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Cancer Cytopathology|June 1, 2026
Artificial intelligence-assisted urine cytology based on the Paris System for Reporting Urothelial CarcinomaLan Chen, Xinyi Cao, Zongyue Lu, et al.Cancer Cytopathology|June 27, 2026
Accurate focal-plane selection is crucial for artificial intelligence assessment of three-dimensional urine cytology specimens for bladder cancer screening and surveillanceYoseph Sayegh, Brody McNutt, Minh-Khang Le, et al.Cancer Cytopathology|December 27, 2022
Small volume biopsy diagnostic yield at initial diagnosis versus recurrence/transformation of follicular lymphoma: A retrospective Cyto-Heme Interinstitutional Collaborative studyMegan J Fitzpatrick, Vandana Sundaram, Amy Ly, et al.Cancer Cytopathology|June 14, 2017
Post-fine-needle aspiration biopsy communication and the integrated and standardized cytopathology reportMartha B Pitman, W Stephen Black-SchafferCancer Cytopathology|July 5, 2013
Improved laboratory resource utilization and patient care with the use of rapid on-site evaluation for endobronchial ultrasound fine-needle aspiration biopsyBrian T Collins, Alexander C Chen, Jeff F Wang, et al.Cancer Cytopathology|July 28, 2026
Screening efficiency over experience: Rapid target detection in low-power field as a modifiable cognitive biomarker for diagnostic accuracy in digital cytologyNaoya Abe, Yukari Nishimura, Kazuya Yamashita, et al.Cancer Cytopathology|August 6, 2026
Feasibility of routine clinical liquid-based cytology for lung cancer compact panel testingYoshiki Shinomiya, Kanako C Hatanaka, Asami Okumura, et al.Cancer Cytopathology|August 7, 2026
Diagnostic performance of artificial intelligence models trained on scattered single-cell images is not preserved for hyperchromatic crowded cell groups in cervical cytologyShinichi Tanaka, Yudai Yamamoto, Konatsu Yokota, et al.Cancer Cytopathology|August 20, 2026
Assessment of atypical glandular cell interpretation in Pap tests using the Hologic Genius Digital Diagnostics SystemTerri E Jones, Jonee Matsko, Daisy Wu, et al.Pageof 118