Machine Learning Has Potential Plastic Surgery Applications
Scientists discover new applications of machine learning in the field of plastic surgery, according to an article published in journal of the American Society of Plastic Surgeons (ASPS), in April 2017.
Machine learning analyzes historical data to develop algorithms capable of knowledge acquisition. Dr. Kanevsky and coauthors say, “Machine learning has already been applied, with great success, to process large amounts of complex data in medicine and surgery.”
“Machine learning has the potential to become a powerful tool in plastic surgery, allowing surgeons to harness complex clinical data to help guide key clinical decision-making,” write Dr. Jonathan Kanevsky of McGill University, Montreal, and colleagues. They highlight some key areas in which machine learning and “Big Data” could contribute to progress in plastic and reconstructive surgery.
The authors also foresee useful applications of machine learning to improve plastic surgery training. However, they emphasize the need for measures to ensure the safety and clinical relevance of the results obtained by machine learning, and to remember than computer-generated algorithms cannot yet replace the trained human eye.
“These are tools that not only may help the decision-making process but also find patterns that might not be evident in analysis of smaller data sets or anecdotal experience. By embracing machine learning, modern plastic surgeons may be able to redefine the specialty while solidifying their role as leaders at the forefront of scientific advancement in surgery.” Say Dr. Kanevsky and coauthors.
Increasing inclination towards artificial intelligence and increasing advancements in technology are increasing the demand for machine learning, as elaborated in machine learning market report published by Coherent Market Insights.
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