医疗救治中，必然存在相关责任的明确和追责问题。对于人工智能在临床医疗中

In medical treatment, there must be responsible and accountable clear problem. For clinical application of artificial intelligence in medicine, at present it appears more acceptable to the patient supporting role in medical treatment, surgery and other important aspects of health care, the more work involved in artificial intelligence, the heavier the role occupied, patient acceptance instead, the lower [2]. <br>As for the AI to replace the doctor treating the patient, the patient is worried: worried about the sudden appearance of faults in the course of treatment, because of AI is to have algorithms, neural networks, and other computer operations is not the people, but can not communicate effectively; clinics and self-conceived program does not match, AI are high-tech products, worry about the high charges; without a doctor's high level of technology. From this perspective, the use of AI to replace doctors to see a doctor, there is still a large part of the concern. <br>Artificial intelligence involved medical imaging diagnosis and treatment, in fact, bear a part of the physician's work, making the original pattern of doctor-patient relationship has changed more than a medical system or artificial intelligence platform between doctors and patients, as well as artificial intelligence design manufacturers , which bring about a series of issues of division of responsibilities. When misdiagnosed, or missed when a system failure occurs in the diagnosis and treatment to the patient's diagnosis and treatment of diseases and health damaging, in the end who is responsible? Especially with the development of artificial intelligence, artificial intelligence will have more in the future increasingly powerful smart, in the medical activities occupy a more important role, therefore, it is necessary to strengthen the risk of liability under the regulation of medical artificial intelligence background to ensure the health rights of patients and the public. <br>Generally believed that artificial intelligence product itself does not have the ability to take responsibility, if it is because of quality problems lead to the loss of health care, should be responsible for its design manufacturers [3]. In the course of treatment, physicians should always assume lead responsibility for scientific thinking and clinical experience to rely on, take a good audit and gatekeepers.

In medical treatment, there is bound to be a clear and accountability problem of related responsibilities. For the application of artificial intelligence in clinical medicine, patients are now more receptive to it as a supporting role, in the medical links such as seeing a doctor, surgery and other important medical links, the more work that artificial intelligence involves, the heavier the role occupied, the lower the patient's acceptance.<br>And for AI to replace doctors to treat patients, so that patients are more worried: worry about sudden failure in the course of treatment, hindering AI is an algorithm, neural networks and other computer operations are not human, but can not carry out effective communication; No high level of skill for doctors. From this point of view, there are still a large part of concerns about the use of AI instead of doctors to see patients.<br>Artificial intelligence participation in the diagnosis and treatment of medical imaging, in fact, to assume the work of some doctors, so that the original pattern of doctor-patient relationship has changed, between doctors and patients more medical artificial intelligence platform or system, as well as artificial intelligence design manufacturers, which brings a series of responsibility division problems. Who is to be responsible for misdiagnosis, missed diagnosis, or systemic failure in a diagnosis and treatment that damages the patient's illness and physical health? Especially with the development of artificial intelligence technology, the future artificial intelligence will have more and more powerful intelligence, will occupy a more important role in medical activities, therefore, it is necessary to strengthen the medical artificial intelligence background of risk responsibility regulation, to ensure the health rights and interests of patients and the public.<br>It is generally accepted that a disinformation products do not have the capacity to take responsibility for themselves, and that in the case of medical losses due to their quality problems, it is the responsibility of their design manufacturers. In the course of diagnosis and treatment, doctors should always assume the leading responsibility, relying on scientific thinking and clinical experience, play a good role in auditing and clearance.

In the medical treatment, there must be the problem of clear responsibility and accountability. For the application of artificial intelligence in clinical medicine, at present, patients are more able to accept it as an auxiliary role. In the important medical links such as seeing a doctor and doing surgery, the more work artificial intelligence involves, the more important role it plays, the lower the patient's acceptance [2].<br>But for AI to replace doctors to treat patients, it makes patients more worried: worry about the sudden failure in the process of treatment, hinder AI is algorithm, neural network and other computer operation is not human, but can not carry out effective communication; diagnosis and treatment program is not consistent with self imagination, AI is a high-tech product, worried about the high cost; there is no high-level technology of doctors. From this point of view, there are still a lot of concerns about using AI to replace doctors to treat patients.<br>Artificial intelligence participates in medical image diagnosis and treatment, in fact, it undertakes the work of some doctors, which makes the original pattern of doctor-patient relationship changed. There are more medical artificial intelligence platforms or systems between doctors and patients, as well as artificial intelligence design manufacturers, which brings a series of responsibility division problems. In case of misdiagnosis, missed diagnosis or system failure in diagnosis and treatment, which will cause damage to patients' disease diagnosis and health, who is responsible? Especially with the development of artificial intelligence technology, artificial intelligence will have more and more powerful intelligence in the future, and will play a more important role in medical activities. Therefore, it is necessary to strengthen the risk responsibility under the background of medical artificial intelligence To ensure the health rights and interests of patients and the public.<br>Generally speaking, AI products themselves do not have the ability to bear the responsibility. If the medical loss is caused by its quality problem, its design manufacturer shall be responsible [3]. In the process of diagnosis and treatment, doctors should always take the leading responsibility, rely on scientific thinking and clinical experience, and play a good role in auditing and checking.<br>