AIMC Topic: Prospective Studies

Clear Filters Showing 1011 to 1020 of 2403 articles

A Multimodal AI System for Out-of-Distribution Generalization of Seizure Identification.

IEEE journal of biomedical and health informatics
Artificial intelligence (AI) and health sensory data-fusion hold the potential to automate many laborious and time-consuming processes in hospitals or ambulatory settings, e.g. home monitoring and telehealth. One such unmet challenge is rapid and acc...

Robotic right colectomy with robotic-sewn anastomosis: a pilot case series.

Journal of robotic surgery
The background of this study is to assess the feasibility, clinical utility and safety of intra-corporeal robotic-sewn anastomosis (ICrA) in completely robotic right hemicolectomy (CRH) for adenocarcinoma. A protocol for completely robotic right hemi...

Can deep learning improve image quality of low-dose CT: a prospective study in interstitial lung disease.

European radiology
OBJECTIVES: To investigate whether deep learning reconstruction (DLR) could keep image quality and reduce radiation dose in interstitial lung disease (ILD) patients compared with HRCT reconstructed with hybrid iterative reconstruction (hybrid-IR).

Prospective motion correction and automatic segmentation of penetrating arteries in phase contrast MRI at 7 T.

Magnetic resonance in medicine
PURPOSE: To develop a prospective motion correction (MC) method for phase contrast (PC) MRI of penetrating arteries (PAs) in centrum semiovale at 7 T and to evaluate its performance using automatic PA segmentation.

Intraoperative workload during robotic radical prostatectomy: Comparison between multi-port da Vinci Xi and single port da Vinci SP robots.

Applied ergonomics
The goal of this study was to quantify and compare prospective self-reported intraoperative workload and teamwork during robot-assisted radical prostatectomy (RARP) for multi-port da Vinci Xi (MP) and single-port da Vinci SP (SP) robots. The self-rep...

Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study.

The Lancet. Digital health
BACKGROUND: A large training dataset with high-quality annotations is necessary for building an accurate and generalisable deep learning system, which can be difficult and expensive to prepare in medical applications. We present a novel deep-learning...

Proficiency-based progression training for robotic surgery skills training: a randomized clinical trial.

BJU international
OBJECTIVE: To determine whether proficiency-based progression (PBP) training leads to better robotic surgical performance compared to traditional training (TT), given that the value of PBP training for learning robotic surgical skills is unclear.