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Analysis of artificial intelligence in thyroid diagnostics and surgery: A scoping review
Anas Taha1, Baraa Saad2, Stephanie Taha-Mehlitz3
1Department of Biomedical Engineering, Faculty of Medicine, University of Basel, 4123, Allschwil, Switzerland; Department of Surgery, Centre of Gastrointestinal Diseases, Cantonal Hospital Basel-land, Basel-Land, Switzerland.
Background:
Artificial Intelligence provides numerous applications in the healthcare sector. The main aim of this study is to evaluate the extent of the current application of artificial intelligence in thyroid diagnostics.
Methods:
Our protocol was based on the Scoping Reviews extension of the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA-ScR). Information was gathered from PubMed, Cochrane, and EMBASE databases and Google Scholar. Eligible studies were published between 2017 and 2022.
Results:
The search identified 133 records, after which 18 articles were included in the scoping review. All the publications were journal articles and discussed various ways that specialists in thyroid diagnostics and surgery have utilized artificial intelligence in their practice.
Conclusions:
The development and incorporation of Artificial Intelligence applications in thyroid diagnostics and surgery has been moderate yet promising. However, applications are currently inconsistent and further research is needed to delineate the true benefit and limitations in this field.
