Examining the learning curves in robotic cardiac surgery wet lab simulation training
Gennady V Atroshchenko, Emiliano Navarra, Matthew Valdis, Elena Sandoval, Nasseh Hashemi, Stepan Cerny, Daniel Pereda, Meindert Palmen, Flemming Bjerrum, Niels Henrik Bruun, Martin G Tolsgaard · 2024
Read Examining the learning curves in robotic cardiac surgery wet lab simulation training by Gennady V Atroshchenko, Emiliano Navarra, Matthew Valdis, Elena Sandoval, Nasseh Hashemi, Stepan Cerny, Daniel Pereda, Meindert Palmen, Flemming Bjerrum, Niels Henrik Bruun, Martin G Tolsgaard (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11723529.txt.
Description
A team led by Gennady Atroshchenko measured how fast surgeons new to robots learn heart surgery tasks in a wet lab. Trainees practiced three tasks on pig tissue: closing an upper heart chamber, freeing a chest artery, and stitching a valve ring. Scores from expert robotic surgeons set the bar.
Fifteen novices took part, some heart surgeons and some not. Most hit mastery in about half an hour to an hour per task. Prior open heart experience made little difference to speed of learning. On one task, non-heart surgeons scored lower on fine skill ratings. The authors back wet lab practice as a fast route to robot skills.
Catalog record
| CREATOR | Gennady V Atroshchenko, Emiliano Navarra, Matthew Valdis, Elena Sandoval, Nasseh Hashemi, Stepan Cerny, Daniel Pereda, Meindert Palmen, Flemming Bjerrum, Niels Henrik Bruun, Martin G Tolsgaard |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 29 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |