Development of an algorithm for intraoperative autofluorescence assessment of parathyroid glands in primary hyperparathyroidism using artificial intelligence.

Journal: Surgery
PMID:

Abstract

BACKGROUND: Previous work showed that normal and abnormal parathyroid glands exhibit different patterns of autofluorescence, with the former appearing brighter and more homogenous. However, an objective algorithm based on quantified measurements was not provided. The aim of this study is to develop objective algorithms for intraoperative autofluorescence assessment of parathyroid glands in primary hyperparathyroidism using artificial intelligence.

Authors

  • Serkan Akbulut
    Department of Endocrine Surgery, Cleveland Clinic, OH.
  • Ozgun Erten
    Department of Endocrine Surgery, Cleveland Clinic, OH.
  • Yoo Seok Kim
    Department of Endocrine Surgery, Cleveland Clinic, OH.
  • Mehmet Gokceimam
    Department of Endocrine Surgery, Cleveland Clinic, OH.
  • Eren Berber
    Professor of Surgery, Department of General Surgery, Cleveland Clinic, Ohio.