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【2021 Solutions】 Specializing in the smart medical market, Kaiyuan Intelligent Manufacturing and hundreds of doctors "struggle for feelings"

The rapid advancement of artificial intelligence (AI) technology and the new coronavirus pneumonia (Covid-19) epidemic have catalyzed the vigorous development of smart medical care. Kaiyuan Intelligent Manufacturing Company, which is committed to the research and development of Open AI, focuses on the development of the smart medical market. The company spent two years I visited doctors one by one over the course of a year, "struggled emotionally" with hundreds of doctors, and compiled a "Smart Medical Question Bank", which is like an AI martial arts guide in the medical field. All medical and engineering-related questions can be found in this book answer. Establishing a common language with doctors can help break into the development of the medical field.

According to the definition of the World Health Organization (WHO), smart medicine is an extension of digital medicine. It is the application of information and communication (ICT) technology in the medical and health fields. Its scope includes: medical health information, personal medicine, telemedicine and Care, mobile medicine, wearable devices, etc.

The growth potential of the global SaMD market is amazing, and major technology companies are rushing in

Among them, the SaMD (Software as a Medical Device) market is expected to grow at a compound annual growth rate of 69.30% during the forecast period from 2019 to 2026. Due to the endless market potential, world-class industrial and information communication companies are actively rushing to enter. However, the barriers to entry in the medical industry are not low. How to talk to doctors has become the first problem.

Open AI Fab, founded in May 2019, is a consistent winner of the AI ​​GO "Industrial Problem-Producing, Innovative Problem-Solving" and AI HUB AI+ New Talent Selection Competitions in the AI ​​Program of the Industrial Bureau of the Ministry of Economic Affairs. Huang Mingshi, founder and CEO of Kaiyuan Intelligent Manufacturing, said that the company continues to accumulate experience through projects and competitions. In the field of smart medical care, "doctors" are important and key figures. Kaiyuan Intelligent Manufacturing not only recruits emergency room doctors to serve as medical directors , as a bridge of communication with the medical community, the company team visited hundreds of doctors in two years to understand the needs and enter the huge market of smart medical care.

"Doctors are very smart and their time is precious. Answering his questions quickly and accurately in a short period of time and building mutual trust are important keys to whether the two parties can have substantial cooperation." Huang Mingshi further emphasized that doctors also have a strong interest in AI. There is unlimited imagination. However, AI technology that uses deep learning requires doctors’ annotation. If doctors cannot assist in annotation, AI will be of no use. The first step in establishing communication with doctors is to establish appropriate expectations for AI.

Through cooperation with Northern Medical Center and Southern Medical Center, Kaiyuan Intelligent Manufacturing has two relatively mature medical AI services: "Da Vinci Surgery Organ Identification Solution" and "Heart Failure and Structural Abnormality Solution". The Da Vinci surgical organ recognition solution uploads Da Vinci surgical video files. Doctors can choose the images they want to recognize, and the AI ​​model will identify different organs, nerves, blood vessels, etc. from all the images together.

Da Vinci image recognition AI can Used in obstetrics and gynecology or otolaryngology

▲Da Vinci image recognition AI can be applied to obstetrics and gynecology or otolaryngology.

Da Vinci image recognition AI was originally used in obstetrics and gynecology. The open source intelligent manufacturing team spent more than half a year adjusting the model of Da Vinci organ image recognition in obstetrics and gynecology around the clock, and then found UNET AI from Open Source (open source code) Model, a large number of model optimizations have been carried out. At this stage, four of the eight human organs can achieve an accuracy of 85%.

For this year’s AI GO competition, Kaiyuan Intelligent Manufacturing also assisted the Department of Otolaryngology at the Central Medical Center to establish Da Vinci organ image recognition. In just one month, from the initial discussion, data collection, data annotation, and AI model creation , and finally obtained empirical results, gradually shortening the learning curve through the process of customizing AI.

