2019
DOI: 10.1093/eurpub/ckz185.099
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Telepathology and second opinion for cancer diagnosis in sub-Saharan French-speaking countries

Abstract: Many healthcare disparities can be described to explain cancer prevalence differences between developed and developing countries. Telepathology, telemedicine declination consisting in the transmission of digital images from a classical optical microscope combined with a digital camera linked to a computer, could offer a healthcare solution by enabling efficient communication between physicians and reinforcing multidisciplinary approaches. This study evaluated a pilot telepathology project using the ‘i-Path’ pl… Show more

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“…To address the limitations of variability in diagnostic capabilities and pathologist expertise across institutions, especially in lymphoma diagnosis, and the missed opportunity for enhancing diagnostic reliability through standardized assessments, the incorporation of telepathology and AI tools in future investigations could be pivotal. Telepathology has been shown to enable the real-time interpretation of tissue biopsies and immunohistochemistry, facilitate accurate diagnoses, and potentially standardize assessments 44 , 45 . Additionally, AI tools have the potential to enhance diagnostic accuracy by leveraging large datasets and transfer learning techniques to improve classification performance significantly 46 , 47 .…”
Section: Discussionmentioning
confidence: 99%
“…To address the limitations of variability in diagnostic capabilities and pathologist expertise across institutions, especially in lymphoma diagnosis, and the missed opportunity for enhancing diagnostic reliability through standardized assessments, the incorporation of telepathology and AI tools in future investigations could be pivotal. Telepathology has been shown to enable the real-time interpretation of tissue biopsies and immunohistochemistry, facilitate accurate diagnoses, and potentially standardize assessments 44 , 45 . Additionally, AI tools have the potential to enhance diagnostic accuracy by leveraging large datasets and transfer learning techniques to improve classification performance significantly 46 , 47 .…”
Section: Discussionmentioning
confidence: 99%