A visual deep learning model to predict abnormal versus normal parathyroid glands using intraoperative autofluorescence signals

Abstract

Visual artificial intelligence platforms may be used to compare the autofluorescence signal of a given parathyroid gland against a large database. This may be a new adjunctive tool for intraoperative assessment of parathyroid glands during surgical exploration for primary hyperparathyroidism.