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Understanding the genetics behind thyroid cancer to prevent unnecessary invasive treatments

Researchers at the University of Colorado School of Medicine are hopeful new research could prevent up to 130,000 unneeded fine-needle aspiration (FNA) biopsies of thyroid nodules and subsequent surgeries each year in the United States by better understanding the genetic risk associated with thyroid cancer.

United-states , Colorado , Bryan-haugen , Nikita-pozdeyev , Chris-gignoux , Colorado-center , University-of-colorado-anschutz-medical-campus , Department-of-medicine , Division-of-endocrinology , National-institutes-of-health , University-of-colorado-school-medicine , Department-of-biomedical-informatics

Ultrasound-based AI classifier of thyroid nodules can help rule out cancer, avoid unnecessary biopsies

Artificial intelligence (AI) can be used to identify thyroid nodules seen on thyroid ultrasound that are very unlikely to be cancerous, reducing a large number of unnecessary biopsies, according to a new study being presented Saturday at ENDO 2022, the Endocrine Society's annual meeting in Atlanta, Ga.

Nikita-pozdeyev , Emily-henderson , Endocrine-society , Colorado-anschutz-medical-campus , Thyroid , Rtificial-intelligence , Iopsy , Ancer , Ndocrine , Ormone , Achine-learning , H

AI can be used to identify benign thyroid nodules and reduce unnecessary biopsies

AI can be used to identify benign thyroid nodules and reduce unnecessary biopsies
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Nikita-pozdeyev , Endocrine-society , Colorado-anschutz-medical-campus ,

Artificial Intelligence Helps Identify Benign Thyroid Nodules

Artificial intelligence (AI) pinpoints thyroid nodules noticed on thyroid ultrasound that are unlikely to be cancerous.

Nikita-pozdeyev , Colorado-anschutz-medical-campus , Artificial-intelligence , Hyroid-nodules , Achine-learning , Hyroid-cancer ,