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

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Previous work demonstrated that abnormal versus normal parathyroid glands (PGs) exhibit different patterns of autofluorescence, with former appearing darker and more heterogenous. Our objective was to develop a visual artificial… Click to show full abstract

Previous work demonstrated that abnormal versus normal parathyroid glands (PGs) exhibit different patterns of autofluorescence, with former appearing darker and more heterogenous. Our objective was to develop a visual artificial intelligence model using intraoperative autofluorescence signals to predict whether a PG is abnormal (hypersecreting and/or hypercellular) or normal before excision during surgical exploration for primary hyperparathyroidism.

Keywords: using intraoperative; abnormal versus; intraoperative autofluorescence; parathyroid glands; normal parathyroid; versus normal

Journal Title: Journal of Surgical Oncology
Year Published: 2022

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