Machine learning for technical skill assessment in surgery: a systematic review

Autor: Kyle Lam, Junhong Chen, Zeyu Wang, Fahad M. Iqbal, Ara Darzi, Benny Lo, Sanjay Purkayastha, James M. Kinross

Publikováno v: npj Digital Medicine, Vol 5, Iss 1, Pp 1-16 (2022)

Abstract Accurate and objective performance assessment is essential for both trainees and certified surgeons. However, existing methods can be time consuming, labor intensive, and subject to bias. Machine learning (ML) has the potential to provide ra

Externí odkaz: https://doaj.org/article/59b59cc6040d4f338ee9c6df9994ecde

Machine learning for technical skill assessment in surgery: a systematic review

Autor: Kyle Lam, Junhong Chen, Zeyu Wang, Fahad M. Iqbal, Ara Darzi, Benny Lo, Sanjay Purkayastha, James M. Kinross

Publikováno v: NPJ digital medicine. 5(1)

Accurate and objective performance assessment is essential for both trainees and certified surgeons. However, existing methods can be time consuming, labor intensive, and subject to bias. Machine learning (ML) has the potential to provide rapid, auto

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4e4213e569dd5151fa6f1085e4df75a
https://pubmed.ncbi.nlm.nih.gov/35241760

Opportunities and priorities for breast surgical research

Autor: Ramsey I Cutress, Stuart A McIntosh, Shelley Potter, Amit Goyal, Cliona C Kirwan, James Harvey, Adele Francis, Amtul R Carmichael, Raghavan Vidya, Jayant S Vaidya, Patricia Fairbrother, John R Benson, Malcolm W R Reed, Narendra N Basu, Nigel J Bundred, Nathan Coombs, John Dickson, J Michael Dixon, Michael Douek, Diana Harcourt, Chris Holcombe, Jonathan Horsnell, Fahad M Iqbal, Lucy R Khan, Daniel R Leff, Anthony J Maxwell, Nicole Paraskeva, Tim Rattay, Malcolm WR Reed, Amtul S Sami, Julian Singer, Edward R St John, Ash Subramanian, Jeffrey S Tobias, Nader Touqan, Zoe E Winters

Publikováno v: Cutress, R, McIntosh, S, Potter, S, Goyal, A, Kirwan, C, Harvey, J, Francis, A, Carmichael, A, Vidya, R, Vaidya, J, Fairbrother, P, Benson, J, Reed, M & the Association of Breast Surgery Surgical Gap Analysis Working Group 2018, ' Opportunities and priorities for breast surgical research ', Lancet Oncology, vol. 19, no. 10, pp. e521-e533 . https://doi.org/10.1016/S1470-2045(18)30511-4
Association of Breast Surgery Surgical Gap Analysis Working Group, Cutress, R I & McIntosh, S A 2018, ' Opportunities and priorities for breast surgical research ', Lancet Oncology, vol. 19, no. 10, pp. e521-e533 . https://doi.org/10.1016/S1470-2045(18)30511-4
Kirwan, C 2018, ' Opportunities and priorities for breast surgical research. ', The Lancet Oncology, vol. 19, no. 10, pp. 521 . https://doi.org/10.1016/S1470-2045(18)30511-4

© 2018 Elsevier Ltd The 2013 Breast Cancer Campaign gap analysis established breast cancer research priorities without a specific focus on surgical research or the role of surgeons on breast cancer research. This Review aims to identify opportunitie

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74e7abd14df5231240a1f5acc67c526f

Comparison of the Prognostic Value of Normal Regadenoson With Normal Adenosine Myocardial Perfusion Imaging With Propensity Score Matching

Autor: Ami E. Iskandrian, Fadi G. Hage, Fahad M. Iqbal, Jaekyeong Heo, Phillip J. Dean, Saleem Raslan, Ali Ahmed

Publikováno v: JACC: Cardiovascular Imaging. 5(10):1014-1021

Objectives The aim of this study was to test the hypothesis that patients with normal regadenoson myocardial perfusion imaging (MPI) have a low rate of cardiac events, similar to patients with normal adenosine MPI. Background Regadenoson, a new selec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae1eb98827cfba3c2affa2e5795f8917

The prognostic value of the heart rate response to adenosine in relation to diabetes mellitus and chronic kidney disease

Autor: Ami E. Iskandrian, Phillip A. Dean, Vikas Bhatia, Fadi G. Hage, Fahad M. Iqbal, Jaekyeong Heo

Publikováno v: American Heart Journal. 162:356-362

Myocardial perfusion imaging (MPI) is a useful method for risk assessment in patients with diabetes mellitus (DM) and chronic kidney disease (CKD), but these patients have a residual risk that is not accounted for by MPI. The objective of this study

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f41fa5ae1ccd543beb3caf8605cd45b4
https://doi.org/10.1016/j.ahj.2011.05.014