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Happy New Year and welcome to the tenth episode of Beyond the Screen, a podcast that aims to spark discussion about cutting-edge and innovative technologies in the advanced visualization space. In the past, we’ve discussed the pressure radiologists face as the number of unprocessed medical images keep skyrocketing. In this week’s episode, we meet up with 2019 AuntMinnie winners, Tom Valent of Aidoc and Mitul Shah from CureMetrix to discuss how their companies are trying to alleviate that pressure with AI.
Our first guest is Tom Valent, VP of Business Development at Aidoc – AuntMinnie’s 2019 Best New Radiology Software. This leading AI company has developed an “always on” solution that automatically analyzes every relevant exam in the background without the technologist or radiologist needing to do anything. Once a critical finding is detected in a study, it will automatically flag the case, enabling the radiologist to read it earlier and to expedite patient care with higher quality.
CureMetrix won AuntMinnie’s Best New Radiology Vendor of 2019. A company whose algorithms represent true AI-based CAD and provide radiologists with a 30% faster image read to improve workflow efficiency and patient care. Mitul Shah, VP of Business Development and Product Management discusses how they are reducing false positives by 69% over traditional CAD and helping radiologists improve their early cancer detection rates by 27%.
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Both Aidoc and CureMetrix have algorithms on the Eureka Clinical AI Exchange. To use Eureka Clinical AI in a clinical setting, please set up a meeting with one of our representatives. They will assist you in discovering indexed algorithms relevant to your needs on the Eureka Clinical AI exchange, and even help you test these machines using your own anonymized data.
Have a question about today’s episode or want to join the discussion about cutting-edge and innovative technologies in the advanced visualization space? Email us at email@example.com.
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