A Practical Approach to Artificial Intelligence in Plastic Surgery. Issue 1 (8th January 2020)
- Record Type:
- Journal Article
- Title:
- A Practical Approach to Artificial Intelligence in Plastic Surgery. Issue 1 (8th January 2020)
- Main Title:
- A Practical Approach to Artificial Intelligence in Plastic Surgery
- Authors:
- Chandawarkar, Akash
Chartier, Christian
Kanevsky, Jonathan
Cress, Phaedra E - Abstract:
- Abstract: Understanding the intersection of technology and plastic surgery has been and will be essential to positioning plastic surgeons at the forefront of surgical innovation. This account of the current and future applications of artificial intelligence (AI) in reconstructive and aesthetic surgery introduces us to the subset of issues amenable to support from this technology. It equips plastic surgeons with the knowledge to navigate technical conversations with peers, trainees, patients, and technical partners for collaboration and to usher in a new era of technology in plastic surgery. From the mathematical basis of AI to its commercially viable applications, topics introduced herein constitute a framework for design and execution of quantitative studies that will better outcomes and benefit patients. Finally, adherence to the principles of quality data collection will leverage and amplify plastic surgeons' creativity and undoubtedly drive the field forward.
- Is Part Of:
- Aesthetic surgery journal. Volume 2:Issue 1(2020)
- Journal:
- Aesthetic surgery journal
- Issue:
- Volume 2:Issue 1(2020)
- Issue Display:
- Volume 2, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 2
- Issue:
- 1
- Issue Sort Value:
- 2020-0002-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-01-08
- Subjects:
- 617
- Journal URLs:
- https://academic.oup.com/asjopenforum ↗
http://www.oxfordjournals.org/ ↗ - DOI:
- 10.1093/asjof/ojaa001 ↗
- Languages:
- English
- ISSNs:
- 2631-4797
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16950.xml