Work

A machine learning approach to predict surgical learning curves

Year: 2019

Type: article

Source: Surgery

DOI: 10.1016/j.surg.2019.10.008

Authors: Yuanyuan Gao, Uwe Kruger, Xavier Intes, Steven Schwaitzberg, Suvranu De

Institutions: Rensselaer Polytechnic Institute, Buffalo General Medical Center, University at Buffalo, State University of New York

Language: English

Topic: Surgical Simulation and Training

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDGs: Quality education, Good health and well-being

Open Access status: green

Funders: National Heart, Lung, and Blood Institute, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering

Awards: G2645037797, Development and Validation of a Virtual Bariatric Endoscopic (ViBE) Simulator, Time-Resolved Wide-Field Molecular Optical Tomography, G3277444822, Development and validation of a virtual airway skill trainer (VAST), G4859378995, G6477962747, Development and Validation of a Virtual Endoluminal Surgical Simulator (VESS) for Treatment of Colorectal Cancer, Development and validation of a Virtual Colorectal Surgical Trainer (VCoST)

OpenAlex ID: W2989214288

FWCI: 2.593

Cites: 66

Cited by: 38

Related to: 10