TY  - CHAP
M1  - Book, Section
TI  - Applications of Deep Learning in Surgery
A1  - Li, Quanzheng
A2  - Hashimoto, MD, MS, Daniel A.
A2  - Meireles, MD, Ozanan R.
A2  - Rosman, PhD, Guy
PY  - 2021
T2  - Artificial Intelligence in Surgery: Understanding the Role of AI in Surgical Practice
AB  - HIGHLIGHTSApplications  of  deep  learning  in  surgery  fit  mostly  into  3  broad  categories:  preoperative  planning,  intraoperative  navigation  and  tracking,  and  intraoperative  control.Deep  learning  for  surgery  has  explored  applications  including  surgical  skill  assessment,  preoperative  risk  stratification,  robotic  control  of  devices,  and  automation  of  operative  tasks.Deep  learning  could  augment  surgeons’  abilities  by  further  empowering  their  skills  via  technologies  such  as  facial  tracking  for  automated  control  of  a  laparoscope,  estimated  force  feedback  during  robotic  surgery,  or  even  trajectory  planning  for  the  placement  of  sutures.  
SN  - 
PB  - McGraw-Hill Education
CY  - New York, NY
Y2  - 2024/04/20
UR  - accesssurgery.mhmedical.com/content.aspx?aid=1180350455
ER  -