Speaking of artificial intelligence, in fact, everyone is not unfamiliar, it is no longer a fragment in a science fiction movie, but a closer and closer distance from our lives, and is affecting and changing our lives. In the medical field, whether in medical imaging, auxiliary diagnosis, disease prediction, or in many scenarios such as health management, drug research and development, chronic disease management, and epidemic prevention and control, the quality and efficiency of medical testing are far better than those of humans, and are playing a key role in many scenarios.
Today, I will talk to you about the important features of artificial intelligence and its role in medicine and health.
01, an important feature of artificial intelligence
One of the important characteristics of artificial intelligence is to process and analyze massive amounts of large-scale data. Artificial intelligence is applied in the field of smart medical care. Most of the previous practices were to upload data to the cloud for inference and training, which would put a lot of pressure on the cloud.
To share the pressure of central cloud nodes, academia and industry are now looking to the edge: edge compute nodes can take care of data computing and storage within their own scope, processing data analysis in real time or faster.
02, Why must I use the edge side?
Seeing this, some netizens feel a little strange, why must I use the edge?
Because the edge side corresponds to different applications:
1. The IT architecture needs to be optimized according to the scenario, the training of AI is in the cloud, and the instructions are pushed to the edge side, and then processed after optimization.
2. The main purpose of quality inspection is to replace labor and improve the detection rate.
3, the case of large data volume, whether it is AI, or other scenarios, such as vibration sensors, intelligent sensors, are required to do timely processing and return of data on the edge side.
Therefore, the edge side requires the timeliness and real-time nature of data processing. For example, the scanner checks smuggling, and there are real-time requirements for edge side processing. Another example is intelligent traffic management, V2X roadside camera can find that two vehicles at the intersection have the same driving trajectory, so as to issue an early warning for both vehicles, which requires real-time and edge computing. （if use this part, plz polish the wording）
So when is edge computing needed, or what is the typical load at the edge? The main ones are as follows:
1. The data volume is large and the data transmission cost is high
2. The latency requirements are high, and the time to the cloud is too long to process
3. High requirements for persistent connection: If the edge end wifi is disconnected, the power is down and other unstable
4. Data Security Privacy & Security
5. Workload scheduling requirements
6.AI/AA requires data calls, provisioning
03, "Cloud-side collaboration"
At the same time, cloud computing does big data analysis and mining, data sharing, and training and upgrading of algorithm models. This architecture that uses cloud computing and edge computing to work together, which is often referred to as "cloud-edge collaboration", is a big step in helping artificial intelligence to be more perfectly applied in the process of medical digitalization.
Take the immediate case, the production of vaccines.
Since THE BEGINNING OF COVID-19, the demand for vaccines has soared. However, many people may not know that in the production process, liquid drug preparations such as vaccines are related to life and health, and the quality control of their production, filling and other links is extremely strict. Because of the slightest carelessness and infection problems, then vaccination will not only not protect health, but also bring risks.
Because of this, in the process of vaccine production, we must not only strive to achieve automated management, avoid human participation as much as possible, and eliminate exogenous pollution, but more importantly, quickly detect visible foreign bodies in vaccines.
In modern pharmaceutical companies, automated lighting equipment is usually used to detect visible foreign bodies in drug bottles.
As shown in the figure above, it is the detection in the automated process of vaccines, and the quality control of vaccine preparations is carried out through light inspection.
Faster and more accurate detection also puts forward higher requirements for the motion control system and vision system of the lamp inspection machine equipment, in short, to be "faster", such as for the detection of foreign bodies in the medicine bottle, it needs to be completed within tens of milliseconds. This means that the whole process of the lamp inspection machine from the start of the rotary cylinder motor to the swing arm in place, to the image acquisition, and the implementation of machine vision inspection must be controlled in the millisecond level. This poses a challenge to AI-based machine vision capabilities.
04, What is a high-quality lamp detector?
The high-quality lamp detector is in fact an artificial intelligence platform that captures images while quickly processing them. In this way, when substandard vaccines are found, they can be eliminated in a timely manner, so as to ensure the quality of the overall vaccine.
In fact, this is also of great significance for the expansion of vaccine production capacity.
You know, today, when the new crown epidemic is still spreading, vaccines have become an important technical means to deal with the new crown. In the face of the constant emergence of new strains, we must not only develop new vaccines, but also transform them into products for public use as soon as possible.
As an indispensable step in the vaccine production line, quality control is crucial, and the lamp inspection machine scheme under the "cloud edge collaboration" architecture can ensure the quality of vaccine production very well.
Of course, not only vaccines, in fact, many drugs in the production, this technology is also an important guarantee.
It is believed that in the future, from the production of vaccines to drugs, relying on the advanced architecture of "cloud-edge collaboration", artificial intelligence will play a role in helping to better control the quality of production, and also provide a more powerful boost for the medical and health cause of the whole society.