AI aided diagnosis products for medical images are mainly used for rapid film reading and intelligent diagnosis of medical images through computer vision technology. Their rise is mainly to solve two pain points in the medical industry:
(1) Imbalance between medical supply and demand;
(2) The level of imaging doctors is uneven and the resources are unevenly distributed.
Medical imaging AI is a powerful weapon to solve the pain points of the industry
For the payment method, AI assisted diagnosis through medical images can reduce the misdiagnosis rate and guide doctors to give more accurate and effective treatment plans. At the same time, by improving the diagnosis level of grass-roots doctors, it can promote the real implementation of hierarchical diagnosis and treatment, reduce the waste of medical resources and reasonably allocate scarce medical resources. For medical institutions, medical image AI assisted diagnosis can improve efficiency, save human labor and worthless consumption, improve medical service quality, disease diagnosis accuracy and reduce the risk of misdiagnosis. For doctors, medical imaging data is growing at a rate of 30% per year, while the annual growth rate of imaging doctors is only 4%, which is far from meeting the market demand, and some doctors are overloaded. Medical imaging AI can quickly locate the focus from hundreds of films, reduce the film reading time, improve work efficiency and reduce the misdiagnosis rate. For patients, medical imaging AI helps patients obtain better medical experience, more accurate diagnosis and treatment results, more suitable treatment schemes, and save medical expenses and time expenditure.
The contradiction between the rapid growth of the number of image readers and the insufficient number of image doctors
AI reading of medical images has the advantages of efficiency and accuracy. Manual film reading usually has the problems of high subjectivity, low repeatability, long time-consuming quantitative and information utilization, labor intensity, knowledge and experience. AI film reading of medical images can achieve high efficiency and low cost. As the products become more and more mature, the accuracy is expected to show its advantages, which can greatly assist the medical needs and alleviate and solve the pain points of all parties.
Comparison between manual film reading and medical image AI film reading
The innovation of medical imaging AI products is expected to solve the fundamental problems of the medical industry and meet the interest demands of payers, service providers, patients and other parties. All parties “look forward to it” and in combination with the continuous maturity of technology, the landing should be an inevitable trend.
Medical imaging AI is the broadest application scenario in the field of artificial intelligence combined with medical treatment.
Artificial intelligence methods are widely used in medical image processing, including medical image segmentation, image registration, image fusion, image compression, image reconstruction and so on.
From the perspective of medical imaging application field, it can be divided into radiation, radiotherapy, surgery and pathology:
Radiation: similar to the “intelligence department” of the army, it understands the internal lesions of the human body through radiographic imaging to form an image. The purpose of intelligent recognition of this image is to mark the location of the lesion.
Radiotherapy: similar to the “combat Department” of the army, before formulating the radiotherapy plan, doctors need to locate the target area through imaging equipment to form an image. The purpose of intelligent image recognition is to automatically outline the target area. Because radiotherapy needs to kill cells, the more accurate the lesion area is, the better. It requires high accuracy of intelligent image recognition.
Surgery: 3D reconstruction of CT and other images through 3D visualization and other technologies to help doctors plan before surgery and ensure the accuracy of surgery.
Pathology: pathological diagnosis is the final diagnosis link. The correctness of MRI, CT, ultrasound and other image interpretation should refer to the results of pathological diagnosis. The traditional medical record inspection is that doctors directly read the medical record pictures under the microscope. Now the digital pathology system makes it possible for AI to read films.
From the perspective of application departments and data forms, it can be divided into radiology department, endocrinology department / ophthalmology department, ultrasound department, pathology department, dermatology department, cardiology department and EEG room. Industry development is more concentrated in radiology and Ophthalmology, such as lung nodules, breast diseases, diabetic retinopathy and other single diseases. Due to the real-time and dynamic characteristics of ultrasound, the application of ultrasound in the ultrasound department has high requirements for in-depth learning, lacks high-quality dynamic ultrasound image data, and the landing products require real-time assistance, so there are few development enterprises.
Application fields of medical artificial intelligence by Department
Application of medical image AI to human body parts
At present, the medical imaging AI is mainly focused on the application of radiology department, and there are more researches on CT and MRI. Single disease development mainly focuses on pulmonary nodules, breast cancer, breast diseases and diabetic retinopathy.
Now they are all intelligent. In order to facilitate the case communication of medical images, it is inseparable from the transmission of information and images, enhance communication, share inspection results and data, and facilitate the access of files during referral. The imaging workstation makes up for this defect. It is convenient for hospitals, doctors and patients. It can quickly query the examination results, facilitate film reading, file viewing, preservation and archiving, and improve the functions of case query, statistics and management. Guangzhou Rencheng medical has come to the fore with more than ten years of medical equipment maintenance experience. Through cooperation with the hospital, it clearly understands various needs with doctors. The developed imaging workstation can serve hospitals, doctors and patients well. Now Rencheng imaging workstation sincerely recruits national agent dealers and provides 24-hour after-sales service. Please feel free to contact us at any time.