Application of deep learning as an ancillary diagnostic tool for thyroid FNA cytology.

Mitsuyoshi Hirokawa Hirohiko Niioka Ayana Suzuki Masatoshi Abe Yusuke Arai Hajime Nagahara Akira Miyauchi Takashi Akamizu

Published in: Cancer cytopathology (2022)

The authors developed an AI-based approach to analyze thyroid FNAC cases encountered in routine practice. This analysis could be useful for the clinical management of AUS and follicular neoplasm nodules (e.g., an online AI platform for thyroid cytology consultations).

Keyphrases

fine needle aspiration
artificial intelligence
deep learning
high grade
healthcare
primary care
low grade
machine learning
clinical practice
quality improvement