The usefulness of artificial intelligence in breast reconstruction: a systematic review.
Karla C MaitaFrancisco R AvilaRicardo A Torres-GuzmanJohn P GarciaGioacchino D De Sario VelasquezSahar BornaSally A BrownClifton R HaiderOlivia S HoAntonio Jorge FortePublished in: Breast cancer (Tokyo, Japan) (2024)
In breast reconstruction, AI can help the surgeon by optimizing the perioperative patients' counseling to predict negative outcomes, allowing execution of timely interventions and reducing the postoperative burden, which leads to obtaining the most successful results and improving patient satisfaction.
Keyphrases
- breast reconstruction
- artificial intelligence
- patient satisfaction
- machine learning
- end stage renal disease
- big data
- deep learning
- patients undergoing
- chronic kidney disease
- ejection fraction
- peritoneal dialysis
- newly diagnosed
- physical activity
- cardiac surgery
- acute kidney injury
- type diabetes
- patient reported outcomes
- adipose tissue
- metabolic syndrome
- glycemic control
- human immunodeficiency virus