why aren't all 29 resolved? a statement only gets an assessment when the public
record can support or contradict it. opinions and what-ifs never can, and 2 checkable
ones are still open, waiting for their date. predictions held up or didn't;
assertions are supported or contradicted. on every card:
▮▮▮▮▮ certainty ·
▮▮▮▮▮ debate potential. speakers are clickable
Prediction Open · timeframe Mar 2027
Ezra expects to offer $500, 10-minute full-body MRIs within three years
“And we're currently at the 13 50 scan, and within two to three years, With a lot more AI we think we're gonna get to a 500 dollar 10 minute full body MRI.”
Insight
Radiologists won't be replaced by AI, but by radiologists using AI
“I think radiologists will not be replaced by AI. They will be replaced by radiologists using AI.”
Prediction Open · timeframe Mar 2034
AI will increase demand for human radiologists over the next decade
“If I am to fast forward five to 10 years, We will need more radiologists than we have now because we will need more medical imaging than we do now.”
Insight
AI engineering skills do not easily transfer across narrow domains
“I have learned the hard way that it's not that transferable. You actually need, if you're trying to push the state of the art, you need people who have proven experience in the very, very specific narrow scope of problem that you're trying to solve.”
Opinion
Emi Gal: Starting a full-body MRI startup now would be very difficult
“Anyone who would want to start a full body MRI company right now would find it very difficult because there's like there are a few companies that are doing a great job, and we've solved most problems that there are in, in this space, and we're growing very fas…”
Disclosure
Ezra's AI erases noise to enable faster, reduced-repeat MRI scans
“So what we do at Ezra, or one of the things we do is we are able to do the scan fewer times, which results in a noisier image, but we have trained AIs to essentially learn what noise looks like in an MRI machine and just, like, erase the noise.”
Assertion Contradicted
Emi Gal: No existing MRI datasets combine healthy and diseased longitudinal data
“There are no data sets out there with a blend of healthy people and diseased people with longitudinal measures over time”
Assertion Not checkable as stated
Gal: AI already outperforms humans at detecting cancer in medical imaging
“AI can already, in many cases, do a better job at finding potential cancer in Medical imaging.”
Assertion Not checkable as stated
Ezra's AI cuts physician report creation time from 90 to 5 minutes
“Our doctors, we have a team of primary care physicians internally who used to take the radiology report, spend 90 minutes per report to generate an Ezra report, which is on average about seven pages, to describe to the member what each finding means. We built …”
Insight
Gal: Generative AI in healthcare requires constrained output and doctor review
“We think that's the correct way to apply gen AI type things into healthcare because it's such, it's so, such a kind of critical domain.”
Insight
Academic AI researchers rarely possess the skills to ship commercial products
“It's very hard to find an academic who is able to ship a product”
Insight
Gal: Unique proprietary data is the only real edge in healthcare AI
“In healthcare especially, the limiting factor in building AIs is data. If you don't have access to a really unique proprietary type of data, you don't have edge.”
Assertion Supported
Emi Gal: Cancer cannot currently be detected early in most organs
“Early detection is really what makes the difference. But the problem is you can't find cancer early in most organs in the body.”
Assertion Not checkable as stated
Gal: MRI is expensive because scanning takes a long time
“Whilst MRI is great, the problem is it's expensive as a modality because it's really slow”
Disclosure
Ezra took four years after launch to reach product-market fit
“It was not until last year, so four years in, that we saw Escape Velocity and started getting, like I felt like Promarket Fit was pulling us into great growth as opposed to trying to extract growth and trying to kind of convince people to do this scan that we …”
Assertion Not checkable as stated
Gal: Ezra offers the fastest full body MRI scan in the world
“We have a cancer focused scan, which is a 30 minute fastest full body MRI in the world.”
Prediction Not checkable as stated
Emi Gal: Most MRI innovation over next decade will be software-driven
“So in an MRI particularly over the next decade, most innovation will come from software.”
Insight
Emi Gal: Healthcare startups must add six to nine months for regulatory work
“And so you need to add in six, nine months of regulatory work to any endeavor because it's going to take time to get that done.”
Insight
Emi Gal: Physical health drives mental health, which drives startup success
“Mental health is upstream of startup success, and physical health is upstream of mental health.”
Assertion Supported
Emi Gal: Ezra raised $21M Series B co-led by FirstMark and Healthier Capital
“We announced last week that we raised twenty-one million co-led by Rick at FirstMark and Amir Dan Rubin from Healthier Capital.”
Assertion Supported
Emi Gal: Ezra's investors include Allianz, Schwarzman family, and Lord David Pryor
“We added Allianz Insurance Group, or the Allianz Life Ventures Fund, which is part of the Allianz Insurance Group. We added the Schwarzman family of Blackstone, and the former head of the NHS in the UK Lord David Pryor.”
Assertion Supported
Ezra recruited 22 top scientific advisors before launching its AI scanner
“We brought on board 22 scientific advisors Before we even launched, and these were heads of body MRI at Memorial Sloan Kettering Cancer Center Siddhartha Mukherjee, a Pulitzer Prize winner oncologist at Columbia, the chair of oncology at Columbia some other im…”
Assertion Supported
Emi Gal: Y Combinator's Request for Startups included faster, accurate MRIs
“So YC this year, that was every year they post these kind of 20 ideas that they want people to startup founders to invest in, to spend time on. And one of the ideas this year was MRI and making MRI faster. Making MRI more accurate making, basically doing all o…”
Disclosure
Ezra buys MRI time from existing facilities rather than owning centers
“We don't own and operate facilities, we partner with existing facilities, buy MRI scanning time from them, and run our own protocols, AIs, software on their magnets.”
Assertion Not checkable as stated
Emi Gal: Ezra has scanned thousands of people, yielding millions of MRI slices
“We have thousands of people that we've scanned which results in millions of MRI slices that we can use to train.”
Disclosure
Ezra gathered 1,000 initial full-body MRI scans using non-AI protocols
“When we launched our first full body scan, it was about 75 minutes. It was not yet using any AI, and we were just selling it as a high quality full body protocol without AI in order to build the data set to be able to train the eyes. And then we got our first …”
Disclosure
Gal: Ezra will never deliver scan reports without human doctor review
“So I don't see a future in which we're delivering a report to a member, Ezra member, without that report having been passed through a human.”
Disclosure
Emi Gal pitched 100 VCs during Ezra's fundraising round
“And for the Ezra raise, I had a hundred meetings. I pitched a hundred VCs, and feel incredibly fortunate to have landed My ideal profile”
Prediction Held up
Ezra targets expanding to 20 cities and 60 facilities by end of 2024
“We are planning to be in 20 cities by the end of this year. We're in 22 facilities in the existing cities right now, and by the end of this year we'll be in about 60 facilities.”