Radiology AI Software Provider Gleamer is expanding in NMR with two small acquisitions

Medical images are a wide term that covers several different technologies. After working on AI -powered tools to improve X -rays and mammographs, the French startup gloss now aims to deal with magnetic resonance images (MRI).

Instead of starting from scratch, Gleamer has acquired two startup companies that have already worked on AI-fed MRI analysis: Pixyl and Caerus Medical.

Gleamer is part of the second wave of startup companies that are trying to improve medical images using artificial intelligence. Several technological founders created startups around this topic in 2014 or 2015. Until most of them went anywhere, there was some consolidation in the space. For example, Zebra Medical Vision and Artery were acquired by Nanox and Tempus respectively.

Founded in 2017, Gleamer builds AI assistant for radiologists, something like a copywriting for medical images. With Glamer, radiologists can theoretically improve diagnostic accuracy when interpreting medical images.

The launch has already convinced 2000 institutions in 45 countries to use their software solution. Overall, Gleamer has handled 35 million exams. The company has received CE and FDA certificates for its product to interpret bone trauma. In Europe, it also offers products specifically focused on chest X -rays, orthopedic and bone age measurements with CE certification.

« Unfortunately, the one -size radiological approach does not work, » Gleamer Christian Allouche’s co -founder and CEO told TechCrunch. « It is very difficult to have a large model that covers all the medical images and provides the level of effectiveness expected by doctors. »

That is why the company has created small internal teams focused on mammographs and CT. « Three weeks ago, we released our mammographic product, which we have been working on for 18 months, » Allouche said. It is based on an AI owner who is trained in 1.5 million mammographs.

« We have a partnership with Jean Zay, the French Graphics CPU government, » Allouche said. The company also works on CT scanning for cancer.

But what about MRI? « MRI is a different technological space, » Aluch said. « You have many tasks in MRI. This is not just detection, you have segmentation, you have detection, you have a characteristic, classification, images with a lot of consistency. « 

That’s why Gleamer has been buying two small startups that have been working on this space for several years to move faster. Gleamer does not disclose the terms of the transactions.

« These two companies will become our two NMR platforms, with a clear ambition to cover all cases of use in the next two to three years, » Allouche said.

Preventive medical images

While Gleamer models show promising results, they are not yet perfect. For example, with the new mammography model of the company, the launch claims to be able to detect four of five cancers. For comparison, a human radiologist without AI help usually identifies cancer in three out of five cases.

However, the profit of productivity from an instrument like Gleamer can radically change medical images. A missed tumor is likely to appear on a subsequent examination a few months later.

« In the not too distant future, I think we will all receive routine MRI for the whole body paid by our insurance companies-as they are not exposed, » Allouche said.

However, in some cities, there are already too few radiologists to respond to the search for reactive images. If the industry focuses on preventative images, AI tools will become irreplaceable.

Gleamer’s CEO believes that AI can become an orchestrating and triag tool. Most medical examinations are conducted as a way to exclude some diagnoses. « So, there is a real need to automate all this with a very solid AI model that has a much higher level of sensitivity than a person, » Allouche said.