021
PURPOSE: To investigate associations between residual subretinal fluid (rSRF) volumes, quantified using artificial intelligence and treatment outcomes in a subretinal fluid (SRF)-tolerant treat-and-extend (T&E) regimen in neovascular age-related macu...
Treatment Outcome Follow-Up Studies Visual Acuity Humans Tomography, Optical Coherence Fundus Oculi Artificial Intelligence Prospective Studies Angiogenesis Inhibitors Subretinal Fluid Vascular Endothelial Growth Factor A Drug Tolerance Intravitreal Injections Fluorescein Angiography Ranibizumab Wet Macular Degeneration
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Proteomics-Enabled Deep Learning Machine Algorithms Can Enhance Prediction of Mortality.

Journal of the American College of Cardiology Oct 19, 2021
BACKGROUND: Individualized risk prediction represents a prerequisite for providing personalized medicine.
Cardiovascular Diseases Middle Aged Risk Assessment Deep Learning Cohort Studies Algorithms Female Humans Aged Proteomics Neural Networks, Computer Male Follow-Up Studies Models, Cardiovascular
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[Application of Mako robot-assisted total hip arthroplasty in developmental dysplasia of the hip].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery Oct 15, 2021
OBJECTIVE: To evaluate the early effectiveness and summarize the initial application experiences of Mako robot-assisted total hip arthroplasty (THA) for developmental dysplasia of the hip (DDH) in adults.
Robotics Male Robotic Surgical Procedures Hip Dislocation, Congenital Humans Middle Aged Hip Joint Hip Prosthesis Retrospective Studies Treatment Outcome Arthroplasty, Replacement, Hip Developmental Dysplasia of the Hip Female Follow-Up Studies Adult Acetabulum
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