Source: Intelligent Theory of Relativity (ID: aixdlun) Imagine that you go to a hospital to see a doctor. Once you enter the door of the clinic, a nurse will take pictures of you constantly. Then these photos will be uploaded to an AI device. The device will be based on your appearance in the photo. Diagnosis... And no professional human doctor will appear throughout the process. Is it incredible? Even though AI medical development is very fast now, some AIs have reached different levels in the medical field, such as AI recognition medical imaging, drug development, and auxiliary diagnosis. However, these AIs play an auxiliary role, and the final decision is still responsible. people. It seems that AI has been certified to work on a clinical basis and has never seen it before. However, such a "care model" may have begun to sprout. Recently, the US Food and Drug Administration (FDA) approved for the first time an artificial intelligence diagnostic device, IDx-DR, which can detect an ophthalmic disease by observing photos of the retina without the involvement of an expert doctor. In other words, this AI device called IDx-DR actually got a job certificate and became a real "doctor." Scientists continue to break through one technical obstacle after another. While we are happy, we also have hidden concerns. The road to medical AI is getting smoother and smoother, but now it is appropriate to have an independent AI doctor. AI doctors want to be "independent" and lack a complete industrial chain Intelligent relativity (ID: aixdlun) analyst Yan Wei believes that if we want AI doctors to be independent, we must thoroughly study the industrial layout and the coordination and symbiotic development of each link of each industrial chain from the beginning, otherwise there is only one inside. Poor development of the link will lead to a breakdown between the upstream and downstream of the structure of smart medical care, which may also be hampered by technical ethical issues. 1. There is no uniform standard for landing From the perspective of the patient or other medical use, medical AI does not have a particularly large change in a short period of time. Because the certificate is not approved, and how to approve the certificate for an AI doctor is also vague. What is the standard for AI doctors to pass? Is the precision of the device or the correct rate of diagnosis? Even with the FDA-approved IDx-Dr, in a clinical trial using more than 900 images, the correct rate of detection of retinopathy was only 87%. In the final analysis, whether AI doctors can land is not a question of whether the machine is a philosophical question, or whether the administration is authorized. In the medical field, the landing of a product must include licenses, medical rigor, and the appointment of an independent AI doctor may have a long way to go. 2. "After-sales" service is not easy to handle In real life, the patient has encountered a doctor misdiagnosis, can ask the hospital to compensate or dispose of the doctor; the doctor will treat you, and it is almost possible to cure 3 in 5 cases. However, Dr. AI has given you a medical treatment. It may be wrong in 100. What would the only one who was mistaken? If you encounter a doctor who is not good enough, you can still laugh at yourself. I am afraid that I am not so tolerant when I encounter a misdiagnosed AI doctor. First of all, it is indispensable to chase the hospitals and manufacturers. Then, what should I do? The "culprit" AI has not been dealt with anything. Is this AI doctor destroyed? Or format the "mind" of this AI doctor to show punishment? However, it seems inappropriate to erase the credit of 99 patients correctly. Moreover, in medicine, with the accumulation of electronic medical records and digital film, a large number of structured cases are used for machine learning. For AI doctors, the big data of this model training is at least 100,000 copies. AI is the result of a collective delivery. From the development of programs and algorithms to mechanical installation, the cost of disposing of an AI doctor is difficult to calculate. Assume that the patient's family is angry and angry, and I am afraid that I will receive an expensive bill. Therefore, if the AI ​​fails, the powers and responsibilities can be borne by the hospital and the company, but what should be done to calm the patient's anger for this "mistaken" machine? 3. AI doctor turns "patient" into "consumer" The medical industry has a feature, and core services are provided by a single professional technician. When we go to the hospital to see a doctor, we care about which doctor visits, and will compare the doctor's word of mouth. The service location and the institution will affect our evaluation to a large extent. The hospital brand will guide patients' decision-making. Doctors in the top three hospitals and doctors in the dimethyl hospitals are more likely to choose who is the primary doctor? Once you have an autonomous AI doctor, AI no longer uses high-tech medical equipment as a gimmick for hospitals and a tool to improve the efficiency of doctors. Instead, it enters an independent diagnosis and becomes a "professional." Although the core services are still provided by a single professional technician, the service location and medical institutions seem to be less important, and the innovator's voice will be even greater. The company that leads the patient's medical treatment will be the company that produces the AI ​​doctor. In this way, the patient's identity will be closer to the "consumer." After entering the consumer, the doctor-patient relationship will become cold. Bsd Camera,Bsd Camera For Truck,Waterproof Bsd Camera,Vehicle Bsd Camera System Vsstech Co.,Ltd. , https://www.vsstechcctv.com