Artificial intelligence outperforms human students in conducting neurosurgical audits
- 1 May 2020
- journal article
- research article
- Published by Elsevier in Clinical Neurology and Neurosurgery
- Vol. 192, 105732
- https://doi.org/10.1016/j.clineuro.2020.105732
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- Diagnostic accuracy of frontotemporal dementia. An artificial intelligence-powered study of symptoms, imaging and clinical judgementAdvances in Medical Sciences, 2019
- Frideswide – An artificial intelligence deep learning algorithm for audits and quality improvement in the neurosurgical practiceInternational Journal of Surgery, 2017
- Are medical outliers associated with worse patient outcomes? A retrospective study within a regional NHS hospital using routine dataBMJ Open, 2017
- Causes of cancellations on the day of surgery at a Tertiary Teaching HospitalBMC Health Services Research, 2016
- Effect of perioperative inefficiency on neurosurgical theatre efficacy: A 15-year analysisBritish Journal Of Neurosurgery, 2015
- Report of an outbreak of Clostridium difficile infection caused by ribotype 053 in a neurosurgery unitJournal of Infection Prevention, 2014
- Publication practices of medical students at British medical schools: Experience, attitudes and barriers to publishMedical Teacher, 2010
- Causes for cancellation of elective surgical procedures in a Spanish general hospitalAnaesthesia, 2009
- Teaching evidence-based medicine to undergraduate medical students: a course integrating ethics, audit, management and clinical epidemiologyMedical Teacher, 2006
- The Scottish doctor--learning outcomes for the medical undergraduate in Scotland: a foundation for competent and reflective practitionersMedical Teacher, 2002