GE Healthcare booth is seen ahead of the 2022 China International Fair for Trade in Services (CIFTIS) at China National Convention Center on August 28, 2022 in Beijing, China.
CareIntellect for Oncology, as the tool is called, will help oncologists get up to speed on a patient’s history and disease progression by quickly showing them the data they need, the company said. GE said it wants to spare oncologists the headache of digging through records so they can focus on caring for their patients.
Health-care data is notoriously difficult to analyze, and as much as 97% of the data produced by hospitals goes unused, according to a Deloitte report. That information is stored across numerous vendors and file formats such as images, lab test results, clinical notes and device readings, which can be extremely taxing for doctors to sort through.
“It’s very time-consuming, very frustrating for these clinicians,” Dr. Taha Kass-Hout, GE HealthCare’s global chief science and technology officer, told CNBC in an interview.
CareIntellect for Oncology will be able to summarize clinical reports and identify when patients are deviating from their treatment plans, Kass-Hout said. The system can flag when a patient misses a lab test, for instance, so that their doctor can determine the best next steps.
“For cancer patients, the treatment journey can last years and involve numerous doctor visits,” he said.
GE HealthCare’s CareIntellect for Oncology
Courtesy of GE HealthCare
CareIntellect for Oncology can also help identify relevant clinical trials that patients might be eligible for, saving oncologists hours of work, said Chelsea Vane, vice president of digital products at GE HealthCare. That process has traditionally required doctors to scroll through a database of available trials, memorize inclusion and exclusion criteria and dig through patient records to determine a good fit, Vane told CNBC.
“What we’ve done is remove that,” she said.
The purpose of the new app is to save oncologists time and effort, but if doctors want to dive into more detail, CareIntellect for Oncology allows them to view the original record that’s referenced, the company said.
GE HealthCare is planning to make CareIntellect for Oncology widely available to U.S. customers in 2025, and it will initially be optimized for prostate and breast cancers. Health organizations such as Tampa General Hospital are already evaluating it, the company said. Since the tool is cloud-based, it will drive recurring revenue for GE HealthCare, Kass-Hout said.
The company is planning to introduce additional apps under the CareIntellect brand in the future, Kass-Hout said. The oncology tool is the first offering, and health-care organizations will be able to easily pick and choose the apps that they want to enable, he added.
GE HealthCare is also hoping to integrate its CareIntellect products with some of the other early stage AI initiatives it teased on Monday.
The company highlighted five new AI products that it is developing, including a collaborative team of AI agents, a tool to predict an aggressive type of breast cancer recurrence, and a tool to flag suspicious mammography scans to radiologists more quickly.
GE HealthCare decided to preview the new tools to give customers an idea of the problems it’s trying to solve, Kass-Hout said. The company will solicit feedback from health-care organizations and work with regulators as necessary, he said.
For instance, GE HealthCare is exploring how a group of AI agents can work together as a team to support doctors through its tool called Health Companion.
The agents in Health Companion will be trained as experts in specific domains, such as radiology, pathology or genomics, and offer insights based on their expertise, Kass-Hout said. The agents could identify whether a specific symptom is a side effect of treatment or a sign of disease progression, for example, and suggest next steps, he added.
Ideally, the tool will give doctors the same kind of support they’d expect from working with a multidisciplinary team, Kass-Hout said. But while consulting a panel of experts can take days or weeks, Health Companion would be available immediately.
“At the moment, it’s an early concept,” he said. “Our aim is to elevate the standard of care and get ahead of the overburden of clinicians trying to take care of their patient.”
Global tech stocks rallied Thursday as investors piled back into AI-related names, buoyed by Nvidia earnings.
Nvidia topped forecasts for revenue, which jumped 62% to $57.01 billion year-on-year, and issued stronger-than-expected fourth-quarter sales guidance, giving investors the confidence they were looking for to continue placing bets on the AI industry. Shares were 5% higher in premarket trade.
In Europe, Dutch semiconductor firms BESI and ASMI moved up over 3% and 2% in the first hours of trading, respectively. ASML, which makes critical equipment for semiconductors, gained 2.1%.
Stateside, investors flocked to tech stocks in premarket trade: AMD rose 5%, Arm gained almost 4%, Micron Technology advanced 2.7%, Marvell Technology added 3.3%, Broadcom was last seen 3.1% up and Intel moved 2% higher.
‘Phenomenal growth’
Dan Hanbury, global equity portfolio manager at Ninety One, which holds Nvidia as its second-largest holding in its global strategic equity fund, cautiously welcomed Nvidia’s share price jump in Thursday’s premarket trade.
