AIMC Topic: Multicenter Studies as Topic
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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...
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...
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...
Randomized Controlled Trials as Topic
Clinical Trials, Phase II as Topic
Predictive Value of Tests
Workflow
Tumor Burden
Time Factors
Treatment Outcome
Magnetic Resonance Imaging
Multicenter Studies as Topic
Image Interpretation, Computer-Assisted
Automation
Germany
Neural Networks, Computer
Clinical Trials, Phase III as Topic
Databases, Factual
Retrospective Studies
Female
Reproducibility of Results
Brain Neoplasms
Male
Disease Progression
Diagnosis, Computer-Assisted
Humans
Artificial Intelligence in Nuclear Cardiology.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Mar 29, 2019
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,...
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...
Kallikreins
Randomized Controlled Trials as Topic
Treatment Outcome
Humans
Prostatic Neoplasms
Neoadjuvant Therapy
Aged
Neoplasm Staging
Follow-Up Studies
Male
Prostate-Specific Antigen
Multicenter Studies as Topic
Middle Aged
Prostate
Androgen Antagonists
Neoplasm Recurrence, Local
Disease-Free Survival
Prostatectomy
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...
Renal impairment and outcome in patients with takotsubo cardiomyopathy.
The American journal of emergency medicine
Dec 23, 2015
OBJECTIVES: The objectives were to ascertain the prevalence of renal impairment among patients with a takotsubo cardiomyopathy (TTC) episode and whether clinical outcomes are related to renal function.
Establishing a multi-institutional registry to compare the outcomes of robotic, laparoscopic, and open surgery for gastric cancer.
Surgery
Jan 26, 2015
Update on the detection of frailty in older adults: a multicenter cohort machine learning-based study protocol.
Aging
May 21, 2025
BACKGROUND: This study aims to investigate the relationship between muscle activation variables assessed via ultrasound and the comprehensive assessment of geriatric patients, as well as to analyze ultrasound images to determine their correlation wit...
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