Recognition of types and frequency of incidental findings in cancer staging CT should be essential for future artificial intelligence development

Clin Imaging. 2023 Jul:99:31-32. doi: 10.1016/j.clinimag.2023.04.005. Epub 2023 Apr 8.

¹ Department of Radiology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, Akita 010-8543, Japan. Electronic address: motoko@med.akita-u.ac.jp.
² Department of Radiology, Omagari Kousei Medical Center, 8-65, Omagari, Tori-cho, Daisen, Akita 0140027, Japan. Electronic address: a-anbai@okmc.jp.
³ Department of Clinical Oncology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, Akita 010-8543, Japan.
⁴ Department of Radiology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, Akita 010-8543, Japan. Electronic address: naokomori7127@gmail.com.

No abstract available

Keywords: Artificial intelligence; Computed tomography; Incidental findings; Pulmonary vein thrombosis.

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