“As a holder, it’s great to see an early positive reaction but of course as we know those reactions can reverse further into the day,” Hanbury told CNBC’s “Squawk Box Europe.”
“Our reading of the numbers is they are very strong. Clearly, we can get caught up in the quarterly noise of a company like this but if we just put those [numbers] in context … only three years ago they were delivering $15 billion of data center revenue, we’re now looking at consensus forecasts into next year of $280 billion,” Hanbury said. “That is phenomenal growth that these guys are delivering.”
Karen McCormick, chief investment officer at London-based venture capital company Beringea, spoke with CNBC’s “Squawk Box Europe” about some of the recent moves to bulk-up on AI and scale, particularly following Nvidia and Microsoft‘s recent push to invest up to $15 billion in OpenAI rival Anthropic.
“It’s always a little bit intimidating to contradict Jensen Huang right after he has made phenomenal earnings results but in terms of the almost incestuousness of the valley and the AI companies, it is more than we have seen in the past,” McCormick said.
“I mean, if you think about traditionally, we might have called something like this vendor financing, where your vendor is helping to support the business,” McCormick said. “In this case we are just doing it with hundreds of billions of dollars and the ecosystem itself is now so intertwined that it’s almost a little bit nerve-wracking because if we are in a bubble and if any of that bubble bursts, what is going to happen to all of the related businesses?”
‘Nowhere near as bad as 1999’
The culmination of circular dealmaking, debt issuances and high valuations added pressure to the market ahead of Nvidia’s much-anticipated results, despite other Big Tech firms posting solid quarterly earnings.
“The flip side to that is that each of them has incredibly robust balance sheets and incredibly robust investors, who may not let them fail either way,” McCormick said.
Quilter Cheviot’s global head of technology research and investment strategist Ben Barringer, added that Nvidia’s valuation isn’t “particularly excessive.”
Valuations aren’t that streteched when you look at the core big tech companies, he told CNBC’s “Europe Early Edition” on Thursday.
In terms of debt that’s also at the peripheral, he said. While Meta and Amazon have raised debt, “they’re still net cash positioned,” Barringer added.
“I think it’s more about them managing their treasury position and managing their balance sheet, as it were. Yes, it’s not great that they are doing some of this capex from debt, but it’s nowhere near as bad as 1999 where these were very heavily levered telecom companies doing a lot of this capex.”
However, Gil Luria, head of technology research at D.A. Davidson, told CNBC on Thursday that Nvidia is not a bubble barometer. “The concern is about companies raising a lot of debt to build data centers,” he said.
“Any concerns about Nvidia were certainly laid to rest [with Nvidia’s earnings], but that doesn’t mean that we don’t need to keep an eye on companies lending or borrowing to build data centers,” Luria added.
Shares in AI darling Nvidia popped in premarket trade after the U.S. firm beat expectations in third-quarter results after the closing bell on Wednesday.
Shares were last trading 5.5% higher at 4:15 a.m. ET.
Nvidia topped forecasts for revenue, which jumped 62% to $57.01 billion year-on-year, and issued stronger-than-expected fourth-quarter sales guidance.
“There’s been a lot of talk about an AI bubble,” Nvidia CEO Jensen Huang told investors on an earnings call, as the firm set out its view of the industry. “From our vantage point, we see something very different.”
Quilter Cheviot’s Ben Barringer, who is the global head of technology research and investment strategist, told CNBC’s “Europe Early Edition” that Nvidia brought relief in two-parts: it beat gross margins, which is important for semiconductor stocks, but the firm also addressed market concerns head-on in its earnings call.
“They really went through and sort of tried to disprove pretty much all of the bear cases out there. They talked about scaling laws, they talked about all the different elements of demand, not just hyperscaler capex, but the model demand that they’re seeing from companies like OpenAI and Anthropic, software demand, enterprise demand, sovereign AI,” Barringer said.
Nvidia also addressed supply constraints, vendor financing, partnerships and China. “So they really did a stand up job of calling out every elephant in the room, every every possible bear case, and going through and giving their perspective on it,” Barringer added.
Nvidia’s upbeat guidance helped lift investor sentiment around the AI trade, which has weakened in recent sessions amid fears about elevated valuations, debt financing and potential chip depreciation. The results boosted a slew of stocks across the AI ecosystem in the after-hours session, including chipmakers Advanced Micro Devices and Broadcom and power infrastructure companies such as Eaton.
Chinese tech company Baidu announced Monday it can sell some robotaxi rides without any human staff in the vehicles.
Baidu
BEIJING — Chinese robotaxi companies are expanding abroad at a faster clip than U.S. rivals Waymo and Tesla — at a time when industry leaders say autonomous driving is finally near an inflection point.
