Update Concerning Digital Pathology and Artificial Intelligence Application

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  • Uegami Wataru
    Department of Pathology, Nagasaki University Graduate School of Biomedical Sciences Department of Anatomic Pathology, Kameda Medical Center
  • Sakamoto Taro
    Department of Pathology, Nagasaki University Graduate School of Biomedical Sciences
  • Kuroda Kishio
    Department of Pathology, Nagasaki University Graduate School of Biomedical Sciences Department of Anatomic Pathology, Kameda Medical Center
  • Fukuoka Junya
    Department of Pathology, Nagasaki University Graduate School of Biomedical Sciences Department of Anatomic Pathology, Kameda Medical Center

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  • 病理診断におけるデジタル化とAIの現状

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<p>The emergence of whole slide image technology has enabled us to make a pathological diagnosis via computer. The use of digital pathology is expanding into daily diagnoses, beyond merely functioning as support for remote institutes suffering from a shortage of pathologists. A large archival database of digital pathology images has now been developed, capable of functioning as the basis for image analyses using artificial intelligence (AI). At present, several AI applications have been reported, including ones for the detection of metastatic foci, counting tumor cells, and prediction of gene mutations. While rapid advancement in this field is expected to continue, most institutes are not prepared to introduce AI into their daily practice due to the inability to scan pathological specimens and obtain digital images. This limitation has slowed the spread of digitization. Furthermore, difficulty in developing training data and a lack of explainability have also hampered the development of AI in this field. Despite these challenges, AI is expected to play an integral role in making pathological diagnoses in the near future, requiring pathologists to invest in AI literacy to ensure effective management.</p>

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  • Haigan

    Haigan 60 (2), 81-89, 2020-04-20

    The Japan Lung Cancer Society

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