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Generative AI refers to a family of machine learning techniques that allow machines to learn from and create new data, making it a promising area for surgical research. This page aims to provide an overview of Generative AI and its potential in the surgical domain. We have compiled a list of tools and resources built with Generative AI that can be used to aid in surgical research, including image synthesis, segmentation, and modeling. Additionally, we have provided examples of how AN.ai Lab members use each tool to aid in their research endeavors. We hope this page serves as a valuable resource for researchers and enthusiasts interested in exploring the intersection of surgery and Generative AI.
AN.ai Lab Use Case: "Automate data cleaning and feature engineering as part of model development"
AN.ai Lab Use Case: "Use as an AI research assistant to summarize papers and debug code"
AN.ai Lab Use Case: "Extract relevant findings from academic literature to support manuscript conclusions"
AN.ai Lab Use Case: "Speed up coding and quickly read/summarize research articles"
AN.ai Lab Use Case: "Analyze outputs and automate repetitive parts of data cleaning"
Disclaimer: The list of tools and resources provided on this page are for informational purposes only and are not endorsements of any particular website, product, or company. We do not endorse or make any representations about the quality, reliability, suitability, or accuracy of the information, products, or services provided by the websites or companies listed. It is important for users to conduct their own research and due diligence before using any of the tools or resources listed.
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