The revolutionary influence of artificial intelligence in plastic and reconstructive surgery: advancements, uses, and upcoming trends, scopes, and challenges
摘要
Artificial intelligence (AI) is reshaping the field of contemporary healthcare, providing cutting-edge tools that improve diagnostic precision, treatment results, and clinical effectiveness.
This review is designed to enhance our understanding of how AI is used and managed in the fields of plastic and reconstructive surgery. It delves into the advantages, challenges, and current applications of AI in aesthetic, plastic, and reconstructive procedures.
MethodsA narrative review was carried out using the EMBASE and MEDLINE databases to identify studies that explored the use of AI in plastic surgery published in the past decade.
ResultsThis evaluation offers valuable perspectives on contemporary methods, demonstrated with practical examples and possible future developments. Although the benefits of AI are clear, the drawbacks must also be recognized. This evaluation is intended to emphasize potential dangers, hazards, and causes of mistakes linked to AI technology and its uses. Consequently, this review seeks to direct potential concerns regarding artificial intelligence in plastic and reconstructive surgery while providing a truly balanced experience. Moreover, basic ethical and legal principles will be canalized together with possible “guidelines for the use and implementation of artificial intelligence in plastic surgical practices.” Developments in this field are often viewed as remarkable, making it crucial to evaluate them thoughtfully and objectively. Even though we’ve come a long way with AI, it’s really important to keep improving the methods we’ve created and to maintain a wider perspective.
ConclusionsArtificial intelligence has shown significant promise in revolutionizing the field of plastic and reconstructive surgery. It has the potential to greatly enhance the capabilities of plastic surgeons, improving efficiency, accuracy, and patient well-being and outcomes. Level of Evidence: not gradable.