Deepseek and Alibaba: breakthrough at specialist level? The Chinese AI push in the healthcare system

Alibabas Ki trumps traditional systems: what that means for doctors

With Deepseek and Alibaba, the Chinese technology sector has developed two groundbreaking AI systems that could fundamentally change the healthcare system. Alibabas Medical AI achieved an accuracy of 74.8 percent at the level of a “Deputy Chief Physician” at Chinese specialist exams and exceeded established systems such as GPT-4O. At the same time, Deepseek is already used in intensive care units, emergency rooms and pediatric departments of Chinese hospitals, where doctors assist in analyzing complex cases and treatment recommendations. These developments raise fundamental questions about the future of the medical profession, while there are considerable data protection and security concerns. The stock market reactions already show significant effects on the health sector, with rising courses in “AI+Medicine” shares and increased volatility in health technology companies.

Deepseek: From chatbot to medical assistant

Deepseek has developed from a simple AI chatbot to a powerful medical assistance system that is already used in several Chinese hospitals. The Southern Hospital of the University of Shenzhen, the first folk hospital in Kunshan and the second affiliated hospital at the Army medical university have all explained the implementation of the Deepseek model. The integration of the medical model Med-GO, which was created after the integration of Deepseek-R1 (671b), was particularly remarkable and is already used in clinical facilities such as the Shanghai Oriental Hospital.

The practical use of deepseek in medicine is particularly evident in critical areas such as intensive care units, emergency rooms and pediatrics. In the past, the treatment of emergency patients hung exclusively from the expertise of the doctors, today a finely coordinated deepseek system can quickly analyze different data types and help doctors to clarify complex cases. The system acts as an intelligent, around the clock available AI assistant, which continuously "evaluated" and develops further.

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Technical basics and performance

Deepseek-R1 is based on a revolutionary approach of reinforcing learning (Reinforcement Learning), which is applied directly to the basic model, without prior monitored fine-tuning. This method enables the model to independently develop thinking processes for solving complex problems, which leads to skills such as self -verification, reflection and generation of long chains of arguments. Deepseek-R1-Zero demonstrates remarkable skills in medical reasoning, even if the system is occasionally confronted with challenges such as endless repetitions and language mix.

The efficiency of Deepseek is particularly impressive: the system is said to have been developed at significantly lower costs than comparable models and is about 30 times cheaper in use than Openai O1 and five times faster. This cost efficiency makes Deepseek an attractive alternative for health facilities that want to implement powerful AI systems without having to make enormous investments.

Alibabas Medical AI: breakthrough at specialist level

Alibaba has achieved a significant breakthrough in medical diagnostics with its latest AI application. The Healthcare system based on the QWEN 2.5-32b was achieved in the state Chinese specialist examination an accuracy of 74.8 percent and thus the level of a “Deputy Chief Physician”, the fourth highest level of doctors in China. In twelve different fields, including internal medicine, surgery, gynecology and pediatrics, the AI ​​was able to keep pace with experienced doctors. Even at the highest medical level (“Chief Physician”), the system achieved a considerable hit rate of 56.4 percent.

Benchmark tests certify the alibaba system a higher precision than established competitive products such as GPT-4O from Openaai and deepseeks R1 and V3. This superiority in standardized tests underlines the technological progressiveness of Chinese AI development in the medical field. The AI ​​is fully integrated into Alibaba's company -owned “Quark” app and is automatically activated when users ask health -related questions.

Integration in clinical work processes

The development of Alibabas Medical AI took place in close cooperation with clinics and medical institutions that already integrate the system into its own applications. This practical development ensures that the AI ​​not only works theoretically, but can also be used effectively in real clinical environments. Alibaba strategically pursues the goal of making AI-supported health counseling available broadly, also through international partnerships such as the World Health Organization Who.

In addition, Alibaba has made significant progress in the early cancer recognition. The AI ​​tool “Damo Panda” received the award from the US Food and Drug Administration (FDA) as a “groundbreaking device” for the detection of pancreatic cancer. This deep learning model, which was trained on 3,208 computer tomography scans, shows a 34.1 percent higher sensitivity in cancer detection as a traditional radiological methods. In a pilot project in China, the system examined 40,000 people and discovered six cancer in the early stages, two of which were overlooked in conventional tests.

