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

PDF) Unraveling Factors Influencing Early Seroma Formation in Breast Augmentation Surgery

Christoph WALLNER, Consultant, MD, MHBA, PhD, Ruhr-Universität Bochum, Bochum, RUB, Department of Plastic Surgery

A Machine Learning Method for Nipple-Areola Complex Localization for Chest Masculinization Surgery

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

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

Paolo MONTEMURRO, Plastic Surgeon - Akademikliniken

A Narrative Review of Artificial Intelligence (AI) for Objective Assessment of Aesthetic Endpoints in Plastic Surgery

Frontiers Early breast cancer detection and differentiation tool based on tissue impedance characteristics and machine learning

Patient Experience Library

Macrotextured Breast Implants with Defined Steps to Minimize Bacterial Contamination around the Device: Experience in 42,000 Implants

Benchmarking the Outcomes of Single-Stage Augmentation Mastopexy against Primary Breast Augmentation: A Single Surgeon's Experience of 905 Consecutive Cases

PDF) Unraveling Factors Influencing Early Seroma Formation in Breast Augmentation Surgery

Data augmentation guided breast cancer diagnosis and prognosis using an integrated deep-generative framework based on breast tumor's morphological information - ScienceDirect

PDF) Unraveling Factors Influencing Early Seroma Formation in Breast Augmentation Surgery

PDF) A Retrospective Analysis of 3,000 Primary Aesthetic Breast Augmentations: Postoperative Complications and Associated Factors