Medical AI and Your Privacy: What Patients Should Know About Imaging Data Risks

If you’ve ever had an X‑ray, CT scan, or MRI, you probably didn’t think much about where the images go after your doctor reads them. Like most medical records, those images are stored in your provider’s system and protected by laws such as HIPAA. But as hospitals and clinics begin to use artificial intelligence to help interpret scans, a new set of privacy concerns is emerging—one that many patients aren’t aware of.

Recent research presented by the Radiological Society of North America (RSNA) highlights some of these risks, including the possibility that your medical images could be used to train AI models without your explicit consent, or even that AI-generated “deepfake” X‑rays could be created from real patient data. This article explains what’s happening, why it matters, and what you can do to protect your privacy.

What’s Happening

AI tools are increasingly used in radiology to speed up diagnosis, flag suspicious findings, and reduce human error. This is generally good for patient care. But the same technology introduces new vulnerabilities. In a 2026 RSNA article on privacy risks, researchers pointed out that medical imaging data is often shared across institutions for AI training, sometimes without patients being told or given a choice.

A more striking example comes from a separate RSNA study published in March 2026, where researchers demonstrated that deepfake X‑rays—realistic but fake images generated by AI—could fool both radiologists and AI diagnostic tools. These fake images were created by manipulating real patient scans, showing that if an attacker gains access to your imaging data, they could produce convincing forgeries. The study is a reminder that the security of medical images matters not just for your privacy but also for the trustworthiness of the diagnostic process itself.

Why It Matters

For patients, these risks are not hypothetical. Your medical images contain highly personal information—not just anatomical details, but potentially identifying features like your face (in the case of head scans) or unique bone structures. If that data is used to train a commercial AI model, you generally have no control over where the final product ends up or how it is used.

There’s also the risk of model inversion attacks, where an attacker uses an AI model to reconstruct individual patient images that were part of its training data. HIPAA may not fully cover this scenario because it was written before modern machine learning became widespread. Depending on your provider’s data-sharing agreements, your images could be processed by third‑party AI vendors whose privacy practices you have no way of vetting.

Even without malicious actors, there is the simple fact of data aggregation. The more AI systems are trained on patient data, the more valuable and vulnerable those datasets become. A breach of a hospital’s imaging database might expose far more than just your name and date of birth—it could expose a detailed map of your body’s internal structures.

What You Can Do

You have more rights than you might think. Here are practical steps:

  1. Ask your provider about their AI policy. