AI’s Gleamer Radiology Provid is expanded to MRI with two small acquisitions
Medical photography is a wide term that includes many distinguished techniques. After working on tools that work with AI materials to enhance X -rays and breasts, the start of French operation gleamer It now aims to treat MRI (MRI).
Instead of starting from zero point, Gleamer has acquired startups already working to analyze MRI that works with artificial intelligence materials: Pixel and Caerus Medical.
Gleamer is part of the second wave of startups that try to improve medical imaging using artificial intelligence. Many technology founders created startups on this topic in 2014 or 2015. While most of them did not go anywhere, there was some monotheism in the area. For example, the medical vision and arteries were obtained both By Nanox and Tempusrespectively.
Gleamer was founded in 2017 and is building Amnesty International Assistant for radiologists, a type of Copilot for medical photography. With Gleamer, radiologists theoretically can improve the accuracy of diagnosis when interpreting medical images.
The startup company has already persuaded 2000 institutions in 45 countries to use software solution. In general, Gleamer processed 35 million tests. The company obtained CE and FDA certificates for the bone shock interpretation product. In Europe, it also provides products that focus particularly on X -rays on the chest, bone and bone age measurements with CE certificate.
“Unfortunately, the approach that fits everyone in the rays does not work,” Christian Alwich, founder and CEO of Gleamer, told Techcrunch. “It is extremely complex to have a large model that covers all medical imaging and provides the expected performance level by doctors.”
For this reason, the company created a small internal team that focuses on biographical areas and cut investigations with CT scans. “Three weeks ago, we released our breast photography product, which we were working on for 18 months,” said Allouche. It depends on the special artificial intelligence model that has been trained on 1.5 million inch.
“We have a partnership with Jean Zai, GPU, French government,” said allouche. The company is also working on CT scan.
But what about MRI? “MRI is a different technological space,” said Allouche. “You have a lot of tasks in MRI. It is not just a discovery, you have a fragment, you have a discovery, you have a description, classification, multi -sequence.”
For this reason Gleamer purchases small startups that work on this space for several years to move faster. Gleamer does not reveal the conditions of deals.
“These two companies will become the MRI platform, with a clear ambition to cover all cases of use over the next two or three years,” Alwich said.
Preventive medical photography
While Gleamer models show promising results, they are not perfect yet. For example, with the company’s new breast mammosis model, it claims to start it can discover four out of five types of cancer. In comparison, a human radiologist without the assistance of Amnesty International usually determines cancer in three out of five cases.
However, productivity gains from a tool like Gleamer can radically change medical photography. The last tumor is likely to appear in the follow -up exam a few months later.
“In the non-distant future, I think we will all get a photography of the MRI for the entire body by our insurance companies-because they do not live,” Alwich said.
However, in some cities, there are already a very few radiologists to meet the demand for interactive photography. If the industry turns towards preventive photography, artificial intelligence tools will become indispensable.
Gleamer CEO believes that artificial intelligence can become a “coordination and condensation” tool. Most medical photography exams are performed as a way to exclude some diagnoses. “Therefore, there is a real need to automate all this through a very solid artificial intelligence model that has a much higher level of human allergy,” said allouche.
