Digital pathology is a sub-field of pathology that focuses on managing and analyzing information generated from digitized specimen slides. It utilizes computer-based technology and virtual microscopy to view, manage, share, and analyze digital slides on computer monitors.[1] This field has applications in diagnostic medicine and aims to achieve more efficient and cost-effective diagnoses, prognoses, and disease predictions through advancements in machine learning and artificial intelligence in healthcare.[2][3]
- ^ Pantanowitz L (2018). "Twenty Years of Digital Pathology: An Overview of the Road Travelled, What is on the Horizon, and the Emergence of Vendor-Neutral Archives". Journal of Pathology Informatics. 9: 40. doi:10.4103/jpi.jpi_69_18. PMC 6289005. PMID 30607307.
- ^ "Whole Slide Imaging | MBF Bioscience". www.mbfbioscience.com. Retrieved 2019-12-02.
- ^ Saillard, Charlie; Dubois, Rémy; Tchita, Oussama; Loiseau, Nicolas; Garcia, Thierry; Adriansen, Aurélie; Carpentier, Séverine; Reyre, Joelle; Enea, Diana; von Loga, Katharina; Kamoun, Aurélie; Rossat, Stéphane; Wiscart, Corentin; Sefta, Meriem; Auffret, Michaël (2023-11-06). "Validation of MSIntuit as an AI-based pre-screening tool for MSI detection from colorectal cancer histology slides". Nature Communications. 14 (1): 6695. doi:10.1038/s41467-023-42453-6. ISSN 2041-1723. PMC 10628260. PMID 37932267.