Chapter 2421 Medical Imaging Screen Recognition Diagnosis and Treatment System

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

However, except for a few such as B-ultrasound and electrocardiogram, which can get the inspection report immediately, most of the other imaging examinations and body fluid examinations need to wait for a long time to get the results. Some patients may wait for half an hour or two for a relatively short period of time, some may wait for half a day, and some may wait for one or two days, or even a week. This greatly delays the disease and wastes precious time for diagnosis and treatment.

The reason for this is that these inspection techniques are very fast, but doctors need to carefully analyze, interpret, and diagnose the images generated by these inspections, so that they can draw conclusions and generate inspection results. Because the entire process of analysis, interpretation and diagnosis is done manually by doctors, the workload is heavy 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 are thinking whether the analysis, interpretation and diagnosis of these examination images can be done by artificial intelligence, so that there is a lot of time left.

As you know, in the field of image recognition technology, we have been at the forefront of the industry. In our opinion, this work is very easy to achieve, 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 Continuous learning and growth, strong.

Through its powerful analytical and computing capabilities, it can find lesions that many doctors find difficult to judge. From this aspect, its accuracy and precision in this aspect are unmatched even by experienced doctors.

Through this set of medical imaging screen recognition diagnosis and treatment system, patients can obtain the examination results as quickly as possible without long waiting process. Basically, it can realize the synchronous generation of inspection and diagnosis results after inspection, which is far beyond the comparison of manual work.

Then we can incorporate this medical imaging screen recognition diagnosis and treatment system into the entire artificial intelligence medical diagnosis and treatment system and become one of the subsystems.

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

After receiving the order, the drug 3D printing system over there immediately began to print relevant therapeutic drugs according to the demand. By the time the patient comes out of the clinic and comes to the prescription, the medicine has been printed and packaged, waiting for the patient to take the medicine.

If the patient is critically ill and needs further diagnosis and treatment or hospitalization, this artificial intelligence 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 temporarily arrange the patients, and contact the higher-level hospital to send someone to receive them.

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

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

Many doctors and experts who are more concerned about this, including some relevant practitioners in the medical field, also learned of this news at the first time, and it quickly spread in the circle. Many professionals have raised doubts and even criticisms. It is a bit whimsical to think that it is a bit whimsical to use artificial intelligence to see a doctor, it is a joke about the life and health of patients.

Of course, Wu Hao couldn't see these things.

He gave everyone in the audience some time to react and digest, and then went on to talk: "Of course, this system may not be applicable to all patients, so in order to show human care and help some critically ill, old, weak, sick and disabled patients, 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 moment, then looked at the audience and said with a smile: "When I say this, many people may think that we developed this artificial intelligence medical diagnosis and treatment system to replace those Medical personnel, hospitals and other medical institutions.

No, 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 medical diagnosis and treatment level of the hospital. "

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

In fact, it is not really that our medical resources are very tight, but that our high-quality medical resources are tight~lightnovelpub.net~ At present, public medical care in our country has covered all aspects of society, from cities to townships, communities, and villages. State-level clinics, together with the active participation of private medical institutions, these medical institutions have jointly built a very complete, comprehensive medical system with a very wide coverage.

So it should be said that we do not lack medical resources.

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

This phenomenon has led to large hospitals becoming more and more overwhelmed, some abnormal developments, and even many large-scale hospitals. However, these large hospitals are generally clustered together in big cities, and in small and medium-sized cities, towns, and rural areas, there are fewer and fewer medical resources. Strengthening, but there are fewer and fewer excellent doctors.

Because people have an upward psychology, for these outstanding doctors with aspirations, they naturally dare not succumb to the obscurity of scientific research and technology deserts like small grassroots places, and still hope to enter these large medical institutions to show their ambitions. "

(end of this chapter)