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AI dominates China’s elite doctors in cancer diagnosis competition

[Credit: China Daily/Twitter]

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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.

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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.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla lands regulatory green light for Robotaxi testing in new state

This will be the third state in total where Tesla is operating Robotaxi, following Austin and California.

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Credit: Tesla

Tesla has landed a regulatory green light to test its Robotaxi platform in a new state, less than three months after the ride-hailing service launched in Texas.

Tesla first launched its driverless Robotaxi suite in Austin, Texas, back on June 22. Initially offering rides to a small group of people, Tesla kept things limited, but this was not to be the mentality for very long.

It continued to expand the rider population, the service area, and the vehicle fleet in Austin.

The company also launched rides in the Bay Area, but it does use a person in the driver’s seat to maintain safety. In Austin, the “Safety Monitor” is present in the passenger’s seat during local rides, and in the driver’s seat for routes that involve highway driving.

Tesla is currently testing the Robotaxi platform in other states. We reported that it was testing in Tempe, Arizona, as validation vehicles are traveling around the city in preparation for Robotaxi.

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Tesla looks to make a big splash with Robotaxi in a new market

Tesla is also hoping to launch in Florida and New York, as job postings have shown the company’s intention to operate there.

However, it appears it will launch in Nevada before those states, as the company submitted its application to obtain a Testing Registry certification on September 3. It was processed by the state’s Department of Motor Vehicles Office of Business Licensing on September 10.

It will then need to self-certify for operations, essentially meaning they will need to comply with various state requirements.

This will be the third state in total where Tesla is operating Robotaxi, following Austin and California.

CEO Elon Musk has stated that he believes Robotaxi will be available to at least half of the U.S. population by the end of the year. Geographically, Tesla will need to make incredible strides over the final four months of the year to achieve this.

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Tesla is improving this critical feature in older vehicles

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Credit: Tesla

Tesla is set to improve a critical feature that has not been present in older vehicles with a new update.

Tesla vehicles feature a comprehensive suite of driver assistance features, some of which aid in driving itself, while others support the vehicle’s surroundings.

One of those features is that of Driver Visualization, and with the rollout of a new update, owners of Intel-based Tesla vehicles are receiving an upgrade that will come with a simple software update.

Tesla plans to use Unreal Engine for driver visualization with crazy upgrade

The update will provide new visualizations while Intel-based vehicles are in reverse, a feature that was not previously available, but will be with Software Update 2025.32.2.

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The improvement was spotted by Not a Tesla App via TheBeatYT_evil:

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Previously, vehicles Tesla built were equipped with Intel-based processors, but newer cars feature the AMD chip, which is capable of rendering these visualizations as they happen. They were capable of visualizations when driving forward, but not in reverse, which is what this change resolves.

It is a good sign for those with Intel-based vehicles, as Tesla seems to be paying attention to what those cars are not capable of and improving them.

This was an undocumented improvement associated with this particular update, so you will not find any mention of it in the release notes that Tesla distributes with each update.

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Tesla looks to make a big splash with Robotaxi in a new market

Tesla has been transparent that it is prioritizing safety, but it believes it can expand to basically any geographical location within the United States and find success with its Robotaxi suite. CEO Elon Musk said it could be available to half of the U.S. population by the end of the year.

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Credit: Joe Tegtmeyer | X

Tesla is looking to make a big splash with Robotaxi in a new market, as the company was spotted testing validation vehicles in one region where it has not yet launched its ride-hailing service.

After launching Robotaxi in Austin in late June, Tesla followed up with a relatively quick expansion to the Bay Area of California. Both service areas are operating with a geofence that is expansive: In Texas, it is 173 square miles, while in the Bay Area, it is roughly 400 square miles.

Tesla has been transparent that it is prioritizing safety, but it believes it can expand to basically any geographical location within the United States and find success with its Robotaxi suite. CEO Elon Musk said it could be available to half of the U.S. population by the end of the year.

There have been plenty of reports out there that have speculated as to where Tesla would land next to test Robotaxi, and Nevada, Florida, Arizona, and New York have all been in the realm of possibility. These regions will need to approve Tesla for regulatory purposes before Robotaxi can officially operate.

Tesla is still testing and performing validation in several regions, and in Tempe, Arizona, things are moving forward as a Model Y with a LiDAR rig was spotted performing ground truth for the platform:

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With the LiDAR unit, many followers of the self-driving and autonomy space might wonder why Tesla uses these apparatuses during validation, especially considering the company’s stance and vision-based approach.

LiDAR is used for “ground truth,” which is basically a solidification or confirmation of what the cameras on the car are seeing. It is a great way to essentially confirm the accuracy of the vision-based suite, and will not be used on Robotaxi units used within the ride-hailing suite.

The Robotaxi platform was made available to the public earlier this month, as Tesla launched its app for iOS users.

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Tesla Robotaxi app download rate demolishes Uber, Waymo all-time highs

Downloading the app allows you to join a waitlist, giving you the opportunity to utilize and test the Robotaxi platform in either Austin or the Bay Area.

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