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Skip search results from other journals and go to results- 2 JMIR Dermatology
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Artificial Intelligence in Lymphoma Histopathology: Systematic Review
However, although many research models of artificial intelligence (AI) applied to lymphoma histopathology have been published, it is unclear whether there are methodological biases in these models, and the clinical utility of AI applied to lymphoma histopathology has not been summarized.
J Med Internet Res 2025;27:e62851
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Histopathology and immunohistochemistry are often crucial for diagnosis of cutaneous disease. Histologically, tumors typically show circumcised nodules with an overlying acanthotic epidermis. A mixture of pleomorphic spindle and epithelioid cells with sharply eosinophilic cytoplasm will be present, typically embedded in a myxoid or hyaline matrix [8]. Cells typically stain positive for CD31, CD34, factor VIII-related antigen, α-smooth muscle actin, and cytokeratin [6,7].
JMIR Dermatol 2024;7:e52493
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Merkel Cell Carcinoma on the Face: Case Report
histopathology
JMIR Dermatol 2024;7:e56658
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Searches were developed for the concepts of artificial intelligence and histopathology. Subject headings and free text words were identified for use in the search concepts by an information specialist (JW) and project team members. Further terms were identified and tested from known relevant papers. Search results were limited to English-language publications. We also limited search results to publications published since 2000, given the recent development of AI in pathology.
J Med Internet Res 2023;25:e38039
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In fact, the diagnosis of 90% of notified LNTB cases is established through histopathology testing; bacteriological evidence contributes rarely to setting the diagnosis of LNTB [5]. Histopathology tests typically show epithelioid granulomas with or without caseous necrosis, which are usually used by clinicians as a strong argument to establish the diagnosis of TB.
JMIR Public Health Surveill 2019;5(4):e14252
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