Radpoint Sp. z o.o.

www.radpoint.pl

It's the dawn of AI revolution in radiology and we're at the very heart of it. Diagnostic imaging produces more and more data and the available radiologist workforce is no longer able to keep up with demand to process all that data on time. The time to get a report on your imaging exam is growing. Even worse, we take no advantage of plenty of additional data available in the patient's electronic health record, like lab results, hospital ward reports and genomic data, to name a few. That's why we need to harness the power of AI now. Traditional healthcare software is slow, expensive and monolithic; cloudophobic as we say. It isn't well suited to take advantage of AI, so instead of complaining, we rolled up our sleeves and built a cloud-native platform that with the help of AI aims to reinvent how patients, physicians and radiologists share, manage, process and take advantage of huge amounts of data in the 21st century healthcare.

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It's the dawn of AI revolution in radiology and we're at the very heart of it. Diagnostic imaging produces more and more data and the available radiologist workforce is no longer able to keep up with demand to process all that data on time. The time to get a report on your imaging exam is growing. Even worse, we take no advantage of plenty of additional data available in the patient's electronic health record, like lab results, hospital ward reports and genomic data, to name a few. That's why we need to harness the power of AI now. Traditional healthcare software is slow, expensive and monolithic; cloudophobic as we say. It isn't well suited to take advantage of AI, so instead of complaining, we rolled up our sleeves and built a cloud-native platform that with the help of AI aims to reinvent how patients, physicians and radiologists share, manage, process and take advantage of huge amounts of data in the 21st century healthcare.

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Employees

11-50

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Founded

2014

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