The artificial intelligence such as cloud, 5G, IoT, AR, etc. lead people to explore prospective smart world, benefiting all humankind. The integration of high technology boosts the cost of health insurance accordingly. For example, the premiums of travel insurance in America (aka 美国旅游保险) and OPT insurance (aka opt 保险) have increased at least 15%, said a manager at a top health insurance enterprise in San Francisco.
Artificial intelligence is the inevitable tendency in the future world. Let’s think in this way: because of the integration of high technology, the benefits of international student health insurance (aka 留学生保险) will be more and better. Admittedly, everything has both positive and negative effects. The high cost might cause more students to waive health insurance (aka 替换保险) due to unaffordability.
Saving both doctors’ and patients’ time is one of the biggest advantages of artificial intelligence. For example, a patient schedules a dental visit in the United States (aka 美国看牙). The AI exams the patient before he/she sees the dentist. Patients with U.S. vision insurance (aka 美国眼科保险) can be diagnosed remotely.
In today’s 5G environment, Big data and artificial intelligence function together to fasten the analytics process. Data from the National Health Commission shows that China offered free cervical cancer checks to 85 million rural women from 2009 to 2018, to promote screening in impoverished areas. In addition, a report last year by state television broadcaster CCTV shows that China currently has about 10,000 licensed pathologists but still requires at least a further 90,000. The talent shortage has limited the promotion of cervical cancer screening, according to Li Yinghua, chief information officer of KingMed Diagnostics. The company expects the AI-assisted screening to help offset the shortage of well-trained pathologists, as well as expand the scope of early examination of cervical cancer in China.
In 2018, KingMed and Huawei agreed to cooperate in building an AI model for cervical cancer screening. Compared with AI models using CT or MRI images, the AI-assisted screening model for pathology is more complicated, as pathological images are richer in color, larger in size, and require higher precision so that doctors can see the abnormality of cells, said Luo. Many cancer patients have to take pathological examinations to know whether their tumors are malignant or benign. Pathological images are an important basis for doctors to make treatment plans.
To train, validate and test the AI, developers fed it with 32,000 samples collected by the company from six provinces in the past 12 years. The AI was built on the basis of ModelArts, an AI development platform developed by Huawei Cloud which turned the diagnostic experiences accumulated by experts into algorithms and models. With technologies such as data annotation, model training, image classification and case-based reasoning, the AI can automatically complete the diagnosis procedure, while the pathologists only need to review and confirm the positive cases, said Tu Dandan, a senior technical director of the Huawei Cloud.