Medical Imaging is a big term that includes some distinct technology. After working with the AI to the struggle to increase X-ray and mammographies, the french start Gleamer Now intended to solve magnetic resonance imaging (MRI).
Instead of beginning, gleamer has earned two startups that have been used in MRI’s analysis of Ai: Picxyl and Caeus MedicineSee rankings-.
Gleamer is part of the second startup that is trying to improve the medical imaging using artificial intelligence. Some technological founders make up on this topic in 2014 or 2015. When they generally do not exist, there are some consignment in the place. For example, zebra medical vision and arteries are both likely to be obtained by Nanox and Tempusrespectively.
Founded in 2017, the gleamer has built an AI assistant for radiologis, type of copilots for medical imaging. With gleamer, radiologists can increase diagnose accuracy when interpreting medical pictures.
Startup has persuaded 2,000 institutions throughout 45 countries using the software solution. Overall, gleamer has incaped 35 million exams. The company has received CE and FDA certification for bone interpretation products. In Europe, it also offers products that focus on X-rays, orthopedic age measurement and bone certification.
“Unfortunately, the approach that suits the radiology does not work,” Gleamer Co-founder and the Allouche Christian CEO tells techcrroch. “It’s very good to have a lot of models that cover all medical imaging and gives you a level of performance expected by the doctor.”
That’s why the company makes small internal teams focus on the mammography and scan ct. “Three weeks ago we released the mammographic product, we do for 18 months,” Allouche said. This is based on ai model AI property that has been trained at 1.5 million mammography.
“We have partnership with Jean Zay, French GPU cluster,” Allouche said. This company is also used in CT scan for cancer.
But what’s with MRI? “MRI is a different technology space,” Allouche said. “You have a lot of duty in MRI. Not only detection, you’ve got a segment, you’ve got the detection, you earn a characterification, classification, multi-order imaging.”
That’s why gleamer buy two times a small startup that has been used in this place for many years faster. Gleamer does not inform the term deals.
“The two companies will be two platforms, with clear ambitions of covering all cases of use for two to three years,” Allouche said.
Imaging medis prevent
When the gleamer model reflects the results that are noticeable, but it is not perfect. For example, with the new MAMMOgraphy model company, the start claim can detect four of the five cancer. In comparison, human radiologists without assistance they usually identify cancer in three cases.
However, the results of productivity of the tool like gleamers can change the radical medical imaging. The missed tumor is likely to appear in the exam follow some months later.
“In the future that is not too, I will get all the Mris’s routines paid by our insurance company – because they are not imitation,” Allouche said.
However, in some cities, have some radiologists to meet the requested requests. If the industry go to a prevention tool, AI tools will be trivial.
CEO gleamer Mikiri AI can be a tool “orceration and trriaging”. Most of the most important imaging exams are performed as a means of applying a number of diagnosis. “So, there is real to remark all this with a solid AI model that solid higher sensitivity than humans,” allouche said.
