Chapter 2420 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 take as short as half an hour.
One or two hours, some wait for half a day, and some one or two days, or even need to wait for a week. This greatly delays the condition and wastes precious diagnosis and treatment time.
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 all done manually by doctors, so 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
If you add up more patients, it 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 implement, because we can use the inspection image data accumulated by major hospitals to learn.
Training, so that our medical image recognition, diagnosis and treatment system can continue to learn, grow and become stronger.
Through its powerful analysis and calculation capabilities, it can be found that many doctors find it difficult to detect lesions. 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 the examination results as quickly as possible without a long waiting process. Basically, the diagnosis results can be generated simultaneously after the examination, 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, the patient may only need ten minutes to complete the entire outpatient medical examination, 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 specific diagnosis and treatment
Prescription form, and with the patient's permission and authorization, send the 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 came out of the outpatient clinic and came to the prescription, the drugs had 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 provide temporary treatment to the patient.
For placement, contact the superior hospital to send someone to receive it.
The entire diagnosis and treatment process requires no personnel involvement at all.”
After hearing Wu Hao's words, many viewers in the audience, including those watching the live broadcast, looked in 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 about the news immediately, and it quickly spread within the circle. Many professionals have raised questions, and even
It's a criticism. I think it's a bit whimsical to use artificial intelligence to treat patients, and 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 seek medical treatment more conveniently and quickly, 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 for existing hospitals and medical institutions, but a supplement and enhancement. It is designed to help doctors, hospitals and other medical institutions provide better medical diagnosis and treatment to patients.
resource.
On the other hand, it is also to improve and strengthen the hospital’s medical diagnosis and treatment level.”
Wu Hao stretched out his finger and spoke 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. At present, our country’s public medical care has covered all aspects of society, from cities to township communities, to village-level clinics, and more.
With the active participation of private medical institutions, these medical institutions have jointly built 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 flocks to them.
Large hospitals have become big hospitals, which has caused a large amount of medical information to be occupied by large hospitals. Therefore, it is natural to feel that high-quality medical resources are relatively tight.
This phenomenon has caused large hospitals to become increasingly overwhelmed, resulting in some abnormal development and even the emergence of many large-scale hospitals. However, these large hospitals are generally concentrated in big cities, small and medium-sized cities, towns, and rural areas.
Well, medical resources are getting less and less. Although the hardware facilities of public medical institutions in these areas are constantly being strengthened with the country's active investment in construction, there are fewer and fewer excellent doctors.
Because people have an upward mentality, for these outstanding and ambitious doctors, they naturally do not dare to succumb to obscurity in scientific research and technology desert areas such as small grassroots places, but they still hope to enter these large medical institutions to show their ambitions."
