RT Book, Section
A1 Namazi, Babak
A1 Devarajan, Venkat
A1 Sankaranarayanan, Ganesh
A2 Hashimoto, MD, MS, Daniel A.
A2 Meireles, MD, Ozanan R.
A2 Rosman, PhD, Guy
SR Print(0)
ID 1180350239
T1 Artificial Intelligence for Surgical Education and Intraoperative Analysis
T2 Artificial Intelligence in Surgery: Understanding the Role of AI in Surgical Practice
YR 2021
FD 2021
PB McGraw-Hill Education
PP New York, NY
SN 9781260452730
LK accesssurgery.mhmedical.com/content.aspx?aid=1180350239
RD 2024/04/19
AB HIGHLIGHTSThree  major  areas  of  surgical  training  in  which  artificial  intelligence  is  being  explored  include  intraoperative  feedback,  postoperative  analysis,  and  simulation  training.The  use  of  artificial  intelligence  for  surgical  training  attempts  to  overcome  limitations  of  manual  assessment,  namely  that  manual  assessment  can  be  very  time  consuming  and  expensive  and  that  manual  assessment  is  inherently  subjective  because  it  relies  on  raters  observing  and  evaluating  performance.Automated  assessment  can  be  performed  by  replicating  well-validated  manual  scoring  systems  and  then  augmenting  those  systems  with  quantitative  metrics  of  performance  captured  by  sensors.