A Practical Approach to Artificial Intelligence in Plastic Surgery.
Akash ChandawarkarChristian ChartierJonathan KanevskyPhaedra E CressPublished in: Aesthetic surgery journal. Open forum (2020)
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.
Keyphrases
- artificial intelligence
- big data
- machine learning
- deep learning
- end stage renal disease
- newly diagnosed
- chronic kidney disease
- quality improvement
- ejection fraction
- minimally invasive
- healthcare
- prognostic factors
- type diabetes
- coronary artery disease
- patient reported outcomes
- hepatitis c virus
- high resolution
- atrial fibrillation
- acute coronary syndrome
- percutaneous coronary intervention
- electronic health record
- coronary artery bypass
- breast reconstruction