A Machine Learning Approach to Identify Previously Unconsidered Causes for Complications in Aesthetic Breast Augmentation.

Montemurro, Paolo; Lehnhardt, Marcus; Behr, Björn; Wallner, Christoph

Montemurro, Paolo; Lehnhardt, Marcus; Behr, Björn; Wallner, Christoph.

Affiliation

Montemurro P; Akademikliniken, Storängsvägen 10, 11541, Stockholm, Sweden. paolo.montemurro@ak.se.
Lehnhardt M; Department of Plastic Surgery, BG University Hospital Bergmannsheil, Ruhr University Bochum, Bürkle-de-la-Camp Platz 1, 44789, Bochum, Germany.
Behr B; Department of Plastic Surgery, BG University Hospital Bergmannsheil, Ruhr University Bochum, Bürkle-de-la-Camp Platz 1, 44789, Bochum, Germany.
Wallner C; Akademikliniken, Storängsvägen 10, 11541, Stockholm, Sweden.

Aesthetic Plast Surg ; 46(6): 2669-2676, 2022 12.

Article in En | MEDLINE | ID: mdl-35802149

Subject(s)

Artificial Intelligence; Mammaplasty; Humans; Female; Reproducibility of Results; Mammaplasty/adverse effects; Machine Learning

Key words

AI; Augmentation; Breast; CART; Complications; Implant; Machine learning

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Mammaplasty Type of study: Etiology_studies Limits: Female / Humans Language: En Journal: Aesthetic Plast Surg Year: 2022 Document type: Article Affiliation country: Sweden Country of publication: United States

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