Effects on medical specialists

The integration of deepseek and alibabas AI systems into the healthcare system leads to fundamental changes in the working method of medical specialists. A vivid example of this transformation provides a Chinese doctor who expressed his frustration in a video that a patient questioned his treatment using Deepseek. When the doctor then checked the medical guidelines, he found that they had been updated, which questioned his original diagnosis. This case illustrates how AI systems not only force patients but also doctors to rethink their practices and continuously update them.

The increasing use of AI in medicine significantly changes the dynamics between doctors and patients. More and more patients are using AI systems to check their diagnoses and explore alternative treatment options. This development questions the traditional role of doctors as the sole authority in medical matters and requires an adaptation of medical communication and way of working.

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Collaboration between humans and machines

Despite the impressive skills of Deepseek and Alibabas AI systems, experts warn that they only rely on AI. The need for cooperation between man and machine is emphasized by experts, since AI models can process large amounts of data and recognize patterns, but may not completely replace human intuition and experience. In addition, there are limits with regard to inherent distortions, hallucinations and output reliability in all AI systems, which requires rigorous validation and human supervision of clinical applications.

The integration of AI into medical work processes, medical training and research offers significant opportunities, but also brings challenges in terms of security, accuracy and responsible AI government. With careful implementation, ethical considerations and international cooperation, Deepseek and similar AI systems could improve health innovation and provide inexpensive, scalable AI solutions, while human expertise remains the focus of patient care.

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Data protection zoff around Deepseek: China's AI in healthcare under criticism

The implementation of Chinese AI systems in healthcare accuses considerable data protection and security concerns. Deepseek is subject to Chinese censorship regulations and cannot address certain political issues, which raises questions about the objectivity and completeness of the information provided. The software is systematically censored and dodges on sensitive topics such as the Chinese state and party leader Xi Jinping or the student protests on Tiananmen Platz.

The data protection practices from Deepseek are particularly problematic. Analyzes show that the iOS app not only collects general data such as IP addresses and device information, but also gains detailed insights into the user behavior and the type of app use. This comprehensive information is stored without opt-out option on servers in China, which could enable authorities access. Experts warn of security gaps, jailbreaks and potential malware.

Regulatory reactions

The data protection concerns have already triggered regulatory reactions. The American Federal Trade Commission (FTC) is currently examining whether Deepseek violates applicable data protection laws. The Italian data protection authority has also initiated investigations. In different countries, demands for a ban on the app are loud, similar to TikTok. The EU data protection authorities could also be active shortly, since it could be a potential “iOS security gap 2025”.

The challenges in the field of data protection and international governance are tightened by Deepseeks Compliance with Chinese data exchange regulates, which underlines the urgent need for clear international data protection and governance standards. This is particularly relevant for health treatments where sensitive patient data are processed and the highest security standards are required.

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Market reactions and economic effects

The announcement of the medical AI progress of Deepseek and Alibaba has already shown significant effects on the financial markets. On February 18, the “AI+Medicine” shares continued their upward trend on the Hong Kong Stock Exchange and the “AI+Pharma” shares on the Shanghai exchange. Yidu Tech's share price has almost doubled since February, while the shares of JD Health and Alibaba Health also rose. This development shows that the long stagnating AI medical industry receives new swing.

Alibaba Health recorded an impressive annual performance with an increase of 34.1 percent, although the share also experienced significant setbacks due to its high volatility. The company's AI strategy drives the volatility, with the stock with a 30-day volatility of 76.8 percent. Cloud-based solutions revolutionize digital health care, while AI integration is supposed to massively expand the service portfolio.

Analyst reviews and market outlook

The expert opinions on the market prospects diverge widely. While some analysts see a price target of 7.02 HKD for Alibaba Health, others remain much more reserved at 3.40 HKD. This discrepancy reflects uncertainty about the long-term effects of AI integration in the healthcare system. The Alibaba Health Information Technology company, as an investment holding company, which mainly offers internet solutions for medical and pharmaceutical industry, has a price-profit ratio of 48.4.

