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Diagnostic performance of AI-assisted intraoperative imaging for parathyroid identification: a systematic review | Synapse
March 3, 2026
Diagnostic performance of AI-assisted intraoperative imaging for parathyroid identification: a systematic review
DG
Daniel Gomez-Carrillo
RR
Raj S. Roy
University of Alabama at Birmingham
AI
Azeem Izhar
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Key Points
AI-assisted imaging shows a significant improvement in diagnostic performance for identifying parathyroids during surgery.
Findings indicate that the use of AI-assisted tools can lead to better outcomes during intraoperative parathyroid identification procedures.
Assessment involved a systematic review analyzing various studies focused on the efficacy of AI-assisted imaging techniques.
Enhancements in identification accuracy may enable reduced complications and improved surgical precision for parathyroid surgeries.
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Gomez-Carrillo et al. (Sat,) studied this question.
synapsesocial.com/papers/69a75f65c6e9836116a2abd1
https://doi.org/https://doi.org/10.1016/j.amjsurg.2026.116853