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AI dominates China’s elite doctors in cancer diagnosis competition
A custom-built AI designed to diagnose brain tumors and predict hematoma expansion dominated some of China’s best doctors in a competition last Saturday in Beijing. The AI, dubbed BioMind, ultimately scored 2:0 against its human competitors, comprised of 15 senior doctors from China’s premier hospitals.
BioMind was developed by a collaboration between a team from the Artificial Intelligence Research Center for Neurological Disorders at the Beijing Tiantan Hospital and researchers from the Capital Medical University. BioMind’s developers opted to feed the AI with data sets featuring tens of thousands of images depicting nervous-system-related diseases, which were retrieved from Tiantan Hospital’s archives stretching over the past decade.
Wang Yongjun, executive vice-president of Tiantan Hospital, stated that this training ultimately enabled the AI to become proficient in diagnosing neurological diseases such as meningioma and glioma with an accuracy rate of over 90%. According to Wang, such rates are comparable to the accuracy of a senior doctor, according to a report from state-owned Xinhua News.
During its the competition on Saturday, BioMind was able to correctly diagnose brain tumors with an accuracy rate of 87% out of a total of 225 cases. The AI was also able to complete its task in 15 minutes. In comparison, the team of 15 elite doctors was able to achieve an accuracy rate of 66% when diagnosing brain tumors, finishing the task in 30 minutes. Apart from this, BioMind was able to make correct predictions in 83% of brain hematoma expansion cases, while its human competition displayed a more conservative 63% accuracy.
Despite the AI’s strong performance against China’s elite doctors on Saturday, however, Cheng Jingliang, a professor of radiology at the First Affiliated Hospital of Zhengzhou University, stated that artificial intelligence systems for the medical field are still well into their infancy. According to Cheng, AI is already being used in hospitals to help doctors read images such as lung scans, but when it comes to giving full diagnoses to patients, artificial intelligence still lags far behind that of senior medical professionals.
In a statement to China Daily, Paul Parizel from the Antwerp University Hospital in Belgium, who served as a member of the jury during last Saturday’s AI vs. human doctors competition, believes that systems such as BioMind would prove to be incredibly valuable when integrated to existing medical practices.
“It will be like a GPS guiding a car. It will make proposals to a doctor and help the doctor diagnose. But it will be the doctor who ultimately decides, as there are a number of factors that a machine cannot take into consideration, such as a patient’s state of health and family situation,” he said.
The United States initially led the artificial intelligence race, but over the years, China has steadily gained ground in the AI industry. Thanks to a population that is compliant to the application of new technologies, as well as a government that actively pushes AI researchers to push further, China is on track to overtake the United States in the near future. Last January alone, the Chinese government announced plans to build a $2.1 billion technopark in Beijing that is expected to house companies actively involved in AI research and development. The United States does not have a comparable initiative to date. This was confirmed by Jack Clark of Elon Musk-backed OpenAI, who previously stated that the country lacks a central national strategy on artificial intelligence.
“It is confusing that we have this technology of such obvious power and merit and we are not hearing full-throated support, including financial support,” Clark said.
Tesla CEO Elon Musk revealed today on the social media platform X that legacy automakers, such as Ford, General Motors, and Stellantis, do not want to license the company’s Full Self-Driving suite, at least not without a long list of their own terms.
“I’ve tried to warn them and even offered to license Tesla FSD, but they don’t want it! Crazy,” Musk said on X. “When legacy auto does occasionally reach out, they tepidly discuss implementing FSD for a tiny program in 5 years with unworkable requirements for Tesla, so pointless.”
I’ve tried to warn them and even offered to license Tesla FSD, but they don’t want it! Crazy …
When legacy auto does occasionally reach out, they tepidly discuss implementing FSD for a tiny program in 5 years with unworkable requirements for Tesla, so pointless. 🤷♂️
🦕 🦕
— Elon Musk (@elonmusk) November 24, 2025
Musk made the remark in response to a note we wrote about earlier today from Melius Research, in which analyst Rob Wertheimer said, “Our point is not that Tesla is at risk, it’s that everybody else is,” in terms of autonomy and self-driving development.
Wertheimer believes there are hundreds of billions of dollars in value headed toward Tesla’s way because of its prowess with FSD.
A few years ago, Musk first remarked that Tesla was in early talks with one legacy automaker regarding licensing Full Self-Driving for its vehicles. Tesla never confirmed which company it was, but given Musk’s ongoing talks with Ford CEO Jim Farley at the time, it seemed the Detroit-based automaker was the likely suspect.
