Chronic sinusitis is a highly heterogeneous disease involving nasal cavity and sinus mucosa, and it is one of the most common chronic respiratory inflammatory diseases. The prevalence rate in China is about 8%, and 20% of patients are chronic sinusitis complicated with nasal polyps. In order to make the classification and treatment of nasal polyps more efficient and accurate, the research team of the Third Affiliated Hospital of Sun Yat-sen University developed the first artificial intelligence pathological diagnosis system for chronic sinusitis. It is reported that the "Single Vision Home Edition" of the system has passed the clinical test, reaching the level of a senior pathologist, and has been tested and used in a number of 3A hospitals with 5G network systems in Guangdong-Hong Kong-Macao Greater Bay Area.
Patients with nasal polyps need comprehensive treatment mainly by surgery, but the curative effect is not satisfactory at present, and the postoperative recurrence rate is high. The reason is that there are different subtypes of nasal polyps, and the treatment methods and prognosis of different subtypes of nasal polyps are very different. Therefore, accurate classification and individualized treatment of nasal polyps is one of the main ideas to break through the bottleneck of curative effect of nasal polyps. However, at present, the commonly used manual diagnosis method is to randomly select 10 visual fields of nasal polyps slides under a microscope and calculate the number of inflammatory cells in them, which has huge workload, low accuracy and impossible to calculate the whole film.
The Third Hospital of Sun Yat-sen, in conjunction with Tsinghua Pearl River Delta Research Institute and other hospitals and research institutes, has developed and iterated (at the cellular level, molecular level/full film and single vision) an artificial intelligence pathological diagnosis system for chronic sinusitis, developed a "full film platform version" and a "single vision family version" of AI doctors for different application scenarios, and built a cloud platform.
Among them, the "full-film platform version" of AI doctor is an artificial intelligence pathological diagnosis system for nasal polyps based on full-film, and related research results have been published in high-level journals such as JACI, eBioMedicine, a The Lancet sub-journal, and Chinese Journal of Otolaryngology and Head and Neck Surgery. The "Single Vision Home Edition" system has been developed and tested. The AI doctor "Sandy" can accurately identify the common inflammatory cells of chronic sinusitis and generate the first artificial intelligence pathological diagnosis report of chronic sinusitis. According to the standard of senior pathologists, its accuracy has exceeded 90%, which is helpful for accurate diagnosis of chronic sinusitis and subsequent individualized medication guidance.
□ Zhou Jinan Zhen Xiaozhou
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