Okayama University Research

Early Gastric Cancer Endoscopic Diagnosis System Using Artificial Intelligence - Seite 2

In addition, the correct diagnosis rate for deep-seated diagnosis of early gastric cancer as a combination of intramucosal cancer and submucosal invasion cancer was 72.8% in image units and 76.5% in case units.

Implications of the research

At present, gastroenterological endoscope medical diagnosis and treatment is based on experienced practicing physicians examining images.

As a result, the diagnostic ability of individual doctors varies, and with increases in the number of medical services in the future, there is concern about the possibility of oversight of cancer and increases in misdiagnosis. If automatic diagnosis of digestive tract endoscope images by AI is realized, then 'automated diagnosis logic' will be added to endoscope technology for real time diagnosis.

Automatic diagnosis will be possible and it will greatly improve the current status of relying on the diagnostic ability of individual endoscopy physicians.

Reference

Yoshiro Kawahara, Kenta Hamada, Hiroyuki Okada. 97th JGES, Tokyo , 2019 Mar 31.

Correspondence to

Professor Yoshiro Kawahara, M.D., Ph.D.
Department of Practical Gastrointestinal Endoscopy
Okayama University Graduate School of Medicine,
Dentistry, and Pharmaceutical Sciences, 2-5-1, 
Shikata-cho, Kita-ku, Okayama 700-8558, Japan.
E-mail: [e-mail]

About Okayama University

Okayama University is one of the largest comprehensive universities in Japan with roots going back to the Medical Training Place sponsored by the Lord of Okayama and established in 1870. Now with 1,300 faculty and 13,000 students, the University offers courses in specialties ranging from medicine and pharmacy to humanities and physical sciences. Okayama University is located in the heart of Japan approximately 3 hours west of Tokyo by Shinkansen.

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