TY  - CHAP
M1  - Book, Section
TI  - Large Databases in Surgery
A1  - Roberts, Sanford E.
A1  - Kelz, Rachel R.
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  - HIGHLIGHTSAn  understanding  of  the  information  input  and  export  processes  is  critical  to  the  appropriate  use  of  large  data  sets.  As  some  would  say,  garbage  in  equals  garbage  out.Proper  study  design  and  knowledge  of  programming  and  statistics  are  imperative  to  the  safe  use  of  big  data  in  health  care.Many  data  sets  and  registries  exist.  The  selection  of  the  proper  data  source  for  a  specific  question  or  problem  is  necessary  to  achieve  success.Collaborative  practice  including  multidisciplinary  teams  of  clinicians,  statisticians,  medical  anthropologists,  and  programmers,  among  others,  is  encouraged  when  working  with  big  data.Artificial  intelligence  has  the  capacity  to  change  the  way  humans  see  and  use  data.  Ethics  panels  and  review  boards  must  remain  in  place  to  safeguard  the  public  and  investigators.  
SN  - 
PB  - McGraw-Hill Education
CY  - New York, NY
Y2  - 2024/04/23
UR  - accesssurgery.mhmedical.com/content.aspx?aid=1180349751
ER  -