The time taken by AI to calculate cardiac ejection fraction is shortened from 20 minutes to "seconds"

In addition, solutions for heart failure and structural abnormalities will become the first step in the productization of open source intelligent manufacturing AI. Huang Mingshi said that when the cardiac surgery department of Southern Medical Center performs cardiac catheterization on patients, doctors also need to take left ventricular photography. After injecting the contrast agent into the patient, the doctor can draw the outline of the heart through the diastolic and systolic images of the heart at different times. , and calculate the cardiac ejection fraction. There are two shortcomings in the traditional method. First, drawing and labeling require a lot of time for doctors. Second, doctors use manual drawing to calculate the cardiac ejection fraction. The standards are inconsistent, resulting in the lack of objective standards. .

The solution for heart failure and structural abnormalities through deep automatic learning technology not only shortens the time for doctors to draw the outline of the heart and calculate the cardiac ejection fraction from 20 minutes to "seconds", it can also help doctors analyze the ventricles. abnormal conditions, and establish an early warning platform for heart failure and structural abnormalities.

Solutions for heart failure and structural abnormalities will become The first step to productize open source intelligent manufacturing

▲Heart failure and structural abnormality solutions will become the first step in the productization of open source intelligent manufacturing AI

In the process of communicating with doctors, Huang Mingshi found that the biggest difficulty for doctors is to obtain and label cases after de-identification, which takes a lot of time. Taking the left ventricular photographic film as an example, a patient In a two-minute video, there are 30 photos that need to be annotated in one second. The number of photos that need to be annotated in two minutes is as high as 3,600 photos. It takes a lot of time for just one patient, not to mention that a doctor may have dozens of patients. bit, it takes more time.

In addition to collecting questions and answers from interviews with hundreds of doctors and establishing a question bank, Kaiyuan Intelligent Manufacturing also trains engineers and data scientists to learn data annotation by doctors. After repeated confirmation with doctors, the main data annotation work at this stage can be left to engineers. Practical solution to doctors’ problems. In smart medical care, due to different departments, racial differences, different conditions of each patient, and different hospital needs, it is difficult to produce a universal and standardized AI model in the short term, and customization is the best way. Kaiyuan Intelligent Manufacturing adopts the Open AI method to shorten part of the development time and focuses on technological breakthroughs in customized AI model construction. The developed AI modules can extend their application fields, which is also one of the company's competitive advantages.

Medical devices are independent from pharmaceutical affairs laws and obtaining medical device software certification is the top priority

In order to develop Taiwan's smart medical industry, the Food and Drug Administration (TFDA) of the Ministry of Health and Welfare passed the "Medical Device Management Act" in December 2019, which will separate the management of medical devices from the "Pharmaceutical Affairs Act" and will be implemented in May 2021. It will come into effect on January 1st. Medical device software (SaMD) requires product developers to obtain license approval from local competent authorities before it can be sold in local medical channels. Therefore, Kaiyuan Intelligent Manufacturing will prioritize obtaining SaMD licenses in the United States and Taiwan.

Huang Mingshi pointed out that Kaiyuan Intelligent Manufacturing just received angel round financing in 2020, and it is expected to complete the Pre-A round of financing by the end of March 2022, which will be used as funds for the next year and a half. At the same time, we also plan to obtain the second-level medical device software certification from the Food and Drug Administration of the Ministry of Health and Welfare within 2 years, and complete the smart medical AI product development plan. ) strives to introduce practical applications and make smart medical care practical and popular.

Founder and CEO of Kaiyuan Intelligent Manufacturing CEO Huang Mingshi

▲Huang Mingshi, founder and CEO of Kaiyuan Intelligent Manufacturing

「Translated content is generated by ChatGPT and is for reference only. Translation date:2024-05-19」

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Furen Technology uses smart sensing mattresses to understand and make caring for the elders warm.

