Objective: Human papillomavirus subtypes are predictive indicators of cervical intraepithelial neoplasia (CIN) progression. While colposcopy is also an essential part of cervical cancer prevention, its accuracy and reproducibility are limited because of subjective evaluation. This study aimed to develop an artificial intelligence (AI) algorithm that can accurately detect the optimal lesion associated with prognosis using colposcopic images of CIN2 patients by utilizing objective AI diagnosis. Methods: We identified colposcopic findings associated with the prognosis of patients with CIN2. We developed a convolutional neural network that can automatically detect the rate of high-grade lesions in the uterovaginal area in 12 segments. We finally evaluated the detection accuracy of our AI algorithm compared with the scores by multiple gynecologic oncologists. Results: High-grade lesion occupancy in the uterovaginal area detected by senior colposcopists was significantly correlated with the prognosis of patients with CIN2. The detection rate for high-grade lesions in 12 segments of the uterovaginal area by the AI system was 62.1% for recall, and the overall correct response rate was 89.7%. Moreover, the percentage of high-grade lesions detected by the AI system was significantly correlated with the rate detected by multiple gynecologic senior oncologists (r=0.61). Conclusion Our novel AI algorithm can accurately determine high-grade lesions associated with prognosis on colposcopic images, and these results provide an insight into the additional utility of colposcopy for the management of patients with CIN2.

We report three cases of depression, which were effectively treated with oriental medicine. All three patients were employees at the same workplace, which had a total of 17 employees. Case 1 was a 46-year-old, who had worked at the company for 20 years and complained of depression and insomnia. Case 2 was a 28-year-old woman, who had worked at the company for 9 years and complained of nausea and mood disturbance. Case 3 was a 41-year-old man, who had worked at the company for 15 years and complained of restlessness, insomnia, and depression. The three patients were treated with yokukansan and yokukansankachimpihange, which are Kampo formulations, and subsequently showed improvements in symptoms. In choosing prescriptions for these patients, we considered the fact that all three patients worked in the same workplace. Yokukansan is traditionally co-administered to mother and her child. Furthermore, Hoffman (1984) proposed the system of sharing emotional contagion in the field of neuropsychiatry. When considered holistically, medication shared by mother and child is an empirical treatment taking into account emotional contagion. This treatment is also considered applicable within a single community, such as the one in the same workplace. Shared medication that takes into account emotional contagion within the same workplace, could be useful as it was for our patients.

We treated dry eyes and eyestrains successfully with electrothermo-acupuncture and Kampo medicine. The case was a 41-year-old woman who was treated with a few eye drops. She came to our hospital to receive Kampo medicine because her photophobia and eye pain got worse. After taking shimbuto, her complaint got better with improving physical fatigue. Electrothermo-acupuncture was effective for photophobia and eye pain promptly and remarkably. After we added kihito to her, she did not need to use eye drops with improving bloody urine and sleeplessness. Photophobia and eye-ache are thought to be related to the trigeminal nerve system. In this case, we consider that the point of application of electrothermo-acupuncture is the trigeminal nerve system. At the same time, “rikan” and “hikyo” might be involved in this case with the general malaise of eye.