Paper Title
Artificial intelligence in plastic surgery a review article.
Article Identifiers
Authors
Rakesh Ashok Kadam , Sweety , Abhirami , Tripti
Keywords
3D imaging; Artificial intelligence, robotics, plastic surgery, machine learning
Abstract
Background: Due to the industrial use of machines and robotics, autonomous instruments, and the quick advancement of computer-based systems, artificial intelligence (AI) has been well-established in many aspects of daily life for a long time. Objective: Demonstration of current AI breakthroughs and future potential in plastic surgery. Especially in breast surgery, craniofacial surgery, and wound care. Methods: Evaluation of different modalities of AI in press releases and original articles from journals and discussion of reviews. Results: The use of 3D imaging systems provides objective feedback on surgical results in terms of volume and aesthetics in breast surgery. Intelligent robots assist plastic surgeons in microsurgical anastomoses of increasingly smaller vessels which helps in craniofacial surgery and the implementation of AI in the field of wound care helps in prognosis. Conclusion: Artificial intelligence can address clinically relevant problems in several domains of plastic surgery, including breast surgery; craniofacial surgery and wound care. This article provides a brief introduction to current research and suggests limitations, ethical concerns and future projects that will allow plastic surgeons to explore this new frontier of surgical science.
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How To Cite (APA)
Rakesh Ashok Kadam , Sweety , Abhirami, & Tripti (January-2023). Artificial intelligence in plastic surgery a review article.. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(1), b317-b322. https://ijnrd.org/papers/IJNRD2301137.pdf
Issue
Volume 8 Issue 1, January-2023
Pages : b317-b322
Other Publication Details
Paper Reg. ID: IJNRD_185999
Published Paper Id: IJNRD2301137
Downloads: 000121985
Research Area: Engineering
Country: -, -, -
Published Paper PDF: https://ijnrd.org/papers/IJNRD2301137.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2301137
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