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Interview with Julie Sufana, Chief Marketing Officer of Contextflow

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Manage episode 468710575 series 3514615
Content provided by EIC Scaling Club. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by EIC Scaling Club or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this interview, Julie Sufana, CMO of ContextFlow, shares how the company is revolutionizing radiology AI to improve the early detection of lung cancer, interstitial lung diseases, and COPD. A spinoff from the Medical University of Vienna, ContextFlow uses comprehensive AI to assist radiologists by reducing workload, improving reporting accuracy, and detecting lung cancer up to one year earlier. With €17M in funding, regulatory approval under Europe’s new MDR framework, and a potential reimbursement code in Germany, ContextFlow is leading the way in scaling AI for medical imaging.

  continue reading

35 episodes

Artwork
iconShare
 
Manage episode 468710575 series 3514615
Content provided by EIC Scaling Club. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by EIC Scaling Club or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this interview, Julie Sufana, CMO of ContextFlow, shares how the company is revolutionizing radiology AI to improve the early detection of lung cancer, interstitial lung diseases, and COPD. A spinoff from the Medical University of Vienna, ContextFlow uses comprehensive AI to assist radiologists by reducing workload, improving reporting accuracy, and detecting lung cancer up to one year earlier. With €17M in funding, regulatory approval under Europe’s new MDR framework, and a potential reimbursement code in Germany, ContextFlow is leading the way in scaling AI for medical imaging.

  continue reading

35 episodes

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