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FDA Expectations for Real-World Imaging Data: What Makes RWE Regulatory-Grade

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Real-world evidence (RWE) built from real-world imaging data (RWiD) is becoming a cornerstone of healthcare innovation. Routine PACS (Picture Archiving and Communication System) images such as x-rays, CT, MRI, and ultrasound exams are now recognized as a powerful window into patient outcomes, treatment response, and disease biology. From regulatory decisions and clinical trials to AI development and post-market surveillance, imaging data is rapidly becoming one of the strongest real-world evidence sources. As RWiD applications continue to expand, the FDA is sharpening its expectations around how imaging-derived RWE should be collected, curated, and validated to achieve true regulatory-grade credibility. Imaging Data Matters — For Research, Patient Care, and Regulation Imaging data is crucial to research and advancing patient care because it provides objective, reproducible, and detailed evidence of how diseases evolve and how therapies work in the body. This importance is also recogniz...

Optimizing and Accelerating Medical Device Regulatory Approvals with AI and RWiD

Artificial intelligence (AI) and real-world imaging data (RWiD) are fundamentally reshaping and accelerating regulatory approval for medical devices. By delivering more effective, accurate, and transparent regulatory efficiency to a historically manual, slow-motion approach, AI and RWiD are fundamentally changing the regulatory landscape. AI gives the ability to automate functions, reliability, predict, and approve compliance in near real-time, ultimately shortening approval time and error rate. RWiD integrates all of this rich, real-world data into the regulatory review process, amplifying confidence in the safety and effectiveness of devices, while allowing for expedited access to the marketplace. Ultimately, the administrative functions of device development, or regulatory submissions, are transformed by the convergence of AI and RWiD. Market access, innovation, and patient outcomes are all measurably enhanced through monitoring of device performance, clinical utility, and automatic...