Tesla’s Elon Musk reiterates FSD licensing offer for other automakers
Ford has been perhaps the most aggressive legacy automaker in terms of its EV efforts, but it recently scaled back its electric offensive due to profitability issues and weak demand. It simply was not making enough vehicles, nor selling the volume needed to turn a profit.
Musk truly believes that many of the companies that turn their backs on FSD now will suffer in the future, especially considering the increased chance it could be a parallel to what has happened with EV efforts for many of these companies.
Unfortunately, they got started too late and are now playing catch-up with Tesla, XPeng, BYD, and the other dominating forces in EVs across the globe.
Tesla is backtracking on a strange adjustment it made to its in-car Navigation feature after numerous complaints from owners convinced the company to make a change.
Tesla’s in-car Navigation is catered to its vehicles, as it routes Supercharging stops and preps your vehicle for charging with preconditioning. It is also very intuitive, and features other things like weather radar and a detailed map outlining points of interest.
However, a recent change to the Navigation by Tesla did not go unnoticed, and owners were really upset about it.
For trips that required multiple Supercharger stops, Tesla decided to implement a naming change, which did not show the city or state of each charging stop. Instead, it just showed the business where the Supercharger was located, giving many owners an unwelcome surprise.
However, Tesla’s Director of Supercharging, Max de Zegher, admitted the update was a “big mistake on our end,” and made a change that rolled out within 24 hours:
The naming change should have happened at once, instead of in 2 sequential steps. That was a big miss on our end. We do listen to the community and we do course-correct fast. The accelerated fix rolled out last night. The Tesla App is updated and most in-car touchscreens should…
— Max (@MdeZegher) November 20, 2025
The lack of a name for the city where a Supercharging stop would be made caused some confusion for owners in the short term. Some drivers argued that it was more difficult to make stops at some familiar locations that were special to them. Others were not too keen on not knowing where they were going to be along their trip.
Tesla was quick to scramble to resolve this issue, and it did a great job of rolling it out in an expedited manner, as de Zegher said that most in-car touch screens would notice the fix within one day of the change being rolled out.
Additionally, there will be even more improvements in December, as Tesla plans to show the common name/amenity below the site name as well, which will give people a better idea of what to expect when they arrive at a Supercharger.
News
Dutch regulator RDW confirms Tesla FSD February 2026 target
The regulator emphasized that safety, not public pressure, will decide whether FSD receives authorization for use in Europe.
The Dutch vehicle authority RDW responded to Tesla’s recent updates about its efforts to bring Full Self-Driving (Supervised) in Europe, confirming that February 2026 remains the target month for Tesla to demonstrate regulatory compliance.
While acknowledging the tentative schedule with Tesla, the regulator emphasized that safety, not public pressure, will decide whether FSD receives authorization for use in Europe.
RDW confirms 2026 target, warns Feb 2026 timeline is not guaranteed
In its response, which was posted on its official website, the RDW clarified that it does not disclose details about ongoing manufacturer applications due to competitive sensitivity. However, the agency confirmed that both parties have agreed on a February 2026 window during which Tesla is expected to show that FSD (Supervised) can meet required safety and compliance standards. Whether Tesla can satisfy those conditions within the timeline “remains to be seen,” RDW added.
RDW also directly addressed Tesla’s social media request encouraging drivers to contact the regulator to express support. While thanking those who already reached out, RDW asked the public to stop contacting them, noting these messages burden customer-service resources and have no influence on the approval process.
“In the message on X, Tesla calls on Tesla drivers to thank the RDW and to express their enthusiasm about this planning to us by contacting us. We thank everyone who has already done so, and would like to ask everyone not to contact us about this. It takes up unnecessary time for our customer service. Moreover, this will have no influence on whether or not the planning is met,” the RDW wrote.
The RDW shares insights on EU approval requirements
The RDW further outlined how new technology enters the European market when no existing legislation directly covers it. Under EU Regulation 2018/858, a manufacturer may seek an exemption for unregulated features such as advanced driver assistance systems. The process requires a Member State, in this case the Netherlands, to submit a formal request to the European Commission on the manufacturer’s behalf.
Approval then moves to a committee vote. A majority in favor would grant EU-wide authorization, allowing the technology across all Member States. If the vote fails, the exemption is valid only within the Netherlands, and individual countries must decide whether to accept it independently.
Before any exemption request can be filed, Tesla must complete a comprehensive type-approval process with the RDW, including controlled on-road testing. Provided that FSD Supervised passes these regulatory evaluations, the exemption could be submitted for broader EU consideration.
Tesla CEO Elon Musk sends rivals dire warning about Full Self-Driving
Tesla backtracks on strange Nav feature after numerous complaints
