Military Technology

Chapter 2421 Medical Image Screen Recognition Diagnosis and Treatment System

“Everyone has had relevant medical treatment or examination experience, 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, where the test reports can be obtained immediately, most other imaging tests and body fluid tests require a long wait for the results. Some may wait half an hour or two hours, some may wait half a day, and some may wait a day or two, or even a week. This greatly delays the condition and wastes precious time for diagnosis and treatment.

The reason why this happens is that the inspection speed of these inspection technologies is very fast, but doctors need to carefully analyze, interpret and diagnose the images generated by these inspections in order to draw conclusions and generate inspection results. Because the entire analysis, interpretation and diagnosis process is completed 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, ten patients, one hundred, or even more patients will take a lot of time. "

“So we were wondering whether the analysis, interpretation and diagnosis of these inspection images could be done by artificial intelligence. This would leave a lot of time.

As you all know, we have always been at the forefront of the industry in the field of image recognition technology. In our opinion, this work is very easy to achieve, because we can use the examination image data accumulated by major hospitals for learning and training, so that our medical image recognition, diagnosis and treatment system can Continuously learn, grow and become stronger.

Through its powerful analysis and calculation capabilities, it can discover lesions that are difficult for many doctors to detect. In this regard, its accuracy and precision in this area are unmatched by even experienced doctors.

Through this medical image recognition diagnosis and treatment system, patients can obtain test results as quickly as possible without a long waiting process. Basically, it can be achieved that the inspection and diagnosis results can be generated synchronously after the inspection, which is far beyond the reach of manual work.

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

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, then this artificial intelligence medical diagnosis and treatment system will generate a specific diagnosis and treatment prescription, and with the patient's permission and authorization, send a drug printing order to the drug 3D printing system.

After receiving the order, the drug 3D printing system there immediately began to print relevant treatment drugs according to demand. By the time the patient comes to the prescription from the outpatient clinic, the medicine has been printed and packaged, waiting for the patient to pick up the medicine.

If the patient is in critical condition and needs further diagnosis and treatment or hospitalization, this artificial intelligence medical diagnosis and treatment system will notify the second-line doctors on call so that they can take over the patient as soon as possible and carry out follow-up related treatment. Or to temporarily place the patient, contact the higher-level hospital to send someone to receive it.

The entire diagnosis and treatment process requires no personnel involvement at all. "

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

Many doctors and experts who are more concerned about this, including some relevant practitioners in the medical field, also learned of the news immediately, and it quickly spread within the circle. Many professionals have raised questions and even criticized it. Do you think it’s a bit whimsical to use artificial intelligence to treat patients? It’s a complete joke on the patient’s life and health.

Of course, Wu Hao couldn't see these.

He gave everyone in the audience some time to react and digest, and then continued: "Of course, this system may not be suitable for all patients, so in order to show human care and help some critically ill patients, the elderly, the weak, the sick and the disabled, It is still necessary to arrange for some medical personnel to assist.

On the other hand, it is also to guide these patients to more convenient and faster medical treatment, and to maintain the normal operation of the entire equipment. "

At this point, Wu Hao paused, then looked at everyone in the audience and said with a smile: "When I talk about this, many people may think that we have 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 of existing hospitals and medical institutions, but a supplement and enhancement. It aims to help medical institutions such as doctors and hospitals provide better medical diagnosis and treatment resources to patients.

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’s not really that our medical resources are in short supply, but that our high-quality medical resources are in short supply. Find a book at www.zhaｏshuyuan.com 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 It is a comprehensive medical system that is very complete, covers a very wide range, and is very comprehensive.

So it should be said that we have no shortage of medical resources.

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

This phenomenon has caused large hospitals to become increasingly overwhelmed, resulting in some abnormal developments, and even many large-scale hospitals have emerged. However, these large hospitals are generally clustered in big cities, small and medium-sized cities, towns, and rural areas, and there are fewer and fewer medical resources. Although with the country's active investment in construction, the hardware facilities of public medical institutions in these areas are constantly improving. Strengthening, but there are fewer and fewer excellent doctors.

Because people have an upward mentality, these outstanding and ambitious doctors naturally do not dare to succumb to obscurity in small grassroots places such as scientific research and technology desert areas, but they still hope to enter these large medical institutions to show their ambitions. "