AIMC Topic: Prospective Studies
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The Diagnostic Efficacy of an App-based Diagnostic Health Care Application in the Emergency Room: eRadaR-Trial. A prospective, Double-blinded, Observational Study.
Annals of surgery
Aug 4, 2022
OBJECTIVE: To evaluate the diagnostic accuracy of the app-based diagnostic tool Ada and the impact on patient outcome in the emergency room (ER).
Automation in ART: Paving the Way for the Future of Infertility Treatment.
Reproductive sciences (Thousand Oaks, Calif.)
Aug 3, 2022
In vitro fertilisation (IVF) is estimated to account for the birth of more than nine million babies worldwide, perhaps making it one of the most intriguing as well as commoditised and industrialised modern medical interventions. Nevertheless, most IV...
Deep learning reconstruction for the evaluation of neuroforaminal stenosis using 1.5T cervical spine MRI: comparison with 3T MRI without deep learning reconstruction.
Neuroradiology
Aug 3, 2022
PURPOSE: To compare image quality and interobserver agreement in evaluations of neuroforaminal stenosis between 1.5T cervical spine magnetic resonance imaging (MRI) with deep learning reconstruction (DLR) and 3T MRI without DLR.
A Questionnaire-Based Ensemble Learning Model to Predict the Diagnosis of Vertigo: Model Development and Validation Study.
Journal of medical Internet research
Aug 3, 2022
BACKGROUND: Questionnaires have been used in the past 2 decades to predict the diagnosis of vertigo and assist clinical decision-making. A questionnaire-based machine learning model is expected to improve the efficiency of diagnosis of vestibular dis...
Predicting the Next-Day Perceived and Physiological Stress of Pregnant Women by Using Machine Learning and Explainability: Algorithm Development and Validation.
JMIR mHealth and uHealth
Aug 2, 2022
BACKGROUND: Cognitive behavioral therapy-based interventions are effective in reducing prenatal stress, which can have severe adverse health effects on mothers and newborns if unaddressed. Predicting next-day physiological or perceived stress can hel...
Correlation of vascular and fluid-related parameters in neovascular age-related macular degeneration using deep learning.
Acta ophthalmologica
Aug 1, 2022
PURPOSE: To identify correlations between the vascular characteristics of macular neovascularization (MNV) obtained by optical coherence tomography angiography (OCTA) and distinct retinal fluid volumes in neovascular age-related macular degeneration ...
Feature extraction from MRI ADC images for brain tumor classification using machine learning techniques.
Biomedical engineering online
Aug 1, 2022
BACKGROUND: Diffusion-weighted (DW) imaging is a well-recognized magnetic resonance imaging (MRI) technique that is being routinely used in brain examinations in modern clinical radiology practices. This study focuses on extracting demographic and te...
Machine Learning-Based Prediction Models for Delirium: A Systematic Review and Meta-Analysis.
Journal of the American Medical Directors Association
Jul 31, 2022
OBJECTIVE: To critically appraise and quantify the performance studies by employing machine learning (ML) to predict delirium.
Tasks for artificial intelligence in prostate MRI.
European radiology experimental
Jul 31, 2022
The advent of precision medicine, increasing clinical needs, and imaging availability among many other factors in the prostate cancer diagnostic pathway has engendered the utilization of artificial intelligence (AI). AI carries a vast number of poten...
Laparoscopic versus robotic inguinal hernia repair: a single-center case-matched study.
Surgical endoscopy
Jul 28, 2022
INTRODUCTION: Robotic inguinal hernia repair (RIHR) is becoming increasingly common and is the minimally invasive alternative to laparoscopic inguinal hernia repair (LIHR). Thus far, there is little data directly comparing LIHR and RIHR. The purpose ...
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