AIMC Topic: Prospective Studies
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Perioperative outcomes of intracorporeal robot-assisted radical cystectomy versus open radical cystectomy: A systematic review and meta-analysis of comparative studies.
International journal of surgery (London, England)
Sep 30, 2021
PURPOSE: To systematically review studies comparing the perioperative outcomes of intracorporeal robot-assisted radical cystectomy (iRARC) and open radical cystectomy (ORC).
Artificial Intelligence Algorithm Improves Radiologist Performance in Skeletal Age Assessment: A Prospective Multicenter Randomized Controlled Trial.
Radiology
Sep 28, 2021
Background Previous studies suggest that use of artificial intelligence (AI) algorithms as diagnostic aids may improve the quality of skeletal age assessment, though these studies lack evidence from clinical practice. Purpose To compare the accuracy ...
Identifying peripheral arterial disease in the elderly patients using machine-learning algorithms.
Aging clinical and experimental research
Sep 27, 2021
BACKGROUND: Peripheral artery disease (PAD) is a common syndrome in elderly people. Recently, artificial intelligence (AI) algorithms, in particular machine-learning algorithms, have been increasingly used in disease diagnosis.
Identifying individuals with recent COVID-19 through voice classification using deep learning.
Scientific reports
Sep 27, 2021
Recently deep learning has attained a breakthrough in model accuracy for the classification of images due mainly to convolutional neural networks. In the present study, we attempted to investigate the presence of subclinical voice feature alteration ...
Feasibility of robot-assisted neuroendovascular procedures.
Journal of neurosurgery
Sep 24, 2021
OBJECTIVE: Geographic factors prevent equitable access to urgent advanced neuroendovascular treatments. Robotic technologies may enable remote endovascular procedures in the future. The authors performed a translational, benchtop-to-clinical study to...
Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach.
Nature communications
Sep 23, 2021
Assisted reproductive technologies (ART) are increasingly used, however little is known about the long-term health of ART-conceived offspring. Weak selection of comparison groups and poorly characterized mechanisms impede current understanding. In a ...
A comparative study of anticoagulant/antiplatelet therapy among men undergoing robot-assisted radical prostatectomy: a prospective single institution study.
Journal of robotic surgery
Sep 21, 2021
The present study aimed to assess the safety and efficacy of robot-assisted radical prostatectomy (RARP) in patients with prostate cancer (PCa) under anticoagulant (AC) and/or antiplatelet (AP) therapy, as compared to a control group, and to establis...
A Nomogram for the Prediction of Intermediate Significant Renal Function Loss After Robot-assisted Partial Nephrectomy for Localized Renal Tumors: A Prospective Multicenter Observational Study (RECORd2 Project).
European urology focus
Sep 21, 2021
BACKGROUND: Robot-assisted partial nephrectomy (RAPN) is increasingly adopted for the treatment of localized renal tumors; however, rates and predictors of significant renal function (RF) loss after RAPN are still poorly investigated, especially at a...
Deep learning-based prediction of early cerebrovascular events after transcatheter aortic valve replacement.
Scientific reports
Sep 21, 2021
Cerebrovascular events (CVE) are among the most feared complications of transcatheter aortic valve replacement (TAVR). CVE appear difficult to predict due to their multifactorial origin incompletely explained by clinical predictors. We aimed to build...
Real-time artificial intelligence for detecting focal lesions and diagnosing neoplasms of the stomach by white-light endoscopy (with videos).
Gastrointestinal endoscopy
Sep 20, 2021
BACKGROUND AND AIMS: White-light endoscopy (WLE) is the most pivotal tool to detect gastric cancer in an early stage. However, the skill among endoscopists varies greatly. Here, we aim to develop a deep learning-based system named ENDOANGEL-LD (lesio...
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