Radiology AI… πŸ–₯οΈπŸ©»πŸ‘¨β€πŸ’» Daniel Young 8 May 2024

Radiology AI… πŸ–₯οΈπŸ©»πŸ‘¨β€πŸ’»

An AI-generated image on an X-ray machine


It’s a β€œthing” for the Digital Health Works team.

Over the past few years, we’ve been working with an increasing number of startups and research institutions entering this market. We’ve been helping with FDA, EU, and UK certifications (regulatory); market access planning and strategies 🌍; cultivation of key partnerships πŸ‘©β€πŸŒΎ πŸ”—; and guidance on how to onboard and engage radiologists and physicians 🀝.

Radiology AI is a significant area of focus within our agency. πŸ’ͺ

For background, the radiology AI sector is rapidly expanding, leveraging AI and machine learning to enhance medical imaging analyses πŸ”. Radiology AI imaging models compose a significant percentage of the AI-based products cleared by the FDA and in Europe πŸ‡ͺπŸ‡ΊπŸ‡ΊπŸ‡Έ.

In parallel, a strong ecosystem has evolved, serving as a catalyst to mature the market 🌱.

Companies like deepc, INCEPTO, Sectra, and others provide an integrated marketplace for AI model publishers, giving AI imaging ventures access to distribution channels and a clear path to market πŸ›£οΈ.

Reimbursement has lagged, but there are indications that this too will catch up in 2024 and 2025 πŸ“ˆ.

As an agency, and a team of veteran digital health experts, we are eager to witness and support breakthroughs in radiology AI and empower those working on the next generation of imaging models πŸš€.

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Contact Daniel Young

Daniel is an international expert, with 18 years’ hands-on experience building technology ventures, especially in the health care sector.

Looking for advice from a veteran expert in quality management and regulatory affairs? He’s here to help.

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