Clinical Application of Artificial Intelligence in PET Imaging of Head and Neck Cancer

Seyed Mohammad H Gharavi; Armaghan Faghihimehr

doi:10.1016/j.cpet.2021.09.004

Clinical Application of Artificial Intelligence in PET Imaging of Head and Neck Cancer

PET Clin. 2022 Jan;17(1):65-76. doi: 10.1016/j.cpet.2021.09.004.

Authors

Seyed Mohammad H Gharavi¹, Armaghan Faghihimehr²

Affiliations

¹ Virginia Commonwealth University, VCU School of Medicine, Department of Radiology, West Hospital, 1200 East Broad Street, North Wing, Room 2-013, Box 980470, Richmond, VA 23298-0470, USA. Electronic address: Seyedmohammad.gharavi@vcuhealth.org.
² Virginia Commonwealth University, VCU School of Medicine, Department of Radiology, West Hospital, 1200 East Broad Street, North Wing, Room 2-013, Box 980470, Richmond, VA 23298-0470, USA.

PMID: 34809871
DOI: 10.1016/j.cpet.2021.09.004

Abstract

Applications of "artificial intelligence" (AI) have been exponentially expanding in health care. Readily accessible archives of enormous digital data in medical imaging have made radiology a leader in exploring and taking advantage of this technology. AI-assisted radiology has paved the way toward another level of precision in medicine. In this article, the authors aim to review current AI applications in PET imaging of head and neck cancers, beginning with radiomics and followed by deep learning in each section.

Keywords: Artificial intelligence; Deep learning; Head and neck cancer; Neural network; PET.

Publication types

Review

MeSH terms

Artificial Intelligence
Head and Neck Neoplasms* / diagnostic imaging
Humans
Positron-Emission Tomography
Radiography
Radiology*