Startups
1992
51-200 Employees
PIXEL TECHNOLOGYOur sector-leading medical technology company, specializing in radiology, is committed to research and innovation through successful collaboration with universities, pharma partners, and other organizations. We're looking for R&D partners for complex and unobvious projects that require a combination of analysis for different modalities. We’re an experienced R&D team that delivered over 6 projects with a total of 15 million EURO of funding:
AI for Mammography: Collaborating with the Mother and Child Center Institute on a 3M EUR project, we developed AI to detect cancer based on mammography images, emphasizing early detection and care.
AI for Neurology and Multiple Sclerosis: Working with Lodz Medical University on a 3M EUR initiative, we built a substantial brain dataset with over 5000 MRIs and developed an MS detection and track detection tool targeting MS lesions.
AI for Pulmonology: Partnering with Szczecin Medical University and Arkonska Hospital on a 2M EUR project, we developed a unique tool for COVID analysis to enhance pulmonary care. One effect of the project is the publication look here
AI for Radiology (21 Pathologies Detection): With a 5M EUR investment, we developed a unique tool that is used commercially in tens of hospitals, our AI solutions focus on detecting over 21 pathologies.
AI for Advanced 3D Imaging in Radiology: Investing 2M EUR, we advanced 3D imaging capabilities in radiological practice.
Our readiness to engage with various domains signifies our relentless pursuit of innovation and excellence. Leveraging Big Data, AI, and other state-of-the-art technologies, we offer Class IIB-certified medical solutions trusted by over 250 global clients.
Our interdisciplinary teams create ready-to-implement solutions, emphasizing our adherence to stringent quality benchmarks backed by ISO 13485:2016, CE, and ISO 9001:2015 certifications. These endeavors, alongside our AI-driven specializations in MRI/CT scans, position us at the forefront of medical industry innovation. For further information or presentations, reach out to team@pixel.com.pl or via http://www.allerad.com/en/contact/
We’re looking for R&D partners for complex and unobvious projects that requires a combination of analysis for different modalities.
AI for Mammography: Collaborating with the Mother and Child Center Institute on a 3M EUR project, we developed AI to detect cancer based on mammography images, emphasizing early detection and care.
AI for Neurology and Multiple Sclerosis: Working with Lodz Medical University on a 3M EUR initiative, we built a substantial brain dataset with over 5000 MRIs and developed an MS detection and track detection tool targeting MS lesions.
AI for Pulmonology: Partnering with Szczecin Medical University and Arkonska Hospital on a 2M EUR project, we developed a unique tool for COVID analysis to enhance pulmonary care. One effect of the project is the publication look here
AI for Radiology (21 Pathologies Detection): With a 5M EUR investment, we developed a unique tool that is used commercially in tens of hospitals, our AI solutions focus on detecting over 21 pathologies.
AI for Advanced 3D Imaging in Radiology: Investing 2M EUR, we advanced 3D imaging capabilities in radiological practice.
Our readiness to engage with various domains signifies our relentless pursuit of innovation and excellence. Leveraging Big Data, AI, and other state-of-the-art technologies, we offer Class IIB-certified medical solutions trusted by over 250 global clients.
Our interdisciplinary teams create ready-to-implement solutions, emphasizing our adherence to stringent quality benchmarks backed by ISO 13485:2016, CE, and ISO 9001:2015 certifications. These endeavors, alongside our AI-driven specializations in MRI/CT scans, position us at the forefront of medical industry innovation. For further information or presentations, reach out to team@pixel.com.pl or via http://www.allerad.com/en/contact/
We’re looking for R&D partners for complex and unobvious projects that requires a combination of analysis for different modalities.
Address
Piękna 1, 93-558 Łódź, Poland
Commercial Register
NIP:PL 727-10-10-965 REGON:471043763
0000625376
Details
Customer Problem
- making accurate and fast diagnosis by doctors
- reducing costs and improving efficiency of medical facilitiesBusiness Model
Main: B2A, B2G; Others: B2C, B2BTechnology Description
Artificial Intelligence, Big Data, Automation and Robotics, VNA system, Information systems for radiology e.g. PACS, RIS, DICOM viewer.Market Description
Our target audience is mainly doctors working in both public and private hospitals as well as technicians, ''user'' hospital staff and even patients notified via our systems. Some of our products are also available for individual doctors working in their private practices.USP
- The company operates according to the highest quality standards, as evidenced by the following certifications: quality management ISO-9001 and ISO 13485:2016 for a Class II b medical device, in accordance with 93/42/EEC and DICOM, WADO, HL7 or FHIR standards.
- We create innovative systems to support doctors in diagnostic and therapeutic processes.
Recently, Pixel Technology:
- has carried out large regional deployments, the largest of which in Turkey supports 17,000 surveys per day (it is the only Polish vendor supporting such a such a large number of surveys),
- bases its solutions on a modern three-tier architecture, using j2ee, spring,
- produces a safe solution trusted by more than 200 healthcare facilities,
- creates artificial intelligence solutions to support doctors in the diagnostic process, as well as cutting-edge technologies for streaming of medical images, allowing any examination to be uploade within 10 seconds,
- is the only Polish company developing a proprietary VNA solution (which collects datafrom ECG, cardiac monitors, spirometers and more than 10 other types of devices).Videos
Life Science Landscape
Med-Tech
Digital Health