Internet + AI: Using AI to alleviate cancer treatment problems

Although relying on the popularization of knowledge and the improvement of treatment technology, we have gradually got rid of "talking about cancer". However, when data from the World Health Organization showed that there were 14 million new cancer patients worldwide in 2012, and this number is expected to increase to 24 million within 20 years, which will exceed the growth rate of the global population. The sense of fear seemed to be activated again. How can we win the battle of human cancer? In order to make the answer to this question clearer, whether it is a basic research scientist, a clinical doctor expert, or a pharmaceutical, medical facility, or medical service company, they are persevering in exploring. They have become patients trapped in the haze of cancer. Hope.

Hai Xinzhihui is also a fierce player in this anti-cancer journey. As an emerging technology company, Haixin Zhihui has received more than 20 million yuan in angel round financing. It combines the Internet and AI to develop Haixin's anti-cancer App for cancer patients and doctors. The App contains the first domestic intelligent diagnosis and treatment system for tumor diseases. The system combines the latest domestic cancer diagnosis and treatment specifications with artificial intelligence, and integrates decades of clinical experience from authoritative oncologists to provide the best treatment for different patients at different stages Program and treatment planning recommendations. In addition, the Haixin Anti-Cancer App also provides a complete set of professional normative systems for tumor treatment, including professional science popularization, disease interpretation, plan analysis, treatment planning management, drug think tanks, etc. to help cancer patients and their families truly fight cancer in a scientific way.

"We hope to help solve a real social problem, that is, to help improve the level of cancer clinical treatment in China." Li Yingyun, the founder of Haixinzhihui, expressed her ideals, which is also the feelings that entrepreneurs in the medical industry adhere to. "Our aim is to use new technology to solve or improve old problems." For Li Yingyun, he believes that both AI and the Internet are tools to solve problems, and the essence and original intention of medical treatment need to return to whether it has improved cancer diagnosis and treatment. The status quo.

So, does the current status of cancer diagnosis and treatment need to be improved by technology? First of all, as mentioned above, cancer has not yet been conquered, and inspection methods and treatment methods are constantly updated and iterated. Therefore, the choice of treatment options is "the smallest difference is a thousand miles away." When faced with cancer, patients are easily at a loss and miss an important window of treatment time, making the damage caused by the disease irreversible. Because cancer is a very complex subject, generally only the top three hospitals in Beijing, Shanghai, Guangzhou and other big cities have top experts. Therefore, patients from all over the country are gathered here, and the final situation is that a large number of cancer patients are waiting for diagnosis and treatment by a very small number of experts.

How to improve this situation? Is there a better solution that allows both experts and patients to worry, feel at ease, and rest assured? Li Yingyun believes that the solution formed by the Internet + AI is a "match made in heaven" on this issue.

First of all, the main reason for the popularity of the Internet medical consultation platform that year was that the Internet broke the distance between time and space, allowing patients to avoid bumps, and doctors could also use their leisure time to help more patients. Therefore, Internet consultation is indeed a positive innovation. However, Li Yingyun believes that traditional Internet consultation platforms still have more room for improvement in terms of efficiency. "The Internet consultation platform allows patients to upload photos, pass questions to the doctor, and then ask the doctor to see the photos and cases, and finally the doctor to answer. But in fact, the doctor needs to go back and forth page after page to view the pictures on the computer. , Sorting, in fact, there is a time cost." He said.

When it comes to efficiency, we have to mention AI. As a new technology that governs "inefficient", AI has naturally appeared on the scene. After Haixin Anti-Cancer is driven by AI, it can greatly improve the efficiency of expert online consultation. It is worth mentioning that the old problem of AI+medicine—data standardization is not an unsolvable problem in the field of oncology. Because tumor diagnosis and treatment standards are clearly defined, even if the doctors’ descriptions are different, very clear disease data will be formed, and the data can be normalized under certain rules. Moreover, Haixinzhihui works closely with authoritative cancer experts from the Chinese Society of Clinical Oncology to jointly promote data standardization and system planning issues.

