Can the " medical brain" be applied to practice to help doctors reduce the amount of tasks and correct diagnosis?

If you carefully observe the doctor's day, you will find that the doctor is actually doing a lot of repetitive work every day.

Repetitive labor is mainly reflected in the following three aspects: interaction, discovery and decision making, which can be competent for the machine:

Interaction level: the doctor's interrogative interaction with the patient at the time of the consultation, medication guidance for the patient, patient tracking, etc.;

Discovery level: mechanical repetitive labor of insurance auditors in the examination of medical insurance documents, proofreading of doctors on treatment plans, etc.;

Decision level: The doctor gives the diagnosis based on the patient's symptoms and examinations, and then writes appropriate treatment plans and recommendations based on the diagnosis.

On the whole, medicine is a knowledge-driven discipline. As long as we collect enough and reliable knowledge from multiple dimensions, we can exert great value in the auxiliary decision-making level and liberate medical personnel from complicated repetitive work. Then go for more creative things.

If artificial intelligence can be used to help doctors respond to symptoms and diseases in the vast medical knowledge, and even assist doctors in making decisions and drugs, it will undoubtedly improve the efficiency of medical resources. Kang Chaozi CEO Zhang Chao is doing such a "medical brain" - using artificial intelligence technology to automatically learn knowledge from the medical literature, construct knowledge maps, realize knowledge reasoning, and then describe the symptoms and diseases of the general public. Accurately map on the serious medical plane.

Exploring the “medical brain” behind AI can replace the doctor?

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Exploring the “medical brain” behind AI can replace the doctor?

CEO of Beijing Kangfuzi Technology Co., Ltd. Zhang Chao

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