An Update on the Use of Artificial Intelligence in Digital Pathology for Oral Epithelial Dysplasia Research

Alajaji, Shahd A.; Khoury, Zaid H.; Jessri, Maryam; Sciubba, James J.; Sultan, Ahmed S.

doi:10.1007/s12105-024-01643-4

Head and Neck Pathol

2024

DOI: 10.1007/s12105-024-01643-4

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An Update on the Use of Artificial Intelligence in Digital Pathology for Oral Epithelial Dysplasia Research

Shahd A. Alajaji,

Zaid H. Khoury,

Maryam Jessri

et al.

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Artificial intelligence facilitates clinical management of epithelial dysplasia in multiple organs

Cai

2024

Explor Digit Health Technol

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Epithelial dysplasia is a condition characterized by a spectrum of architectural and cytological alterations to the epithelium, resulting from the accumulation of genetic alterations. It is associated with an increased risk of cancer progression in a variety of organs. However, the variability of different grading systems, as well as inter- and intra-examiner variability, gives rise to concerns regarding the reliability of the results. Histopathology represents the gold standard for the diagnosis of epithelial dysplasia. The combination of big data in pathology and artificial intelligence (AI) will facilitate the achievement of accurate diagnoses and treatments, providing objective and efficient methods to integrate and refine diverse morphological, molecular, and multi-omics information. This perspective provides a summary of the existing research and prospects for the application of AI to epithelial dysplasia in multiple organs. A number of studies have been conducted with the aim of developing a grading system and prognostic identification method for epithelial dysplasia in the oral cavity, larynx, esophagus, and stomach. Digital pathology-based AI may prove useful in facilitating the clinical management of epithelial dysplasia in multiple organs. In summary, digital pathology images obtained by scanning hematoxylin & eosin-stained slides, identifying image features, and building AI models using deep learning combined with machine learning algorithms, validated with real-world data from multicenter cohorts could provide AI as a promising clinical application in the future.

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Artificial intelligence facilitates clinical management of epithelial dysplasia in multiple organs

Cai

2024

Explor Digit Health Technol

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An Update on the Use of Artificial Intelligence in Digital Pathology for Oral Epithelial Dysplasia Research

Cited by 1 publication

References 67 publications

Artificial intelligence facilitates clinical management of epithelial dysplasia in multiple organs

Artificial intelligence facilitates clinical management of epithelial dysplasia in multiple organs

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