AIMC Topic: Treatment Outcome

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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...
Bundle-Branch Block Male Ventricular Function, Left Stroke Volume Middle Aged Risk Assessment Disease Progression Humans Retrospective Studies Female Predictive Value of Tests Risk Factors Signal Processing, Computer-Assisted Aged Heart Failure Cardiac Resynchronization Therapy Diagnosis, Computer-Assisted Heart-Assist Devices Time Factors Heart Transplantation Electrocardiography Treatment Outcome Unsupervised Machine Learning Recovery of Function
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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 Machine Learning Action Potentials Predictive Value of Tests Atrial Fibrillation Heart Rate Catheter Ablation Middle Aged Proof of Concept Study Organometallic Compounds Risk Assessment Retrospective Studies Recurrence Diagnosis, Computer-Assisted Female Models, Cardiovascular Treatment Outcome Reproducibility of Results Patient-Specific Modeling Contrast Media Risk Factors Pulmonary Veins Magnetic Resonance Imaging Aged Meglumine Male
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Can robotic gait rehabilitation plus Virtual Reality affect cognitive and behavioural outcomes in patients with chronic stroke? A randomized controlled trial involving three different protocols.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jun 13, 2020
BACKGROUND: The rehabilitation of cognitive and behavioral abnormalities in individuals with stroke is essential for promoting patient's recovery and autonomy. The aim of our study is to evaluate the effects of robotic neurorehabilitation using Lokom...
Chronic Disease Executive Function Quality of Life Robotics Time Factors Exercise Therapy Humans Disability Evaluation Cognition Attention Female Italy Treatment Outcome Activities of Daily Living Adult Stroke Health Status Affect Mental Health Gait Recovery of Function Virtual Reality Exposure Therapy Male Stroke Rehabilitation Middle Aged
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Translating big data to better treatment in bipolar disorder - a manifesto for coordinated action.

European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology Jun 12, 2020
Bipolar disorder (BD) is a major healthcare and socio-economic challenge. Despite its substantial burden on society, the research activity in BD is much smaller than its economic impact appears to demand. There is a consensus that the accurate identi...
Treatment Outcome Translational Research, Biomedical Clinical Trials as Topic Humans Machine Learning Global Health Big Data Bipolar Disorder
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Retzius-sparing Robot-assisted Radical Prostatectomy Leads to Durable Improvement in Urinary Function and Quality of Life Versus Standard Robot-assisted Radical Prostatectomy Without Compromise on Oncologic Efficacy: Single-surgeon Series and Step-by-step Guide.

European urology Jun 11, 2020
BACKGROUND: Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) has been shown to improve continence. However, questions remain regarding feasibility and generalizability of technique and outcomes.
Surgeons Quality of Life Treatment Outcome Robotics Prostatic Neoplasms Robotic Surgical Procedures Prostate Prostatectomy Margins of Excision Urinary Incontinence Humans Retrospective Studies Male
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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).
Deep Learning Glycolysis Treatment Outcome Squamous Cell Carcinoma of Head and Neck Predictive Value of Tests Positron Emission Tomography Computed Tomography Neoplasm Staging Mouth Neoplasms Disease-Free Survival Tumor Burden Fluorodeoxyglucose F18 Kaplan-Meier Estimate Aged, 80 and over Adult Sensitivity and Specificity Humans Male Algorithms Middle Aged Retrospective Studies Diagnosis, Computer-Assisted Female Reproducibility of Results Aged
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Inpatient stroke rehabilitation: prediction of clinical outcomes using a machine-learning approach.

Journal of neuroengineering and rehabilitation Jun 10, 2020
BACKGROUND: In clinical practice, therapists often rely on clinical outcome measures to quantify a patient's impairment and function. Predicting a patient's discharge outcome using baseline clinical information may help clinicians design more targete...
Aged, 80 and over Young Adult Adult Male Middle Aged United States Humans Machine Learning Female Aged Treatment Outcome Inpatients Stroke Outcome Assessment, Health Care Stroke Rehabilitation
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Using Artificial Intelligence to Predict Surgical Shunts in Men with Ischemic Priapism.

The Journal of urology Jun 9, 2020
PURPOSE: Ischemic priapism is a urological emergency that requires prompt intervention to preserve erectile function. Characteristics that influence escalation to surgical intervention remain unclear. We identified factors and developed machine learn...
Adult Male Middle Aged Risk Assessment Adolescent Time Factors Humans Machine Learning Retrospective Studies Aged Aged, 80 and over Young Adult Erectile Dysfunction Penis Likelihood Functions Penile Erection Emergency Treatment Priapism Urologic Surgical Procedures, Male Treatment Outcome Models, Statistical Emergency Service, Hospital Anastomosis, Surgical Phenylephrine Paracentesis
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Artificial intelligence for interpretation of segments of whole body MRI in CNO: pilot study comparing radiologists versus machine learning algorithm.

Pediatric rheumatology online journal Jun 9, 2020
BACKGROUND: To initiate the development of a machine learning algorithm capable of comparing segments of pre and post pamidronate whole body MRI scans to assess treatment response and to compare the results of this algorithm with the analysis of a pa...
Treatment Outcome Support Vector Machine Magnetic Resonance Imaging Chronic Disease Radiologists Image Interpretation, Computer-Assisted Artificial Intelligence Tibia Machine Learning Bone Density Conservation Agents Sensitivity and Specificity Humans Femur Disease Progression Whole Body Imaging Pilot Projects Osteitis Adolescent Pamidronate
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Radiomics in neuro-oncology: Basics, workflow, and applications.

Methods (San Diego, Calif.) Jun 6, 2020
Over the last years, the amount, variety, and complexity of neuroimaging data acquired in patients with brain tumors for routine clinical purposes and the resulting number of imaging parameters have substantially increased. Consequently, a timely and...
Deep Learning Image Processing, Computer-Assisted Treatment Outcome Workflow Models, Biological Medical Oncology Humans Brain Prognosis Biomarkers, Tumor Brain Neoplasms Risk Assessment Neuroimaging Neurology
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