We gather the largest real-world imaging datasets to solve complex biological problems.
RSQ AI’s mission is to save and improve lives, especially in triage scenarios found in emergency departments. To achieve this goal, RSQ uses state-of-the-art technology based on evidence-based medicine. We create clinically effective and efficient medical solutions, based on AI.
RSQ Al detects minor alterations in images, pathology requiring treatment, and conditions likely to affect long-term well-being.
What is easily overlooked by the human eye is read by RSQ Al in seconds. Al-powered diagnostics combined with physician merit achieve previously impossible clinical accuracy.
RSQ Al shortens intracranial hemorrhage detection from hours to seconds. Using advanced imaging analysis and machine learning techniques, our algorithm is able to classify hemorrhages by clinical presentation. We make radiologists faster and more powerful, through Al.
RSQ AI seamlessly integrates with your existing PACS, and comes with a built in PACS if you do not currently use one. All data is stored on your device or in a secure cloud meeting the highest healthcare standards with GDPR compliance. Only you and your authorised personnel will have access to patients’ data.
RSQ AI case example
The patient enters the hospital
The patient is brought to the emergency department and then is referred for a CT scan.
Medical imaging taken
A CT scan is acquired of the patient.
RSQ AI automatically pulls imaging from PACS
RSQ AI queries PACS for any DICOM images present.
AI looks for pathologies
Thanks to our machine learning algorithms, RSQ AI automatically scans incoming images and scans for pathologies, e.g. hemorrhages.
A medical report is generated
A report is generated and sent via e-mail to the physician of choice, providing specific information on the type, location, and volume of the hemorrhage.
Director of Hipolit Cegielski Hospital, Poznań, Poland
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The data controller of your personal data is RSQ AI sp. z o.o. with its registered seat in Poznań. Your personal data will be processed on the basis of Article 6(1) letter b) and