At present, artificial intelligence technology is becoming more and more mature, especially the advancement of deep learning and data mining technology, which has artificial intelligence penetrated into all walks of life. Among them, the innovation of medical model has brought new changes to medical related industries. Not only the traditional information is digitized, but also the potential link between information and disease can be effectively explored, so that the disease can be predicted and the decision-making and treatment can be better. The artificial intelligence's empowerment of medical care has improved medical efficiency and reduced medical costs.
At present, the scenes in the artificial intelligence-enabled medical field are mainly represented by: virtual assistants, medical imaging, auxiliary diagnosis, disease risk prediction, drug mining, health management, hospital management, and auxiliary medical research reports. Among them, medical imaging and disease risk management are the two most popular application scenarios.
The rapid development of artificial intelligence in the field of image recognition has brought dawn to medical imaging diagnosis. The use of image recognition technology and deep learning to identify the patient's image helps the imaging doctor to improve the diagnostic efficiency. At present, the application of artificial intelligence in the field of medical imaging mainly includes three categories: lesion screening, target area delineation and image three-dimensional reconstruction.
Screening of lesions: Automatic identification of lesions in medical images such as X-ray, CT, and MRI, greatly improving the efficiency of imaging doctors' diagnosis, and helping doctors to find early lesions that are difficult to find and judge with the naked eye.
Delineation of the target area : Target area delineation and treatment design during tumor treatment will take up a lot of time and effort of the doctor, and the CT image of each tumor patient is about 200 to 450, and the organ on each picture needs to be outlined. Labeling the location of the tumor, the traditional method will cost the doctor for several hours, and the artificial intelligence can automatically delineate the target area of ​​hundreds of CT films when the radiotherapy plan is formulated, and then the correction is corrected by the radiologist, which greatly shortens the sketch. time.
Image 3D reconstruction : Automatically reconstruct the real 3D model of the organ, realize the doctor's through-the-surface observation of the details of the patient's real human body structure in the virtual space, and perform real-time stereo analysis of organs and lesions to accurately measure The location, volume and other parameters of the structure make the operation faster, more precise and safer.
Disease risk prediction is the most popular artificial intelligence in medical scene applications in addition to medical imaging. Predict the risk of disease by gene sequencing and detection. At the heart of disease risk prediction is the development of genomics. The Human Genome Project maps the nucleotide sequence consisting of 3 billion base pairs contained in human chromosomes, maps the genome, and identifies the genes and their sequences. In order to achieve the ultimate goal of deciphering human genetic information.
The important progress of the key technologies of gene sequencing is due to the maturity of artificial intelligence technology, that is, automatic analysis of individual gene sequence information through artificial intelligence, greatly reducing time, reducing costs, and promoting the commercialization of gene sequencing.
Virtual assistant application scenario
The virtual assistant in the medical field, based on the knowledge system of a specific field, realizes human-computer interaction through artificial intelligence voice technology and natural language processing technology, and can solve various demands such as voice electronic medical records. In the traditional way, doctors will waste a lot of time when filling in medical records. Virtual assistants can effectively avoid the waste of time. The doctor's complaints can be converted into texts in real time and entered into hospital information management software such as HIS, PACS, CIS, etc. The efficiency of the case allows the doctor to spend more time on patient communication and disease diagnosis.
The application of artificial intelligence in drug excavation is mainly reflected in the chemical structure and drug effect relationship of drugs. Whether it is new drug research and development, drug screening, drug side effects prediction or drug tracking research, the content will be changed by artificial intelligence. The use of artificial intelligence has shortened the time for the development of new drugs and greatly reduced the cost of research and development.
The impact of artificial intelligence on the medical field is very large. From the auxiliary diagnosis and treatment to drug research and development, from gene sequencing to electronic informationization, great progress has been made. At the same time, artificial intelligence is also promoting the development of medical detection, imaging diagnosis and other services to better serve humanity. After the artificial intelligence empowers medical treatment, the contribution to the medical industry is remarkable, and it has become the development trend of the future medical field.
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