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,
