AIMC Topic: Multicenter Studies as Topic

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Development of a system based on artificial intelligence to identify visual problems in children: study protocol of the TrackAI project.

BMJ open Feb 17, 2020
INTRODUCTION: Around 70% to 80% of the 19 million visually disabled children in the world are due to a preventable or curable disease, if detected early enough. Vision screening in childhood is an evidence-based and cost-effective way to detect visua...
Artificial Intelligence Infant Adolescent Child, Preschool Child Humans Cost-Benefit Analysis Clinical Trials as Topic Asia Amblyopia Vision Screening Smartphone United States Europe Multicenter Studies as Topic Vision Disorders
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Right Dose Right Now: bedside data-driven personalized antibiotic dosing in severe sepsis and septic shock - rationale and design of a multicenter randomized controlled superiority trial.

Trials Dec 18, 2019
BACKGROUND: Antibiotic exposure is often inadequate in critically ill patients with severe sepsis or septic shock and this is associated with worse outcomes. Despite markedly altered and rapidly changing pharmacokinetics in these patients, guidelines...
Humans Artificial Intelligence Male Severity of Illness Index Big Data Shock, Septic Treatment Outcome Research Design Anti-Bacterial Agents Intensive Care Units Female Adult Netherlands Dose-Response Relationship, Drug Kaplan-Meier Estimate Equivalence Trials as Topic Multicenter Studies as Topic Randomized Controlled Trials as Topic Drug Monitoring
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Effectiveness of a chat-bot for the adult population to quit smoking: protocol of a pragmatic clinical trial in primary care (Dejal@).

BMC medical informatics and decision making Dec 3, 2019
BACKGROUND: The wide scale and severity of consequences of tobacco use, benefits derived from cessation, low rates of intervention by healthcare professionals, and new opportunities stemming from novel communications technologies are the main factors...
Smoking Cessation Cell Phone Software Pragmatic Clinical Trials as Topic Female Adult Humans Male Mobile Applications Artificial Intelligence Primary Health Care Multicenter Studies as Topic Telemedicine Smoking Spain
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Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning.

Medical image analysis Oct 15, 2019
CT Perfusion (CTP) imaging has gained importance in the diagnosis of acute stroke. Conventional perfusion analysis performs a deconvolution of the measurements and thresholds the perfusion parameters to determine the tissue status. We pursue a data-d...
Cerebral Infarction Datasets as Topic Cerebral Angiography Multicenter Studies as Topic Randomized Controlled Trials as Topic Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Humans Tomography, X-Ray Computed Female Aged Male Middle Aged Deep Learning
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Machine learning for prediction of sudden cardiac death in heart failure patients with low left ventricular ejection fraction: study protocol for a retroprospective multicentre registry in China.

BMJ open May 16, 2019
INTRODUCTION: Left ventricular ejection fraction (LVEF) ≤35%, as current significant implantable cardioverter-defibrillator (ICD) indication for primary prevention of sudden cardiac death (SCD) in heart failure (HF) patients, has been widely recognis...
Heart Failure Death, Sudden, Cardiac Ventricular Function, Left Stroke Volume China Multicenter Studies as Topic Registries Machine Learning Research Design Prospective Studies Retrospective Studies Humans
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Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study.

The Lancet. Oncology Apr 2, 2019
BACKGROUND: The Response Assessment in Neuro-Oncology (RANO) criteria and requirements for a uniform protocol have been introduced to standardise assessment of MRI scans in both clinical trials and clinical practice. However, these criteria mainly re...
Humans Neural Networks, Computer Databases, Factual Retrospective Studies Female Randomized Controlled Trials as Topic Clinical Trials, Phase II as Topic Predictive Value of Tests Diagnosis, Computer-Assisted Reproducibility of Results Workflow Image Interpretation, Computer-Assisted Time Factors Brain Neoplasms Tumor Burden Automation Treatment Outcome Male Germany Magnetic Resonance Imaging Disease Progression Clinical Trials, Phase III as Topic Multicenter Studies as Topic
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Artificial Intelligence in Nuclear Cardiology.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Mar 29, 2019
Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Cardiology Nuclear Medicine Risk Assessment Deep Learning Image Processing, Computer-Assisted Multicenter Studies as Topic Diagnostic Imaging Artificial Intelligence Machine Learning Algorithms Prognosis Humans
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Machine learning in whole-body MRI: experiences and challenges from an applied study using multicentre data.

Clinical radiology Feb 23, 2019
Machine learning is now being increasingly employed in radiology to assist with tasks such as automatic lesion detection, segmentation, and characterisation. We are currently involved in an National Institute of Health Research (NIHR)-funded project,...
Magnetic Resonance Imaging Observational Studies as Topic Multicenter Studies as Topic Whole Body Imaging Humans Machine Learning Algorithms Neoplasms
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Post prostatectomy outcomes of patients with high-risk prostate cancer treated with neoadjuvant androgen blockade.

Prostate cancer and prostatic diseases Dec 20, 2017
BACKGROUND: Patients with high-risk prostate cancer have an increased likelihood of experiencing a relapse following radical prostatectomy (RP). We previously conducted three neoadjuvant androgen-deprivation therapy (ADT) trials prior to RP in unfavo...
Prostatic Neoplasms Treatment Outcome Androgen Antagonists Humans Neoplasm Staging Neoadjuvant Therapy Neoplasm Recurrence, Local Aged Prostate-Specific Antigen Follow-Up Studies Disease-Free Survival Male Prostate Multicenter Studies as Topic Prostatectomy Middle Aged Randomized Controlled Trials as Topic Kallikreins
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Multi-center machine learning in imaging psychiatry: A meta-model approach.

NeuroImage Apr 17, 2017
One of the biggest problems in automated diagnosis of psychiatric disorders from medical images is the lack of sufficiently large samples for training. Sample size is especially important in the case of highly heterogeneous disorders such as schizoph...
Magnetic Resonance Imaging Multicenter Studies as Topic Humans Neuroimaging Schizophrenia Female Datasets as Topic Male Pattern Recognition, Automated Support Vector Machine
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