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野中 康一
Department School of Medicine(Tokyo Women's Medical University Hospital), School of Medicine Position Professor |
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| Article types | Original article |
| Language | English |
| Peer review | Non peer reviewed |
| Title | Current Status and Future Perspectives of Artificial Intelligence in Colonoscopy. |
| Journal | Formal name：Journal of clinical medicine Abbreviation：J Clin Med ISSN code：20770383/20770383 |
| Domestic / Foregin | Foregin |
| Volume, Issue, Page | 11(10),pp.2923 |
| Author and coauthor | KAMITANI Yu, NONAKA Kouichi, ISOMOTO Hajime |
| Authorship | Last author |
| Publication date | 2022/05 |
| Summary | The early endoscopic identification, resection, and treatment of precancerous adenoma and early-stage cancer has been shown to reduce not only the prevalence of colorectal cancer but also its mortality rate. Recent advances in endoscopic devices and imaging technology have dramatically improved our ability to detect colorectal lesions and predict their pathological diagnosis. In addition to this, rapid advances in artificial intelligence (AI) technology mean that AI-related research and development is now progressing in the diagnostic imaging field, particularly colonoscopy, and AIs (i.e., devices that mimic cognitive abilities, such as learning and problem-solving) already approved as medical devices are now being introduced into everyday clinical practice. Today, there is an increasing expectation that sophisticated AIs will be able to provide high-level diagnostic performance irrespective of the level of skill of the endoscopist. In this paper, we review colonoscopy-related AI research and the AIs that have already been approved and discuss the future prospects of this technology. |
| DOI | 10.3390/jcm11102923 |
| PMID | 35629049 |