At present, AI is increasingly used in medical applications, especially medical image-assisted diagnostic systems, which have been screened for a variety of common cancer types, and the product itself can be embedded in the doctor's workflow. In the process of the medical AI product landing trial, the doctor will get help, who will be the biggest beneficiary of AI landing. In this regard, the arterial network recently learned some doctors' opinions in the first National Radiation Training Doctor's Imaging Skills Competition. In the first National Radiation Peking Doctor Image Skills Competition, Imagine Science and Technology provided the designated AI-assisted screening products for this competition, and truly simulated the entire process of imaging doctors. In the game, Imagine the match between AI and the player's film reading, so that doctors who have just stepped into the front line of the video department can successfully complete difficult reading tasks, including micro-nodule recognition, frosted glass nodule recognition and image thin layer. Screening for the upper nodule. In addition, it is worth mentioning that in the semi-final and finals, the product is fully demonstrated by its ease of use. Participants who are new to the imaginary product will be able to use it only after a few minutes of training before the competition. The largest help for radiologists who have just stepped into clinical work The arterial network learned from the technology that the doctors who participated in the competition were mostly radiologists working in the front line. After the AI ​​entered the clinic, the doctors who had just entered the front line work were also the biggest help. In the Department of Radiology, the head of the department and some well-known radiologists, they work a lot every day, but many of these jobs are about research and teaching. Only those difficult films will be transferred to the hands of these experts for final diagnosis. Some ordinary doctors will not be able to seek expert help, but this only accounts for a part of the hospital. According to the arterial network, the chief physicians and deputy chief physicians of radiology departments in many large tertiary hospitals have limited working hours per week. They need hundreds of daily reading tasks. They need ordinary doctors to conduct primary screening first, and those with difficult problems will be consulted by them. . For a radiologist whose main job is reading, especially the working radiologists who have just entered the front line, due to lack of work experience and heavy workload, they will also have unnecessary missed diagnosis at work. After understanding, the most important thing for doctors is the missed diagnosis. Medical accidents caused by missed diagnosis will have a very negative impact on the career of the radiologist. In addition to missed diagnosis, radiologists and clinicians are also worried about excessive false positives. Too many false positives will not only increase the workload of doctors, but also cause excessive medical treatment, and will also bring panic to patients, follow-up observation, follow-up, and treatment. Make an impact. In the diagnostic path of increasing the AI-assisted diagnosis, the doctor only needs a short training and adaptation, relying on the intelligent pre-processing technology of AI products, and presenting all the prediction results in one click, the doctor only needs to remove a small amount of false positives and easily read. The time spent on lung nodules is compressed to a dozen seconds. In addition, in the process of using medical AI products, the newly-introduced first-line radiologists are also learning from each other with medical AI. After several years of grinding iterations, the supposed medical AI products have been recognized, and ordinary radiologists are actually working. Many times, I will refer to the advice given by the medical AI, which is also the process of the doctor's self-learning progress. At the same time, the medical AI system is not perfect, after all, the doctor's advice will also help medical AI products iterate. For departments, with the help of medical AI, doctors can grow quickly, shorten the training time of doctors, and slow down the teaching pressure of experts and doctors. The biggest help for medical AI products to enter the clinic for first-line doctors is to free them from a lot of reading work and have time to do some clinical research. Professor Liu Shiyuan, director of the Department of Imaging Medicine and Nuclear Medicine of Changzheng Hospital, said at the 5th Qianjiang International Medical Imaging Forum recently that the reading work is the most time spent on radiologists, and it is also the work that should be done by AI. Radiologists are freed from the work of reading films, and they have time to engage in clinical research and grow rapidly. Landing based on physician-approved robustness, ease of use and accuracy Medical care is a rigorous thing. For a radiologist who works first-hand, the reason why he is willing to use the technology of the technology is mainly because the product has the robustness, ease of use and accuracy recognized by the expert doctor. Features. Regarding ease of use, as mentioned above, doctors present all predicted results in one click. The doctor's job is just to remove a small amount of false positives. Regarding robustness and accuracy, Imagine Technology stated that the company's AI medical products provide reliable analysis results for both conventional and low-dose screening for CT equipment from various manufacturers – the rate of missed diagnosis is extremely low, and the false positive rate Not high, especially the system is very sensitive to tiny nodules and ground glass density nodules, which can help doctors to reduce the missed diagnosis that is easy to occur in high-intensity work. Dr. Xie, from the First Hospital of Fuzhou City, Fujian Medical University, said: "At present, our products are very sensitive to the effect of AI nodule recognition. Some proliferation stoves and tiny nodules can also be screened out. The effect is quite good, basically not. Leaking, just need to identify it again, it is much easier than before." According to statistics, as of February 2018, in the rankings of Fudan National Hospital, the top 10 hospitals, the AI ​​of the technology-based AI has been deployed on the line; the top 50 hospitals have entered the technology AI system has entered 25 companies. Soon after, the company is about to release version 4.0 of the product, which will intervene in the mitigation of 14 diagnostics. In the future, it is imperative that science and technology not only serve the radiology department of the top three hospitals, but also the primary medical institutions that are sinking the service and the medical resources are in short supply to meet the growing image screening work. Mulch Films are a revolution in the agriculture industry as it presents an economical and environment friendly protective solution for crops and soil. It not only maintains the quality of soil but also aids in the faster growth of plants. By reflecting light, it ensures control on growth of weeds as photosynthesis process will not be carried out. Mulch Film,Sliver Black Mulching Film Sheet,Mulch Film For Greenhouse,Polyethylene Mulch Film JIANGSU SKYPLAN GREENHOUSE TECHNOLOGY CO.,LTD , https://www.thgreenhouse.com
After the medical imaging AI assisted the clinic, the biggest benefit was the doctor who just stepped into the front line of the imaging department.