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【解決方案】AI電眼取代人眼 慧演智能運用AI幫製造業做品管
Using AI vision to replace human vision, Claireye Intelligence uses AI to help the manufacturing industry with quality control

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【解決方案】滴水不漏的智慧工安巡檢 鑫蘊林科Linker Vision的影像分析AI平台 創造巡檢時間從100分鐘降至3秒新紀錄
Watertight smart industrial safety inspection Linker Vision’s image analysis AI platform sets a new record of inspection time reduced from 100 minutes to 3 seconds

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pipeline location is difficult to visually observe, which may cause Employees are exposed to accidental risks in various work safety environments In order to reduce the pain points of industrial safety inspections in the chemical industry, Xinyunlinke assists well-known domestic chemical industry players by using an automated image analysis AI platform, combined with customized virtual electronic fences, and using in-plant cameras to configure AI pipeline leakage modules , the AI automatic inspection method can effectively reduce the abnormal detection time to less than 3 seconds In addition, cameras deployed in the factory can automatically record inspection schedules to achieve full-time monitoring, allowing customers to instantly discover and fully control pipelines, minimizing risks In addition, the automated image analysis AI platform can help customers apply fire warnings in factories It is conservatively estimated that the return on investment can be less than 9 months to pay back the investment The longer the platform is used, the higher the cost-effectiveness Build an automatic learning image analysis AI platform for Mobility as a Service in various fields Xie Yuanbao observed that the biggest challenge facing the entrepreneurial culture of software companies in Taiwan is that young new entrepreneurs or employees in Taiwan do not understand the entrepreneurial model and lack the awareness to regard themselves as part of the company owners This has caused It is a pity that your future is unclear or you have a past-experience mentality that prevents you from staying competent in a new start-up company for a long time I believe that the essence of true entrepreneurship lies in every employee rolling up their sleeves and working hard, so that they can truly enjoy the fruits of entrepreneurial profits Otherwise, for young entrepreneurs or employees who often change tracks, it will be like a rolling stone that gathers no moss , I am unable to take a deep root on the road of entrepreneurship, and I lose my ability to solidly accumulate financial independence Regarding the business promotion challenges of Xinyun Linke, Xie Yuanbao said with emotion that because the Taiwan market does not have a deep understanding of AI software applications, it relies more on open source AI visual analysis or machine learning and other resources on the market, but in fact These AI technology resources are limited in their ability to support customers' AI model needs, resulting in uneven quality of AI visual analysis software in the market Therefore, the impact is more indirect on Xinyunlinke's ability to truly provide customers with professional and data-centric AI image analysis services, and it also reduces the company's original business value in customer reference In terms of technical research and development challenges, the visual analysis AI platform cannot rely solely on AI model experts It must gather talents in various fields such as cloud, machine learning, data science, front-end and back-end and other professional team combinations to make the platform operate successfully Xie Yuanbao said that he believes that only through the automatic learning of the visual analysis AI platform, automatic fast and accurate data processing capabilities, and providing customers with complete AI solution services in the cloud, cloud ground Hybrid to pure ground, can we truly Convince customers and stand out from the competition Looking to the future, Xie Yuanbao hopes that Xinyunlin Technology can build an image analysis AI platform for Mobility as a Service to automatically learn in various fields such as self-driving cars, smart warehousing robots, and unmanned buses in smart cities At the same time, I am also grateful to the support of the Industrial Bureau of the Ministry of Economic Affairs for the smooth landing of Xinyunlin Technology in Taiwan and the opportunity to recruit talents from all walks of life to work together In the short-term layout, the company will actively cooperate with domestic players such as Hon Hai and TSMC to implement image analysis AI technology in fields such as self-driving cars, smart industrial safety, and smart warehousing robots In the medium to long term, Xinyunlinke will target the United States, Europe, Japan and other countries as its global market layout, establish investment and cooperation partnerships with major international companies such as Microsoft, and replicate its successful experience and promote it internationally Xinyunlinke official website Xie Yuanbao, founder and chairman of Xinyunlinke 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」