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Products
​Sycai Medical
Our first product SYCAI MEDICAL is a medical device software, based on artificial intelligence, that assists radiologists in the
detection and characterization of radiological findings in the pancreas on CT scans of adult patients. Radiological findings as for example focal lesions, which are benign lesions that may evolve to pancreatic cancer in the future. The sooner radiologists can detect and characterize those lesions, the better they could anticipate cancer and start treating patients.
Pancreatic cancer is the 4th cause of death by cancer in Europe with an average survival time from diagnosis of less than 5 months and currently without an efficient method for early diagnosis. Finding the precursor lesions when they are still benign could be the difference between life and death
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In several clinical investigations SYCAI has proven an accuracy over the standard of care, a positive benefit/risk ratio and an easy usability approach.
This product is a medical device under an ongoing process of obtaining the CE Mark
AI MedAssist
We contribute to the fight against the pandemic developing AI MedAssist, an AI-based tool, which diagnoses COVID-19 and predicts the evolution of each patient, analysing a chest X-Ray image and 6 factors of the clinical history of the patient.
In less than 20 seconds, AI MedAssist analyses a chest X-Ray image looking for the key optical characteristics of the pathology, combines the information with the clinical history and shows the result together with a prediction of their probable evolution.
Predicting the evolution of each patient, we are able to plan the resources needed for their treatments and the best location for them. All of that in a non-invasive way thanks to medical imaging and AI based algorithms.
Specialy design to be used without internet conexion, which avoids usage problems due to network overloads or multiple simultaneous consults. It also allows us to reach remote areas with lack of resources or specialists and decentralize the activities diagnosing patients out of hospitals.
Prototype not for commercial purposes.
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