VR and machine learning: novel pathways in surgical hands-on training

Author:

Veneziano Domenico,Cacciamani Giovanni,Rivas Juan Gomez,Marino Nicola,Somani Bhaskar K.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Urology

Reference15 articles.

1. The European Urology Residents Education Programme hands-on training format: 4 years of hands-on training improvements from the European School of Urology;Somani;Eur Urol Focus,2018

2. Evaluation of the ‘Teaching Guide for Basic Laparoscopic Skills’ as a stand-alone educational tool for hands-on training sessions: a pilot study;Veneziano;World J Urol,2020

3. Machine learning for medical diagnosis: history, state of the art and perspective;Kononenko;Artif Intell Med,2001

4. Climbing over the barriers of current imaging technology in urology;Veneziano;Eur Urol,2020

5. Development of a laparoscopic box trainer based on open source hardware and artificial intelligence for objective assessment of surgical psychomotor skills;Alonso-Silverio;Surg Innov,2018

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