For further reading
Supervised Classification of Normal and Tumorous Brain MR Images Using Machine Learning Schemes
Lim Jia Qi, Norma Alias, Farhana Johar Preprints (www.preprints.org) | …
Interesting articles
Artificial Intelligence: The New Frontier in Surgery
July 2020, European Journal of Medical and Health Sciences, Michael …
Transfer of Automated Performance Feedback Models to Different Specimens in Virtual Reality Temporal Bone Surgery
Jesslyn Lamtara, Nathan Hanegbi, Benjamin Talks, Sudanthi Wijewickrema, Xingjun Ma, …
European Section/Board of Anaesthesiology/European Society of Anaesthesiology consensus statement on competency-based education and training in anaesthesiology
George D. Shorten, Edoardo De Robertis, Zeev Goldik, Sibylle Kietaibl, …
COGNITIVE LOAD THEORY: A CRITICAL LENS FOR EXAMINING PROCEDURAL SKILLS TRAINING IN THE HEALTH PROFESSIONS
THE CASE OF GASTROINTESTINAL ENDOSCOPY Justin Louis Sewell https://dspace.library.uu.nl/bitstream/handle/1874/384351/sewellthesiswithcoverfinalcopy.pdf?sequence=1
Defining critical and non-critical moments in the operating room: a modified Delphi consensus study
Sylvain Boet, MD, PhD . Nicole Etherington, PhD . Agnes …
Quantifying surgeon maneuevers across experience levels through marker-less hand motion kinematics of simulated surgical tasks
David P. Azari, Brady L. Miller, Brian V. Le, Caprice …
Artificial Intelligence for Education of Vascular Surgeons
Fabien Lareyre, Cédric Adam, Marion Carrier, Nabil Chakfé, Juliette Raffort …
Implementing structured team debriefing using a Black Box in the operating room: surveying team satisfaction
A. S. H. M. van Dalen, M. Jansen, M. van …
An accurate comparison of methods for quantifying variable importance in artificial neural networks using simulated data
Julian D. Olden, Michael K. Joy, Russell G. Death Ecological …