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
- big data
- end stage renal disease
- deep learning
- patients undergoing
- ejection fraction
- chronic kidney disease
- prognostic factors
- physical activity
- peritoneal dialysis
- type diabetes
- risk factors
- smoking cessation
- adipose tissue
- metabolic syndrome
- human immunodeficiency virus
- hiv testing
- insulin resistance