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…apy for 283 ears by experienced healthcare providers and a previously developed deep learning CNN model. 2D photographs of ears were obtained as a standard of care in our on…

…ture search yielded information on AI mechanisms such as machine learning (ML), deep learning (DL), and convolutional neural networks (CNN) as they are being incorporated in…

…as a didactic case study to demonstrate reproducible training and deployment of deep learning models using a public dataset. [METHODS] The SIIM-ISIC 2020 melanoma dataset wa…

…rning algorithms (a subtype of AI), convolutional neural networks (a subtype of deep learning) are widely used in OMF cosmetic surgeries. Depending on their complexity, thes…

Evaluating the Impact of BoNT-A Injections on Facial Expressions: A Deep Learning Analysis.

… the Standardized Cosmesis and Health Nasal Outcomes Survey Classification with Convolutional Neural Networks.

… Machine learning represents a new frontier in surgical innovation. The ranking Convolutional Neural Network (CNN) is a novel machine learning algorithm that helps elucidate patterns and f…

[BACKGROUND] The application of convolutional neural networks (CNNs) in microsurgery has been limited. Current CNNs struggle to capture dive…

…edictive accuracy for complications such as flap loss and donor site morbidity. CNNs have revolutionized perforator localization, with advanced models achieving Di…

…ane Library (January 2020-July 2025) for studies applying AI, machine learning, deep learning, computer vision, or large language models to cosmetic or aesthetic procedures.…

Commentary on "Machine Learning, Deep Learning, Artificial Intelligence and Aesthetic Plastic Surgery: A Qualitative Systemati…

Machine Learning, Deep Learning, Artificial Intelligence and Aesthetic Plastic Surgery: A Qualitative Systemati…

Applied Deep Learning in Plastic Surgery: Classifying Rhinoplasty With a Mobile App.

…sed to learn surgeons' rhinoplasty styles and accurately simulate the outcomes. Deep learning was used to predict rhinoplasty status accurately and analyze the factors assoc…

…s with inborn double eyelid. Standardized images and videos were collected. The deep learning-based image analysis automatically evaluated four eyelid morphological paramete…

…haroplasty-related surgeries actually had an effect on perceived age reduction. Deep learning models have the potential to provide quantitative evidence for the rejuvenating…

Introduction of Deep Learning-Based Infrared Image Analysis to Marginal Reflex Distance1 Measurement Method t…

…esthetic medicine was conducted, analyzing literature on machine learning (ML), deep learning, and computer vision applications. Case studies on AI-assisted facial symmetry …

…ate candidate selection prior to treatment initiation. [METHODS] We developed a deep learning algorithm, DystoniaBoTXNet, which uses a 3D convolutional neural network archit…

…intradermal volume of hydrogels based on optical coherence tomography (OCT) and deep learning. Volumetric image data was acquired using a custom-built OCT prototype that emp…