This episode dives deep into how synthetic medical imaging is revolutionizing the development of AI in healthcare. Rayan Sadri, founder and CEO of Carez AI, explains how his team uses diffusion models and GANs to create fully anonymized, regulator-friendly datasets that dramatically accelerate the development of diagnostic tools - even for rare conditions and underserved populations.

Discover how synthetic data eliminates the bottlenecks of traditional medical datasets by solving challenges around privacy, annotation costs, data scarcity, and demographic bias. From MRI and CT scans to X-rays, ultrasound, and RF signal data, learn how this technology enables faster, safer, and more inclusive AI model training.

Whether you're building healthcare AI products, optimizing clinical research pipelines, or scaling life sciences innovation, this conversation uncovers practical, scalable strategies for deploying high-quality synthetic datasets that meet clinical standards and regulatory requirements.

In this episode, we discuss:

• What is synthetic imaging and how it differs from traditional datasets
• The four-step process of creating medically accurate synthetic images
• Balancing visual quality, anatomical accuracy, and data diversity
• Addressing data bottlenecks in medical AI development
• FDA perspectives on synthetic data and regulatory compliance
• Applications of synthetic data in reducing contrast media risks
• Conditional generation for underrepresented patient demographics
• Ethical concerns: privacy, bias, traceability, and clinical relevance
• How synthetic data empowers faster and more inclusive AI breakthroughs
• The future of AI and synthetic imaging in global healthcare

This episode is tailored for Medical AI startups and healthtech founders, clinical researchers and radiologists, AI engineers and data scientists in life sciences, digital health policy makers and FDA collaborators, academic researchers exploring synthetic data applications and Investors and stakeholders in health innovation

About the Podcast:

AI for Pharma Growth is a podcast focused on exploring how artificial intelligence can revolutionise healthcare by addressing disparities and creating equitable systems. Join us as we unpack groundbreaking technologies, real-world applications, and expert insights to inspire a healthier, more equitable future.

This show brings together leading experts and changemakers to demystify AI and show how it’s being used to transform healthcare. Whether you're in the medical field, technology sector, or just curious about AI’s role in social good, this podcast offers valuable insights.

AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr. Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business. This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget.

As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses.

This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business results. Those who share their stories and expertise show how AI can be applied to sales, marketing, production, social media, psychology, customer insights and so much more.

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