The chief physician of the Respiratory Department of Guizhou Provincial People's Hospital provides treatment recommendations to patients at Longli County People's Hospital through a 5G+remote medical platform. Xinhua News Agency reporter Tao Liang said, "Our team has recently produced a very promising achievement, which uses generative artificial intelligence to obtain information about the subject's blood sugar, blood pressure, blood lipids, etc. through a single eye photo." Recently, Wang Ningli, a member of the National Committee of the Chinese People's Political Consultative Conference and the Dean of the School of Ophthalmology at Capital Medical University, introduced it in an interview with reporters. The use of artificial intelligence in health assessment is a vivid portrayal of digital medical technology improving the health level of the people. Surgical robots, telemedicine, wearable devices... In recent years, digital medical technology has continuously expanded in the fields of disease diagnosis, clinical treatment, and patient rehabilitation, making health services more high-quality and accessible. Early screening, diagnosis, and treatment are crucial for cancer patients to assist doctors in diagnosing diseases. Precision prevention has become a new trend in cancer prevention and control. Nowadays, artificial intelligence imaging has become the "second brain" of doctors. Zhao Jun, former director of Jiangsu Provincial People's Hospital, introduced that accurate detection of nodules is the first step in diagnosing lung cancer during early screening. However, pulmonary nodules, especially small pulmonary nodules, are not easily distinguishable, and reviewing doctors may overlook them due to fatigue or lack of experience. At this point, the "lung nodule artificial intelligence system" that uses deep learning technology for lung nodule detection and screening comes in handy. In clinical applications, this system can assist in the diagnosis and labeling of pulmonary nodules, reduce the workload of doctors, and reduce the probability of misdiagnosis. At present, artificial intelligence technology has achieved phased results in the diagnosis of ophthalmic diseases. The incidence rate of angle closure glaucoma in people over 40 years old in China is about 2%. To assist this group of patients, Wang Ningli devoted himself to researching efficient and convenient screening techniques for angle closure glaucoma. "Now, taking a photo of the eyes with a mobile phone and using relevant data models, it takes less than a minute to determine whether the person is at risk of developing angle closure glaucoma and whether they need to go to the hospital. This screening method can effectively prevent patients from losing sight due to missing the window period," said Wang Ningli. Heart disease patients can also enjoy the convenience brought by digital medical technology. Zhang Junjie, a National People's Congress representative and Vice President of Nanjing First Hospital, told reporters that taking patients with heart failure as an example, using wearable devices, doctors can monitor the patient's pulmonary artery pressure in real time and predict the probability of heart failure and malignant arrhythmia based on this. "Once abnormalities are detected, early intervention and treatment can be carried out to safeguard the patient's health," said Zhang Junjie. By utilizing artificial intelligence technology, early screening and treatment of cerebrovascular diseases can be achieved. Wang Yongjun, the director of Beijing Tiantan Hospital affiliated with Capital Medical University, stated in an interview with reporters that the use of artificial intelligence technology can quantitatively analyze the level of brain health. "If the results of brain health analysis indicate a risk of developing cerebrovascular diseases, early intervention can be taken," said Wang Yongjun. Diagnosis of eye diseases through photos, real-time monitoring of the heart through wearable devices, and various deep learning based artificial intelligence technologies are gradually becoming helpers to assist doctors in diagnosing diseases. Promote governance