"Everyone has relevant experience in seeing a doctor or checking, and knows that whether it is chest X-ray, CT, MRI, B-ultrasound, electrocardiogram, or even some body fluid testing, it is a very fast examination technology.

However, except for a few such as B-ultrasound and electrocardiogram, which can get the inspection report immediately, most of the other imaging tests and body fluid tests need to wait for a long time to get the results. Some people may have to wait for half an hour and an hour or two, while others may wait for half a day, and some may have to wait a week or two for a day or two. This greatly delays the disease and wastes precious time for diagnosis and treatment.

The reason for this is that the inspection speed of these inspection technologies is very fast, but doctors need to carefully analyze and interpret the images generated by these inspections, and diagnose, so as to draw conclusions and generate inspection results. Because the entire analysis, interpretation and diagnosis process is all done manually by doctors, the workload is large and the efficiency is relatively slow. Even if the diagnosis and treatment time for one patient is five minutes, then ten patients, one hundred, or even more patients add up, it will take more time. "

"So we wondered whether the analysis, interpretation and diagnosis of these examination images could be handed over to artificial intelligence, which would leave a lot of time.

As we all know, in the field of image recognition technology, we have always been at the forefront of the industry. In our opinion, this work is very easy to implement, because we can use the inspection image data accumulated by major hospitals for learning and training, so that our medical image recognition diagnosis and treatment system can be used. Continuous learning and growth, strong.

Through its powerful analysis and computing power, it can find lesions that are difficult for many doctors to find and judge. In this respect, its accuracy and precision in this regard are unmatched even by experienced physicians.

And through this medical image recognition diagnosis and treatment system, patients can obtain inspection results as quickly as possible without a long waiting process. Basically, it is possible to realize the synchronous generation of inspection and diagnosis results after inspection, which is far incomparable by manual work.

Then we can incorporate this medical image recognition diagnosis and treatment system into the entire artificial intelligence medical diagnosis and treatment system to become a set of subsystems.

In this way, patients may only need ten minutes to complete the entire outpatient medical examination, diagnosis and treatment process. If the patient's condition does not require hospitalization or other interventional treatment, the artificial intelligence medical diagnosis and treatment system will generate a specific diagnosis and treatment prescription, and with the patient's authorization, send the drug printing order to the drug 3D printing system.

After receiving the order, the drug 3D printing system over there immediately began to print related therapeutic drugs as required. When the patient came out of the clinic and came to the prescription, the medicine had been printed and packaged, waiting for the patient to take the medicine.

If the patient is in critical condition and needs further diagnosis and treatment or hospitalization, the AI ​​medical diagnosis and treatment system will notify the second-line doctors on standby, so that they can take over the patient as soon as possible and carry out follow-up related treatment. Or for temporary placement of patients, contact the higher-level hospital to send someone to receive it.

The entire diagnosis and treatment process does not require any human involvement at all. "

Hearing Wu Hao's words, many viewers in the audience, including those who were watching the live broadcast, showed disbelief, and even many voices of doubt came from everywhere.

Many doctors and experts who are more concerned about this, including some related practitioners in the medical field, also learned the news for the first time, and quickly spread it in the circle. Many professionals have raised questions and even criticism. Do you think it's a bit whimsical to let artificial intelligence see a doctor? It's a joke about the patient's life and health.

Of course, these Wu Hao can't see.

He gave everyone in the audience some time to react and digest, and then continued: "Of course, this system is not necessarily applicable to all patients, so in order to reflect human care and help some critically ill patients, the elderly, the weak, the sick and the disabled, Still need to arrange some medical staff to assist.

On the other hand, it is also to guide these patients to see a doctor more conveniently and quickly, and also to maintain the normal operation of the entire equipment. "

Speaking of this, Wu Hao paused for a while, then looked at the audience and said with a smile: "When I talk about this, there may be many people who think that we have developed this artificial intelligence medical diagnosis and treatment system to replace those Medical personnel, hospitals and other medical institutions.

This is not the case. Our artificial intelligence medical diagnosis and treatment system is not a replacement for existing hospitals and medical institutions, but a supplement and enhancement. It aims to help medical institutions such as doctors and hospitals provide patients with better medical diagnosis and treatment resources.

On the other hand, it is also to improve and strengthen the level of medical diagnosis and treatment in hospitals. "

Wu Hao stretched out his finger and said to the audience: "To give a very simple example, let's say that everyone is concerned about the shortage of medical resources.

In fact, it is not really that our medical resources are very tight, but our high-quality medical resources are tight. At present, our country's public medical care has covered all aspects of society, from cities to township communities, to village-level clinics, and with the active participation of private medical institutions, these medical institutions have jointly constructed a very complete set of A comprehensive and comprehensive medical system.

So it should be said that we are not short of medical resources.

But why do people feel that medical resources are tight? This is because the people of our country are used to going to large hospitals when they are sick. They instinctively feel that the treatment level of large hospitals must be better than that of small hospitals. Therefore, everyone flocked to large hospitals, resulting in a large number of medical materials being crowded out in large hospitals, so it is natural to feel that high-quality medical resources are relatively tight.

This phenomenon has caused large hospitals to become more and more overwhelmed, some abnormal development has appeared, and even many large-scale hospitals have appeared. However, these large hospitals are generally clustered in big cities~lightnovelpub.net~ small and medium-sized cities and towns, and in rural areas, the medical resources are getting less and less, although the state's active investment in construction, the public medical care in these areas The hardware facilities of institutions are constantly being strengthened, but there are fewer and fewer excellent doctors.

Because everyone has an upward mentality, for these aspiring excellent doctors, they naturally do not dare to succumb to the obscurity of scientific research and technology desert areas such as small grassroots places, and still hope to enter these large medical institutions to show their ambitions. "

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