当前位置:网站首页>What is medical treatment? AI medical concept analysis AI

What is medical treatment? AI medical concept analysis AI

2022-06-23 23:58:00 Program type

As artificial intelligence gradually permeates our lives , lately AI Medical treatment is now emerging . that ,AI What is medical treatment ? seeing the name of a thing one thinks of its function , Is to use the most advanced artificial intelligence technology , Reach patients and medical workers 、 Informatization between medical institutions and medical equipment . analysis AI The concept of medical treatment , This is what we can find AI A deep development and breakthrough of technology in the medical field . Now let's talk about AI The concept of medical treatment 、 Meaning and Application .

What is medical treatment ?

1、AI The concept of medical treatment

AI Medical treatment is based on the Internet , Through the construction of infrastructure and data collection , Apply AI technology and big data services to the medical industry , Improve the diagnostic efficiency and service quality of the medical industry , Better solve the shortage of medical resources 、 The problem of population aging . According to the definition of authoritative websites , It can be simplified as “ Artificial intelligence + Medical care ” It is an enabling phenomenon of artificial intelligence technology for application scenarios in medical related fields . say concretely ,AI It is especially suitable for medical image diagnosis 、 Chronic disease management and lifestyle guidance 、 Disease screening and pathological research 、 Drug development and other fields , And help to fill the difference between genotype and phenotype in precision medicine .

2、AI The significance of medical treatment

We can first look at the current medical background , Generally speaking, there is a serious imbalance between supply and demand in the medical and health industry . Few medical resources, such as , Excellent medical resources are scarce , Good doctors and hospitals are scarce . There are many good hospitals in big cities , Small city hospitals are few and poor , In addition, the workload of internal diagnosis is large . Generally speaking, there are few medical resources , Strong regional fragmentation , Low medical efficiency . From the patient's point of view , They have a lot of medical needs , And equal demand regardless of region , Strong expectations for effective healing . therefore ,AI Medical treatment is to solve the contradiction between supply and demand . I believe you have used it well AI technology , It can improve the professional ability of doctors , So as to improve the medical efficiency and the standardization of diagnosis and treatment , Let more people enjoy the benefits of technological progress .

3、AI The realization of medical treatment

(1) Imaging

AI The application of medical treatment is mainly reflected in imaging . With the chest CT Diagnosis as an example , One test per patient will generate 200-300 Slice image , The traditional interpretation of a single slice usually takes a doctor nearly 10 minute , Therefore, the workload and pressure are very heavy for doctors , Through computer vision technology AI Medical treatment can effectively solve this problem . And in the hospital medical link , Master radiology 80% The above medical big data , It is one of the key entrances to disease diagnosis .AI Medical intervention this link is equivalent to the key entrance link of medical diagnosis , The accumulated big data can also be used for the follow-up AI The continuous optimization of medical products provides the source power .

(2) Auxiliary diagnosis

AI Another key point of medical treatment is to help doctors with diagnosis . Take lung cancer for example ,AI Medical treatment requires interdisciplinary intervention in clinical scenarios , The disease database needs to integrate the full cycle data of tens of thousands or even hundreds of thousands of lung cancer patients across the system 、 Millions of clinical documents and reports 、 Thousands of original medical images , It includes the images of lung cancer patients 、 Pathology 、 Gene testing 、 Medical record text and other multidimensional data . To achieve primary functions such as nodule screening , At the same time, the international 、 The latest clinical guidelines for diagnosis and treatment of lung cancer in China , To achieve diagnostic coverage of all types of lung cancer lesions , Comprehensive multidisciplinary clinical information to make diagnosis , So as to reduce the misdiagnosis of the disease 、 Missed diagnosis , Improve the efficiency of diagnosis and treatment . At present, the mainstream AI The auxiliary diagnostic system has covered the pediatric department 、 Oncology Department 、 Cardio cerebrovascular department and other mainstream departments , Believe in the future ,AI The auxiliary diagnosis system will be gradually applied to more clinical departments .

(3) Scientific research big data platform

At present, the medical associations of various departments in China 、 The hospital 、 Medical school, etc , Lack of a more effective research big data platform , In scientific research scenarios, it is often necessary to retrieve multiple discrete information from various places and then aggregate them manually , The efficiency is not high , It is impossible to focus on the exploration of scientific research business .AI Healthcare is based on powerful big data capabilities , Based on the clinical big data of the hospital , Effectively build a big data platform for scientific research , Serve doctors with scientific research tools , Let doctors devote all their energy to scientific research .

To sum up, yes AI Analysis of medical concept , We can see AI Medical treatment relies on the Internet , Adopt artificial intelligence technology in the medical field , So as to greatly improve the quality and efficiency of medical treatment . Believe in time , With AI The gradual implementation of technology in the medical field , We can enjoy more in the future AI Medical substantive benefits , Let's see !

Share some of my artificial intelligence learning materials for free , Including some AI Common framework actual combat video 、 Image recognition 、OpenCV、NLQ、 machine learning 、pytorch、 Computer vision 、 Videos such as deep learning and neural network 、 Courseware source code 、 Famous essence resources at home and abroad 、AI Hot papers 、 Industry reports, etc .

For better systematic learning AI, I recommend that you collect one .

Here are some screenshots , Free download method is attached at the end of the article .

One 、 Artificial intelligence courses and projects

Two 、 Famous essence resources at home and abroad

3、 ... and 、 Collection of papers on artificial intelligence

Four 、 AI Industry Report

Learn Artificial Intelligence well , Read more , Do more , practice , If you want to improve your level , We must learn to settle down and learn slowly and systematically , Only in the end can we gain something .

Click on the business card below , Scan the code and download the information for free .

原网站

版权声明
本文为[Program type]所创,转载请带上原文链接,感谢
https://yzsam.com/2022/174/202206232137423181.html