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…ired subretinal space in . Our system integrates OCT and microscope images with convolutional neural networks (CNNs) to automatically segment the surgical tool and retinal tissue boundarie…

Convolutional Neural Network in Microsurgery Treatment of Spontaneous Intracerebral Hemorrhage.

…l boundary tracking of A-scan optical coherence tomography (OCT) images using a convolutional neural network (CNN) for automatic depth targeting of a selected retinal boundary for accurate…

…uring surgery, leading to improved accuracy and safety. Furthermore, AI-powered image analysis aids in facial recognition, skin texture assessment, and simulation of surgical…

[BACKGROUND] Driven by advancements in deep learning, surgical robots, and predictive modeling technologies, the integration of arti…

…rary tools, including the Marquardt Phi Mask, facial attractiveness scores, and deep learning models like those trained on SCUT-FBP5500, promise objective evaluations of bea…

[INTRODUCTION] Generative adversarial networks (GANs) are a form of deep learning architecture based on the zero-sum game theory, which uses real data to generat…

… available extensive artificial intelligence (AI) language model that leverages deep learning to generate text that mimics human conversations. In this study, the performanc…

…y and Facial Landmark Detection Research and Open Access Face Data Set Based on Deep Learning (Artificial Intelligence) Generated Synthetic 3D Models.

…BACKGROUND] ChatGPT is an open-source artificial large language model that uses deep learning to produce human-like text dialogue. This observational study evaluated the abi…

…tomatic Apparent Nasal Index from Single Facial Photographs Using a Lightweight Deep Learning Pipeline: A Pilot Study.

…hly accurate simulations of postoperative outcomes. AI-driven models, including deep learning and generative adversarial networks (GANs), have demonstrated the ability to pr…

…peratively vs. 5.34 years younger postoperatively, p = 0.02). [CONCLUSIONS] The deep learning algorithm developed in this study demonstrates that, on average, blepharoplasty…

A Deep Learning Model to Predict Breast Implant Texture Types Using Ultrasonography Images: Fea…

Comparison of Patient Reviews for Submental Liposuction and Kybella Using Deep Learning and Natural Language Processing: Is There a Superior Intervention for Submental…

…sual system for robot- or computer-assisted liposuction, we examined the use of deep learning for the segmentation of adipose ultrasound images in clinical and educational s…

FaceLift: a transparent deep learning framework to beautify urban scenes.

…tonomously generated based on expert-defined prompts and surgical objectives. A deep learning framework was employed to match navigation-generated visual data with textual p…

… Point Detection Using YOLOv8 Enhanced with CBAM and BiFPN: A Multi-Perspective Deep Learning Approach.

…classification, integrating advanced data preprocessing, feature selection, and deep learning (DL) techniques tailored for IoT sensor data. [METHODS] The work employs Cluste…