… a machine-learning-based framework involving a large number of data points and fully
automated processing for diagnosis and clinical decision making in orthognathic surgery. …

… data like in the reconstructive surgical field, these models can be … as well as other reconstructive
surgical procedures. … of complication was bulging of the surgical site when the patient …

… Machine learning (ML) is a set of models and methods that can detect patterns in vast …
This review explores the current role of this technology in plastic surgery by outlining the …

… Machine learning has been increasingly used for surgical outcome prediction, yet … of
plastic surgery, the majority of ML studies were related to burn research and craniofacial surgery …

… One study utilised a machine learning framework model, namely the 3D morphable model (…
Hence one study [25] used eight specialists (4-orthodontists; 4-plastic surgeons) in assessing …

… In this prospective study using a high-fidelity virtual reality simulated neurosurgical brain
tumor resection procedure, we sought to assess whether machine learning algorithms could …

… Then, I prototyped some machine learning approaches and … I extended the machine learning
framework developed for [… and implemented the reinforcement learning solutions. Massoud …

… in MRI within a compressed sensing framework. Quan et al. … and (2) which neural network
training procedure should be … improvement is intrinsic and not just cosmetic. Third, a more …

… review the application of machine learning models in different aspects of cosmetic
procedures. ML employs methods and models for automated learning without recruiting direct …

… , and the acquisition or sampling procedure is appropriately incoherent with … deep learning
approaches for image reconstruction have been based on the supervised learning framework…