AI tool could reduce unnecessary thyroid biopsies

The algorithm achieved a sensitivity comparable to that of fine-needle aspiration biopsy, researchers say

A machine-learning algorithm that analyses thyroid-nodule ultrasound images can correctly identify cancer as accurately as a thyroid biopsy with fine-needle aspiration, a study shows.

US clinicians say their AI tool could help endocrinologists and radiologists in choosing which thyroid nodules should undergo biopsy, especially those who may not review a large volume of thyroid ultrasounds.

“We believe this is a good next step to improving patient care and avoiding unnecessary procedures,” lead researcher Dr Nikita Pozdeyev,

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