So, what new experience does the Haixin Anti-Cancer App specifically bring? First of all, on the patient side of the App, patients only need to take photos and upload their medical records, and the Haixin Intelligent System can perform intelligent medical record analysis. According to the intelligent analysis, the system will generate the patient's "disease course timeline", systematize the patient's key disease information into an electronic case, and generate intelligent treatment recommendations from this, and finally the expert will review the intelligent system plan. “Experts take time to see the medical records, and then judge and give treatment suggestions. This is similar to the problem-solving process of an expert making test papers. AI gives medical record interpretation and treatment suggestions for experts to evaluate the answers. At this time, the role of the expert is to correct the test paper. Teachers. Teachers can actually correct 100 test papers in a set of test papers, which improves the efficiency of diagnosis and treatment of experts." According to Li Yingyun, AI speeds up the service process from the original 30 minutes to two or three minutes, which can make it even better. Many patients can enjoy this service.

Internet + AI: Using AI to alleviate cancer treatment problems

Li Yingyun once expressed that Haixinzhihui's goal is to improve the level of cancer clinical treatment in China, so it is far from enough to focus on patients. At the recent China Clinical Oncology Conference, Haixin Zhihui demonstrated the professional version of Haixin Anti-Cancer App for oncologists. The doctor can input some of the patient's condition into the AI ​​system, and the system will give corresponding suggestions, such as: treatment path, patient's existing risk prompts, high-risk factors, drug resistance in past treatments, and subsequent treatment plan planning. At the meeting, on-site experts said, “We hope that such products can be popularized in more grassroots hospitals, assist more grassroots doctors, and improve the overall level of clinical treatment.” And just as smart navigation has greatly reduced traffic accidents and violations, smart diagnosis and treatment The system can reduce violations and traffic accidents in cancer treatment.

“As the market’s recognition of AI products increases, the AI ​​algorithm itself becomes more accurate. In the future, perhaps 80% of the cases that can be standardized and regularized can enter the exemption link after being verified by a large number of experts. In other words, the advice given by artificial intelligence can be directly provided to patients." Li Yingyun imagined the ideal development trend in her mind.

In fact, as far as the market environment is concerned, the addition of AI to the Internet medical consultation platform is nothing new. Internet medical giants Ping An Good Doctor and WeDoctor have successively entered the AI ​​field: Ping An Good Doctor launched an intelligent auxiliary diagnosis and treatment system last year, and then announced that it would invest 3 billion in medical AI. WeDoctor released two medical AI products-Ruiyi Smart Doctor and Huatuo Smart Doctor. In addition, Internet medical start-ups such as Aibang Diagnosis are transforming into Internet + AI medical platforms. The contest of Internet medical companies seems to have shifted to AI. Under such a background, will Haixinzhihui have strong competitive pressure?

Li Yingyun said, "We have our own competitiveness in both the technical and medical thresholds." First of all, he said that the team's technical strength has a strong accumulation. Li Yingyun was responsible for the big data and AI business of Ant Financial at Alibaba. The technical team also has a long time experience in the AI ​​field. In terms of medical capabilities, the in-depth cooperation with authoritative experts from the Chinese Society of Clinical Oncology has given Haixinzhihui a very solid medical basic resources.

Secondly, he said that the Haixin Anti-Cancer App has been in research and development very quietly for a year, which has accumulated a certain time advantage in product polishing. "Doing things is not done overnight. Just like AlphaGo finally defeated Ke Jie, it also experienced challenges, iterations, and optimizations. We are also constantly learning and improving in rounds of clinical trials." He said.

It is reported that the Haixin Anti-Cancer App is currently in the trial operation stage, and is currently online for esophageal cancer, stomach cancer, colon cancer, rectal cancer, and lung cancer. Li Yingyun revealed that breast cancer and liver cancer will be diagnosed by the end of this year. In terms of business model, Li Yingyun said that the problem of demand has been solved, and the product is needed, and it will naturally be commercialized quickly. At present, the reputation of Haixin Anti-Cancer is not bad. Li Yingyun shared a short story: During the trial operation of Haixin Anti-Cancer App, the system has repeatedly found omissions in the current treatment of patients and prompts them in time to help patients effectively reduce To treat hidden dangers. For example, a patient with colon cancer in Lishui, Zhejiang, has undergone colectomy and is preparing to receive postoperative adjuvant chemotherapy, but at this time the system found that this patient had not undergone a complete assessment of metastasis exclusion during the diagnosis and treatment process. Lead to deviations in the overall treatment direction. After being reminded, the attending doctor made up relevant examinations in time and took a reassurance pill for the patient's follow-up treatment.

"AI services for medical care should exist as a kind of inclusive technology." Li Yingyun said.

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