"Artificial histology" in colonic Neoplasia: A critical approach.

Journal: Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
PMID: 39616091

Abstract

BACKGROUND: The histological assessment of colorectal precancer and cancer lesions is challenging and primarily impacts the clinical strategies of secondary colon cancer prevention. Artificial intelligence (AI) models may potentially assist in the histological diagnosis of this spectrum of phenotypical changes.

Authors

  • Gavino Faa
    Department of Pathology, 09100, AOU of Cagliari, Italy.
  • Matteo Fraschini
    Dipartimento di Ingegneria Elettrica ed Elettronica, Università degli Studi di Cagliari, 09123 Cagliari, Italy.
  • Luca Didaci
    Dipartimento di Ingegneria Elettrica ed Elettronica, Università degli Studi di Cagliari, 09123 Cagliari, Italy.
  • Luca Saba
    Department of Radiology, A.O.U., Italy.
  • Mario Scartozzi
    Department of Radiology, A.O.U, di Cagliari-Polo di Monserrato s.s, 09124, Cagliari, Italy.
  • Enrico Orvieto
    Department of Pathology, ULSS 8 Berica, San Bortolo Hospital, 36100 Vicenza, Italy. Electronic address: enrico.orvieto@aulss8.veneto.it.
  • Massimo Rugge

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