Application of Artificial Intelligence in Oral Pathology
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Recently, with the development of information science and technology, data has exploded in various fields, and big data is being analyzed and interpreted in each field and widely used. Although the use of artificial intelligence (AI) in oral pathology is still in its infancy, many attempts are being made to diagnose and evaluate through automated image analysis after using a slide scanner to store the whole histopathologic slides as a digital image. In particular, in the field of oral cancer diagnosis, attempts are being made to increase accuracy by adding meaningful information such as clinical characteristics and radiologic images to these digital images to enable more accurate diagnosis through analysis and processing. In this paper, we will discuss the current uses, limitations, and future roles of AI in oral pathology.
Abstract
Recently, with the development of information science and technology, data has exploded in various fields, and big data is being analyzed and interpreted in each field and widely used. Although the use of artificial intelligence (AI) in oral pathology is still in its infancy, many attempts are being made to diagnose and evaluate through automated image analysis after using a slide scanner to store the whole histopathologic slides as a digital image. In particular, in the field of oral cancer diagnosis, attempts are being made to increase accuracy by adding meaningful information such as clinical characteristics and radiologic images to these digital images to enable more accurate diagnosis through analysis and processing. In this paper, we will discuss the current uses, limitations, and future roles of AI in oral pathology.
참고문헌 (11)
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