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Medical imaging is a broad condition that embrace several distinct technologies . After working on AI - powered tools to raise tenner - rays and mammography , French startupGleamernow aim to undertake magnetic resonance imaging ( MRI ) .

Instead of starting from scrawl , Gleamer acquired a inauguration that has already been working on AI - powered MRI analysis , Caerus Medical , and is blend withPixyl .

Gleamer is part of the second wave of startups trying to improve aesculapian mental imagery using artificial intelligence . Several tech founders create startups around this topic in 2014 or 2015 . While most of them went nowhere , there has been some integration in the space . For instance , Zebra Medical Vision and Arterys were both acquired byNanoxandTempus , respectively .

launch in 2017 , Gleamer has been work up an AI assistant for radiologists , a form of co-pilot for medical mental imagery . With Gleamer , radiologist can theoretically improve the diagnostic accuracy when interpreting medical images .

The inauguration has already persuaded 2,000 innovation across 45 nation to expend its software solvent . Overall , Gleamer has processed 35 million examinations . The company has received CE and FDA credentials for its bone hurt interpretation mathematical product . In Europe , it also propose products specifically concentrate on chest X - rays , orthopedic , and bone old age measurements with CE certification .

“ Unfortunately , the one - sizing - fits - all attack to radioscopy does n’t act upon , ” Gleamer co - father and CEO Christian Allouche severalise TechCrunch . “ It ’s very complicated to have a big manakin that overcompensate all medical imagination and delivers the layer of performance expected by doctors . ”

That ’s why the company created small inner team focused on mammography and CT CAT scan . “ Three weeks ago we released our mammography product , which we have been exercise on for 18 months , ” Allouche say . It ’s based on a proprietary AI model that has been train on 1.5 million mammographies .

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“ We have a partnership with Jean Zay , the French government ’s GPU clustering , ” Allouche say . The party is also working on CT scans for cancers .

But what about MRI ? “ MRI is a unlike technological blank space , ” Allouche say . “ You have a lot of tasks in MRI . It ’s not just detection ; you ’ve got partitioning , you ’ve have catching , you ’ve flummox personation , categorization , multi - sequence imaging . ”

That ’s why Gleamer is acquire a small startup ( Caerus Medical ) and merging with a larger one ( Pixyl ) to move faster . These two company have been working in this space for several year . Gleamer is n’t reveal the terms of the mickle .

“ These two company will become our two MRI platforms , with the clean ambitiousness of cover all role case over the next two to three years , ” Allouche said .

Preventive medical imaging

While Gleamer ’s models show promising results , they are not yet perfect . For example , with the company ’s young mammography good example , the startup claims it can discover four out of five Crab . In equivalence , a human radiologist without AI assistance typically distinguish cancer in three out of five cases .

However , the productiveness gains from a peter like Gleamer could radically exchange medical imaging . A omit tumor is likely to appear in a follow - up examination a few calendar month later .

“ In the not - too - distant time to come , I think we ’ll all be getting routine whole - body MRIs paid for by our insurance ship’s company — since they ’re not irradiating , ” Allouche say .

However , in some cities , there are already too few radiologists to meet the need for reactive imagination . If the diligence shifts toward preventative imagination , AI tools will become indispensable .

Gleamer ’s chief operating officer thinks AI could become an “ orchestrating and triaging ” tool . Most aesculapian imaging examination are conducted as a way of life to rule out some diagnoses . “ So , there ’s a literal penury to automate all this with a very unanimous AI model that has a much higher level of sensitivity than a human , ” Allouche said .