AIMC Topic: Prospective Studies
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Accelerated two-dimensional phase-contrast for cardiovascular MRI using deep learning-based reconstruction with complex difference estimation.
Magnetic resonance in medicine
Sep 12, 2022
PURPOSE: To develop and validate a deep learning-based reconstruction framework for highly accelerated two-dimensional (2D) phase contrast (PC-MRI) data with accurate and precise quantitative measurements.
Machine learning prediction of postoperative major adverse cardiovascular events in geriatric patients: a prospective cohort study.
BMC anesthesiology
Sep 10, 2022
BACKGROUND: Postoperative major adverse cardiovascular events (MACEs) account for more than one-third of perioperative deaths. Geriatric patients are more vulnerable to postoperative MACEs than younger patients. Identifying high-risk patients in adva...
A systematic review of robot-assisted anti-reflux surgery to examine reporting standards.
Journal of robotic surgery
Sep 8, 2022
Robot-assisted anti-reflux surgery (RA-ARS) is increasingly being used to treat refractory gastro-oesophageal reflux disease. The IDEAL (Idea, Development, Exploration, Assessment, Long-term follow up) Collaboration's framework aims to improve the ev...
Artificial intelligence based image quality enhancement in liver MRI: a quantitative and qualitative evaluation.
La Radiologia medica
Sep 7, 2022
PURPOSE: To compare liver MRI with AIR Recon Deep Learning™(ARDL) algorithm applied and turned-off (NON-DL) with conventional high-resolution acquisition (NAÏVE) sequences, in terms of quantitative and qualitative image analysis and scanning time.
Development and validation of a machine-learning algorithm to predict the relevance of scientific articles within the field of teratology.
Reproductive toxicology (Elmsford, N.Y.)
Sep 5, 2022
The Dutch Teratology Information Service Lareb counsels healthcare professionals and patients about medication use during pregnancy and lactation. To keep the evidence up to date, employees perform a standardized weekly PubMed query where relevant li...
Deep Learning to Predict Geographic Atrophy Area and Growth Rate from Multimodal Imaging.
Ophthalmology. Retina
Aug 28, 2022
OBJECTIVE: To develop deep learning models for annualized geographic atrophy (GA) growth rate prediction using fundus autofluorescence (FAF) images and spectral-domain OCT volumes from baseline visits, which can be used for prognostic covariate adjus...
Effect of Peritoneal Fixation (PerFix) on Lymphocele Formation in Robot-assisted Radical Prostatectomy with Pelvic Lymphadenectomy: Results of a Randomized Prospective Trial.
European urology
Aug 28, 2022
BACKGROUND: Symptomatic lymphoceles present the most common complication of robot-assisted radical prostatectomy (RARP) with extended pelvic lymph node dissection (ePLND). No surgical technique has so far shown success in reducing the incidence rate,...
[Artificial intelligence and radiomics : Value in cardiac MRI].
Radiologie (Heidelberg, Germany)
Aug 25, 2022
CLINICAL/METHODICAL ISSUE: Cardiac diseases are the leading cause of death. Many diseases can be specifically treated once a valid diagnosis is established. Cardiac magnetic resonance imaging (MRI) plays a central role in the workup of many cardiac p...
Identification of patients with malignant biliary strictures using a cholangioscopy-based deep learning artificial intelligence (with video).
Gastrointestinal endoscopy
Aug 22, 2022
BACKGROUND AND AIMS: Accurately diagnosing malignant biliary strictures (MBSs) as benign or malignant remains challenging. It has been suggested that direct visualization and interpretation of cholangioscopy images provide greater accuracy for strict...
Influence of internal jugular vein catheterisation on optic nerve sheath diameter in patients undergoing robot-assisted laparoscopic surgery: a prospective cohort study.
British journal of anaesthesia
Aug 18, 2022
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