The international partnerships, such as those between the WHO and Alibaba to promote AI in medicine, underline the growing interest in digital health solutions. The WHO Cooperation Center for Digital Health, the first of its kind in West Pacific, works with Alibabas Damo Academy to do research together in the areas of digital health and artificial intelligence.

Global AI competition and technological sovereignty

The success of Deepseek and Alibaba in the medical field are part of a larger geopolitical race for supremacy in AI technology. After the “race into space” between the USA and the Soviet Union in the 1950s, the race for the best AI technology is the next openly held argument between West and East. With the “Made in China 2025” strategy, China plans to build the country into a global technology leader and has massively invested in AI development since 2015.

As a real newcomer, Deepseek caused a surprise. The company has existed for less than two years, employs only 200 employees and is said to have been developed with a comparatively small budget of around $ 5 million. In comparison, Openai was founded 10 years ago, employed around 4,500 people and has received $ 6.6 billion in capital so far. This efficiency discrepancy is already referred to in the USA as a “Ai-Sputnik moment”, since Deepseek has fundamentally shaken the existing dynamics of the AI ​​world.

Europe's position in the AI ​​race

Europe is in a challenging position between the two AI super powers. AI technologies are also being worked on in Germany and Europe, but so far as powerful voice models such as Chatgpt or Deepseek have not been developed in this country. The European AI strategy is increasingly focusing on ethical standards and regulation, while China and the USA primarily rely on technological breakthroughs and market dominance.

Paradoxically, the open source nature of Deepseek could use Europe because it offers an alternative to the proprietary systems of American companies. With its transparent, community-driven development, Deepseek enables larger adaptation options, regional specialization and cooperation between data researchers and clinicians. In addition, Deepseek supports offline deployment, which addresses some data protection concerns.

The role of AI assistants in the hybrid medicine of the future

The rapid development of deepseek and alibabas medical AI systems indicates a fundamental transformation of the healthcare system. Between 2016 and 2023, many companies have already tried to solve challenges such as the lack of qualified doctors with the help of AI. Current progress of Chinese companies significantly accelerate this development and set international standards for AI-based medicine.

The future will probably produce a hybrid landscape in which AI systems act as highly developed assistants, while human expertise remains indispensable. Deepseek and similar systems could make a significant contribution to improving health care, especially in underserved areas and developing countries. Alibaba's commitment to make more developing countries accessible to medical AI could play a key role.

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Necessary adjustments in healthcare

The integration of advanced AI systems requires comprehensive adjustments in medical training, work processes and patient care. Medical specialists have to learn to collaborate effectively with AI systems, while their unique human skills such as empathy, complex decision-making and ethical judgment have to be further developed. Continuous further training becomes even more important for doctors because medical knowledge and AI skills develop rapidly.

Regulatory framework conditions must be developed to standardize the use of AI in medicine and at the same time ensure patient safety and data protection. International cooperation in the development of standards for AI-based medicine will be crucial to both promote innovation and minimize risks.

Data protection versus innovation: The challenge for AI in healthcare

Developments at Deepseek and Alibaba mark a turning point in the medical AI landscape, which goes far beyond technological innovations. While these systems demonstrate impressive skills in medical diagnostics and decision -making, they do not constitute an immediate threat to the employment of doctors. Rather, they indicate a transformation in which medical specialists have to adapt and expand their roles in order to effectively collaborate with intelligent systems.

The considerable data protection and security concerns connected to Chinese AI systems require careful considerations in implementation, especially in sensitive areas such as healthcare. The censorship problem and data transmission to Chinese servers are legitimate concerns that must be addressed by robust regulatory framework and international standards.

The “Chinese Ki double strike” by Deepseek and Alibaba undoubtedly shaken the global AI landscape and shows that innovation does not necessarily have to be associated with enormous investments. These developments force both Western companies and regulatory authorities to re-assess their strategies and ultimately lead to a more various and competitive AI landscape. For Europe and Germany, there are opportunities to benefit from the open source nature of these systems and at the same time to develop their own ethical and technological standards.

The future of medicine will probably be characterized by close cooperation between human expertise and AI support, whereby the art will be in combining the strengths of both approaches and at the same time minimizing the risks. Doctors are not unemployed, but they have to prepare for a world in which AI becomes an indispensable partner in patient care.

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