The cost of cancer treatment in the first year


Thanks to artificial intelligence, doctors are more able to detect early-stage cancer from chest X-rays.

Success rate of evaluation of the modalities


A physician with an AI assistant has up to a 25% higher success rate in determining a finding than a physician who does not use AI.

A connection that benefits everyone

Tools with implemented artificial intelligence can deliver the necessary confidence and data to correctly evaluate images with up to 99.5% accuracy in assessing the correct finding.

Studies show that up to 35% of radiologists disagree on a diagnosis during a consultation. For the most complex cases, doctors are unsure of their assessment in up to 25% of cases after a few days.

With AI trained on tens of thousands of images from around the world, every doctor is given a tool that can advise them in any situation. Thanks to its training, AI can convey information about possible findings from given modalities in any circumstance, at any time. This will improve the quality of healthcare provided, but most importantly, it can prevent the spread of possible diseases.

Speeds up the work process

Artificial intelligence may replace second reading by a doctor in the future. For now, however, it can speed up the process and give the doctor a tool to help them evaluate large numbers of images. Patients can thus be treated faster and more efficiently.

Helps determine the correct diagnosis

AI can help doctors correctly identify both positive and negative findings and false positives and negatives. This aids in correct diagnosis and saves patients' and doctors' time and the healthcare system's finances.

Easy to implement

AI is commonly implemented into existing systems in hospitals.


We are open to collaboration with doctors, hospitals, and the health system. Our goal is to bring much-needed data processing to healthcare. Interested in bringing AI to healthcare?

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