In the artificial intelligence industry track, there is still an opportunity to stay in the vertical focus of the company.
However, for platform-based companies, the first-mover has the advantages of technology precipitation, product optimization, and service overlay. It is difficult to have latecomers in terms of cost, brand building, and capacity breakthrough.
——Cui Wei, Senior Vice President of Tumar Shenwei
An interesting example of Adam Smith's The Wealth of Nations: Before the discovery of steam-driven textile machinery, British textile workers watched all the shuttles and wires in the textile machinery.
Later, with the application of steam power, workers were no longer workers in the work, and the efficiency of workers who supervised the work of the machine was greatly improved.
Nowadays, most imaging medical experts are both "workers" and "supervisors". The artificial intelligence-assisted diagnosis can greatly reduce repetitive labor. This is a clinical scene in the application of Tuma's deep-dimensional products in Cui Wei's eyes.
"killing" back to China from the United States
Zhong Rong and Gao Dashan started co-founding Tuoma Shenwei in the United States in April 2015. The CEO is a medical imaging expert and the CTO is an AI technical expert.
These two brothers of Tsinghua University have introduced artificial intelligence and deep learning into the field of intelligent medical diagnosis and medical data analysis, research and development of automated medical diagnosis and medical data analysis systems.
Tuma Deep has collaborated with top institutions such as Mayo School of Medicine and Stanford University School of Medicine, UCSD Medical Center, and Duke University Medical Center.
In the United States, there are core technologies and products, and then released in China.
Technology from abroad to the country needs to adapt to the actual application of Chinese hospitals, constantly optimize, iterate, improve, add more services, and form a solution. The same is true of Cui Wei, who is constantly learning about the domestic medical market.
Cui Wei, a student of medical science, has studied international trade, business management, lawyers, and international finance. Both Philips and GE are responsible for global product strategies.
“I promised my son to return to China when he was 18 years old. After returning to China, he was responsible for the Early Information and Technology Division of Asia, and then joined Tuma.â€
It’s not just Cui Wei’s one who joined Tuma’s deep technology with technology from abroad, but a group of people. In terms of artificial intelligence, big data and algorithms, many people are concentrated in the San Francisco Bay Area. "Our company's R&D backbone is basically from Microsoft, Apple, Google and Imaging, which is a great combination."
The most advanced algorithmic technology is available in the United States. At present, Tuma Deep has a total of four R&D centers in the United States, Beijing, Suzhou and Shanghai.
"Now we are deeply involved in five different aspects of lung cancer, liver cancer, stroke, fracture, breast, etc., and are compatible with hospitals in the same server. Such a company has only one of us so far."
For this reason, after one year of establishment, Tuma deep completed the $1.5 million angel round of financing. After another year and a half, Tuma Shenwei announced that it had completed the B-round financing of RMB 200 million .
"Know what we have, know what kind of services we can provide, adjust according to international technology trends, domestic policy changes. Focus on medical imaging, and continue to cover drug research, pathology, disease prediction in algorithms and application products. And expansion." Cui Wei said.
Innovation before starting a business
Tuma Deep is an innovative startup company, which is Cui Wei's interpretation.
The distribution of medical resources is uneven, and the number of people is constantly flowing. This is the status quo of domestic medical care. “We see huge contradictions. In our application, we are addressing the just-needed and painful points of research in data, algorithms, products, clinical applications and service solutions.â€
It takes a long time for small and medium-sized hospitals to train imaging doctors. Tuma Deep maintains products through the first-class technical advantages through the automated methods of medical imaging diagnosis, serving the clinic.
Cui Wei took the public inspection law of the legal system as an analogy: the Public Security Bureau arrested the suspects; the evidence of the procuratorate was sufficient to sue, and the evidence was insufficient to be retired; the court decided whether it was a shooting or a prison. Before the absence of artificial intelligence, most doctors were both public security and procuratorates.
If a city achieves full coverage of public security, it needs 400,000 police officers. This is a huge labor cost. In an intelligent way, it can strengthen public security with 100,000 police + 300,000 cameras. In addition, there is a time problem. A camera can take a street. All scenes within a few days are recorded.
People can't do it. This is advanced productivity. The same is true of "medical imaging + artificial intelligence" technology.
Why is medical imaging more mature in the application of artificial intelligence? Western medicine belongs to evidence-based medicine. It has relative standards and formats. Certainty makes it possible to automate medical images and reduce people's efforts in repetitive work.
"Our artificial intelligence can exceed the level of universal doctors. Now there are many non-public medical institutions that use the corresponding level of our products as the standard for quality control, and decide whether doctors can be employed to reduce medical disputes. The system is for training."
For short-term, in public hospitals, non-public medical institutions, and physical examination centers, through services, products, technology, agents, partners, you can quickly make a profit. For example, in the cloud deployment, it is very difficult for a small hospital to pay for one-time payment. It can take a clinician like a financial leasing, or pay-per-view, and a wider service.
For the medium and long-term , cooperation with international brands is destined to require long-distance running . This part of ' Today ' has started to invest, and ' the day after tomorrow ' will have a profit .
Domestic is the largest demand for medical AI
"We talked with many hospitals and medical practitioners, and talked about medical conditions at home and abroad, malignant tumors, etc." Cui Wei said.
The US medical system is based on insurance companies, supplemented by the state, China is the country-based, and commercial insurance is supplemented.
China is actually the biggest demand for “medical + artificial intelligence†to ensure that people can diagnose diseases in a suitable place, rather than everyone going to a big city.
Medicine is actually complex, and the most urgent need is diagnosis and treatment. As long as the diagnosis is determined first, the treatment can have different choices in different places.
“Medical + AI†is a tool and a reflection of advanced productivity. The combination of artificial intelligence and imagery is the inflection point of CT influence, and it is a huge cooperation of ultrasound application in medical perspective.
The role played by medical AI is not only efficiency, but also a revolution in effectiveness, effectiveness, and effectiveness . This is Cui Wei’s view .
Cui Wei believes that medical AI plays a role in the three-level medical treatment. First, the things that can't be done before through human-computer integration are now done.
Second, efficiency can be improved with equal human resources in a unit of time.
Third, the diagnosis and guidance in the heart and lung nodules, including liver cancer, breast, fracture, improve medical effects.
Fourth, research on many non-public medical care has greatly improved its effectiveness.
In the Chinese medical society, every enterprise needs to realize its own value and to do a good job combination .
Hospital, patient education, hardware and software platforms and financiers to form a very good ecosystem in the industry which, so it will allow the formation of advanced productive forces instead of the old old torrent productivity.
This article is an exclusive interview with the original "Peptide Chain"
Author | Yang Huilin
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