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A Machine Learning Approach to Identify Previously Unconsidered

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Usefulness of machine learning and deep learning approaches in

A Novel Artificial Intelligence Model for Symmetry Evaluation in Breast Cancer Patients

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

Ethical Redress of Racial Inequities in AI: Lessons from

Björn BEHR, Ruhr-Universität Bochum, Bochum, RUB, Department of Plastic Surgery

Harnessing Data Analytics in 2023: Powering Decisions with AI and Machine Learning

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

Artificial Intelligence in Plastic Surgery: Applications and Challenges

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

Unpacking the 2 × 2 table

Classification of the machine learning approaches according to the

Safe contextual Bayesian optimization integrated in industrial

Artificial Intelligence in Plastic Surgery: Applications and Challenges