Originally, CellmatiQ developed certified medical AI for image analytics. As designed, the platform can be equally applied to other problems, like recycling: PET Flash
CellmatiQ is honored and proud to be featured in the list of the most promising German AI startups in the category “Healthcare” for the 4th time.
CellmatiQ is honored to be included in this first ever overview of ca. 500 European AI Startups.
DataRoot Labs has recognized CellmatiQ as one of the global top 170 innovators in their 2020 “AI in Healthcare Landscape“.
In the 118. issue of the Alldus “AI in Action” podcast, CellmatiQ got the opportunity to talk about our activities around AI in dental image analysis.
CellmatiQ has been featured as one of three examples for collaboration technologies with AI in the “Network for Innovative Corporate Governance” (NICG at the University St. Gallen) booklet on “Future Governance Management – 2020/1” (page 46).
In its regular newsletter, ZWP-Online describes the novel AI product developed by CellmatiQ and distributed Germany-wide by Dampsoft.
CellmatiQ is honored and proud to be again featured in the list of the most promising German AI startups in the category “Health & Pharma”.
CellmatiQ has been ranked as #103 of the global AI-in-healthcare startups list 2020, together with only four other German companies.
CellmatiQ and its AI-based automated Cephalometric Analysis were featured in the December 2019 issue (#6) of the Digital Dental Magazin.
The formal paper by our university partners, which analyzes a subset of the CellmatiQ software and which has won the “Arnold Biber Award” in September 2019, has been published by SpringerLINK.
Quintessence Publishing was so kind to publish a newsletter about the “DentaliQ ortho” production start.
We appreciate the interview by DisruptorDaily, which nicely features CellmatiQ.
Proud to be amongst the initial 52 German companies to commit to the “AI Made in Germany” seal of the German AI Association with the goal to build human-centered and human-beneficial AI.
Jaro Bláha has been interviewed by the NZZ about the challenges of meaningful and safe AI diagnostics in healthcare: NZZ Article (08-Aug-2018)