cirpublications.com-ixTr-1790913210-c257477447 1790913210 Clinical Intelligence Research Press info@cirpublications.com Clinical Intelligence Research Press Journal of Health Informatics and Digital Systems J. Health Inform. Digit. Syst. 3149-8973 2026 6 1 Yordan Ivanov Petar Petrov 2026 10.68159/c257477447 https://cirpublications.com/pub/journal/2/article/c257477447 Fraggetta F, L’Imperio V, Ameisen D, Carvalho R, Leh S, Kiehl TR, et al. Best practice recommendations for the implementation of a digital pathology workflow in the anatomic pathology laboratory by the European Society of Digital and Integrative Pathology (ESDIP). Diagnostics (Basel). 2021;11(11):2167. 10.3390/diagnostics11112167 Aggarwal A, Bharadwaj S, Corredor G, Pathak T, Badve S, Madabhushi A. Artificial intelligence in digital pathology—time for a reality check. Nat Rev Clin Oncol. 2025;22(4):283-91. 10.1038/s41571-025-00991-6 Colling R, Pitman H, Oien K, Rajpoot N, Lucklin P, Bachtiar V, et al. Artificial intelligence in digital pathology: a roadmap to routine use in clinical practice. J Pathol. 2019;249(2):143-50. 10.1002/path.5310 Parwani AV. Next generation diagnostic pathology: use of digital pathology and artificial intelligence tools to augment a pathological diagnosis. Diagn Pathol. 2019;14:138. 10.1186/s13000-019-0921-2 Shafi S, Parwani AV. Artificial intelligence in diagnostic pathology. Diagn Pathol. 2023;18(1):109. 10.1186/s13000-023-01375-z Viswanathan VS, Toro P, Corredor G, Mukhopadhyay S, Madabhushi A. The state of the art for artificial intelligence in lung digital pathology. J Pathol. 2022;257(4):413-29. 10.1002/path.5966 Rienda I, Vale J, Pinto J, Polónia A, Eloy C. Using artificial intelligence to prioritize pathology samples: report of a test drive. Virchows Arch. 2025;487:203-8. 10.1007/s00428-024-03988-1 McGenity C, Clarke EL, Jennings C, Matthews G, Cartlidge C, Freduah-Agyemang H, et al. Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy. npj Digit Med. 2024;7:114. 10.1038/s41746-024-01106-8 Kim I, Kang K, Song Y, Kim TJ. Application of artificial intelligence in pathology: trends and challenges. Diagnostics (Basel). 2022;12(11):2794. 10.3390/diagnostics12112794 Jahn SW, Plass M, Moinfar F. Digital pathology: advantages, limitations and emerging perspectives. J Clin Med. 2020;9(11):3697. 10.3390/jcm9113697 Wong ANN, He Z, Leung KL, To CCK, Wong CY, Chan AZ, et al. Current developments of artificial intelligence in digital pathology and its future clinical applications in gastrointestinal cancers. Cancers (Basel). 2022;14(15):3780. 10.3390/cancers14153780 Song AH, Jaume G, Williamson DFK, Lu MY, Vaidya A, Miller TR, et al. Artificial intelligence for digital and computational pathology. Nat Rev Bioeng. 2023;1:930-49. 10.1038/s44222-023-00096-8 Sankarapandian S, Arabyarmohammadi S, Csonka N, Kone W, Hecksher-Sørensen A, Kristensen S, et al. A pathology deep learning system capable of triage of melanoma specimens utilizing dermatopathologist consensus as ground truth. Proc IEEE Int Conf Comput Vis Workshops. 2021:629-38. 10.1109/ICCVW54120.2021.00073 Bera K, Schalper KA, Rimm DL, Velcheti V, Madabhushi A. Artificial intelligence in digital pathology—new tools for diagnosis and precision oncology. Nat Rev Clin Oncol. 2019;16(11):703-15. 10.1038/s41571-019-0252-y Hijazi A, Bifulco C, Baldin P, Galon J. Digital pathology for better clinical practice. Cancers (Basel). 2024;16(9):1686. 10.3390/cancers16091686 Go H. Digital pathology and artificial intelligence applications in pathology. Brain Tumor Res Treat. 2022;10(1):1-8. 10.14791/btrt.2022.10.e1 Hanna MG. Digital pathology and artificial intelligence in breast pathology. Surg Pathol Clin. 2025;18(4):791-804. 10.1016/j.path.2025.07.002 Niazi MKK, Parwani AV, Gurcan MN. Digital pathology and artificial intelligence. Lancet Oncol. 2019;20(5):e253-e261. 10.1016/S1470-2045(19)30154-8 Pallua JD, Brunner A, Zelger B, Schirmer M, Haybaeck J. The future of pathology is digital. Pathol Res Pract. 2020;216(9):153040. 10.1016/j.prp.2020.153040 Schukow CP, Allen TC. Digital and computational pathology are pathologists’ physician extenders. Arch Pathol Lab Med. 2024;148(8):866-8. 10.5858/arpa.2023-0465-ED Mayall FG, Goodhead MD, de Mendonça L. Artificial intelligence-based triage of large bowel biopsies can improve workflow. J Pathol Inform. 2023;14:100281. 10.1016/j.jpi.2022.100281 Steiner DF, Chen PHC, Mermel CH. Closing the translation gap: AI applications in digital pathology. Biochim Biophys Acta Rev Cancer. 2021;1875(1):188452. 10.1016/j.bbcan.2020.188452 Hanna MG, Ardon O. Digital pathology systems enabling quality patient care. Genes Chromosomes Cancer. 2023;62(11):685-97. 10.1002/gcc.23192 Cui M, Zhang DY. Artificial intelligence and computational pathology. Lab Invest. 2021;101(4):412-22. 10.1038/s41374-020-00514-0 Nakagawa K, Moukheiber L, Celi LA, Patel M, Talbot S, Zale M, et al. AI in pathology: what could possibly go wrong? Semin Diagn Pathol. 2023;40(2):100-8. 10.1053/j.semdp.2023.02.006 Browning L, Colling R, Rakha E, Rajpoot N, Rittscher J, James JA, et al. Digital pathology and artificial intelligence will be key to supporting clinical and academic cellular pathology through COVID-19 and future crises: the PathLAKE perspective. J Clin Pathol. 2021;74(7):443-7. 10.1136/jclinpath-2020-206877 Hanna MG, Ardon O, Reuter VE, Sirintrapun SJ, England C, Klimstra DS, et al. Integrating digital pathology into clinical practice. Mod Pathol. 2022;35(2):152-64. 10.1038/s41379-021-00929-0 Challa B, Tahir M, Hu Y, Kellough D, Lujan G, Sun S, et al. Artificial intelligence-aided diagnosis of breast cancer lymph node metastasis on histologic slides in a digital workflow. Mod Pathol. 2023;36(11):100301. 10.1016/j.modpat.2023.100301 German JC, Stirling A, Gorgone P, Brucker AR, Huang A, Dash S, et al. Interactive visualization tool to understand and monitor health disparities in diabetes care and outcomes. J Clin Transl Sci. 2024;8(1):e102. 10.1017/cts.2024.542