“I think robotaxi has reached a tipping point, both here in China and in the U.S.,” Baidu CEO Robin Li said Tuesday on an earnings call, according to a FactSet transcript.
“There are enough people who have [had the] chance to experience driverless rides, and the word of mouth has created positive social media feedback,” he said, noting that the wider public exposure could speed up regulatory approval.
It’s a global market with significant growth potential, likely worth more than $25 billion by 2030, according to Goldman Sachs’ estimates in May.
To seize that opportunity, Chinese companies are aggressively expanding overseas and claim they are close to making robotaxis a viable business, rather than simply burning cash to grab market share.
Such tie-ups “will be critical to success” as they enable robotaxi companies to operate more efficiently and reach profitability more quickly, said Counterpoint Senior Analyst Murtuza Ali.
Once we can generate profit for every single car in a second-tier city [like Wuhan] in mainland China, we can generate profits in lots of cities across the world.
Halton Niu
General manager for Apollo Go’s overseas business
Expanding on experience at home
Baidu says that since late last year, its Apollo Go robotaxi unit has reached per-vehicle profitability in Wuhan, where the company has operated over 1,000 vehicles in its largest deployment in China.
That means ridership is enough to offset a Wuhan taxi fare that’s 30% cheaper than in Beijing or Shanghai, and far below prices in the U.S. or Europe. Besides developing autonomous driving systems, Baidu has also produced electrically-powered robotaxi vehicles — without relying on a third-party manufacturer — that are 50% cheaper.
“Once we can generate profit for every single car in a second-tier city [like Wuhan] in mainland China, we can generate profits in lots of cities across the world,” Halton Niu, general manager for Apollo Go’s overseas business, told CNBC.
“Scale matters,” he said. “If you only deploy, for example, 100 to 200 cars in a single city, if you only cover a small area of the city, you can never become profitable.”
The three companies have not disclosed plans to break even on their robotaxis.
Baidu Apollo Go’s Niu did not rule out an expansion into the U.S. But for now, the robotaxi operator plans to enter Europe with trials in parts of Switzerland next month, following their expansion in the Middle East this year.
Abu Dhabi last week gave Apollo Go a permit to charge fares to the public for fully driverless robotaxi rides, which are operated locally under the AutoGo brand, eight months after local trials began in parts of the city.
But Chinese startup WeRide said it received a similar permit on Oct. 31 to charge fares for its fully driverless robotaxi rides in Abu Dhabi, and claimed that removing human staff from the cars would allow it to make a profit on each vehicle.
That puts Pony.ai furthest from profitability among the three major Chinese robotaxi operators. Its CFO Leo Haojun Wang told The Wall Street Journal in mid-September that the company aimed to make a profit on each car by the end of this year or early next year.
Pony.ai and WeRide are set to release quarterly earnings early next week.
“Currently, companies like Waymo, Baidu, WeRide and Pony.ai are leading in terms of fleet size, which positions them advantageously in the race for profitability,” said Yuqian Ding, head of China Autos Research at HSBC.
Scale and safety
Fleet size is becoming a competitive marker. Pony.ai reportedly said it plans to release 1,000 robotaxis in the Middle East by 2028, while WeRide aims to operate a fleet of 1,000 robotaxis in the region by the end of next year.
Niu said Apollo Go operates around 100 robotaxis in Abu Dhabi and Dubai, and plans to double its vehicle fleet in the next few months.
“Apollo Go has had a head start with significantly more test rides than the other two,” Kai Wang, Asia equity market strategist at Morningstar, said in an email. “The more testing and data you can collect from trips taken, the more likely the AI sensors are able to recognize the objects on the road, which means better safety as well.”
He cautioned that despite some initial progress, the robotaxi race remains uncertain as “no one has truly had mass adoption for their vehicles.”
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Coverage remains limited. Even in China, robotaxis are only allowed to operate in selected zones, though Pony.ai recently became the first to win regulatory approval to operate its robotaxis across all of Shenzhen, dubbed China’s Silicon Valley. In Beijing, self-driving taxis are mostly limited to a suburb called Yizhuang.
Anecdotally, CNBC tests have found Pony.ai offered a smoother ride than Apollo Go, which was prone to hard braking.
As for safety — which is critical for regulatory approval — none of the six operators has reported fatalities or major injuries caused by the robotaxis so far. But Apollo Go and Waymo have begun advertising low airbag deployment rates.
Even if that’s not enough to convince regulators worldwide, Beijing is expected to ramp up support at home.
HSBC’s Ding predicts the number of robotaxis on China’s roads could multiply from a few thousand to tens of thousands between the end of this year and 2026, a shift that would give operators more proof that their model works.