Artificial intelligence in cancer pathology: Challenge to meet increasing demands of precision medicine

  • Authors:
    • Boan Lai
    • Jianjiang Fu
    • Qingxin Zhang
    • Nan Deng
    • Qingping Jiang
    • Juan Peng
  • View Affiliations

  • Published online on: August 1, 2023     https://doi.org/10.3892/ijo.2023.5555
  • Article Number: 107
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Abstract

Clinical efforts on precision medicine are driving the need for accurate diagnostic, new prognostic and novel drug predictive assays to inform patient selection and stratification for disease treatment. Accumulating evidence suggests that a combination of cancer pathology and artificial intelligence (AI) can meet this requirement. In the present review, the past, present and emerging integrations of AI into cancer pathology were comprehensively reviewed, which were divided into four main groups to highlight the roles of AI‑integrated cancer pathology in precision medicine. Furthermore, the unsolved problems and future challenges in AI‑integrated cancer pathology were also discussed. It was found that, although AI‑integrated cancer pathology could enable the amalgamation of complex morphological phenotypes with the multi‑omics datasets that drove precision medicine, synergies of cancer pathology with other medical tools could be more promising for the clinic when making an accurate and rapid decision in personalized treatments for patients. It was hypothesized by the authors that exploring the potential advantages of the multimodal integration of cancer pathology, imaging‑omics, protein‑omics and other‑omics, as well as clinical data to decide upon appropriate management and improve patient outcomes may be the most challenging issue of cancer precision medicine in the future.
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September-2023
Volume 63 Issue 3

Print ISSN: 1019-6439
Online ISSN:1791-2423

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Copy and paste a formatted citation
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Spandidos Publications style
Lai B, Fu J, Zhang Q, Deng N, Jiang Q and Peng J: Artificial intelligence in cancer pathology: Challenge to meet increasing demands of precision medicine. Int J Oncol 63: 107, 2023.
APA
Lai, B., Fu, J., Zhang, Q., Deng, N., Jiang, Q., & Peng, J. (2023). Artificial intelligence in cancer pathology: Challenge to meet increasing demands of precision medicine. International Journal of Oncology, 63, 107. https://doi.org/10.3892/ijo.2023.5555
MLA
Lai, B., Fu, J., Zhang, Q., Deng, N., Jiang, Q., Peng, J."Artificial intelligence in cancer pathology: Challenge to meet increasing demands of precision medicine". International Journal of Oncology 63.3 (2023): 107.
Chicago
Lai, B., Fu, J., Zhang, Q., Deng, N., Jiang, Q., Peng, J."Artificial intelligence in cancer pathology: Challenge to meet increasing demands of precision medicine". International Journal of Oncology 63, no. 3 (2023): 107. https://doi.org/10.3892/ijo.2023.5555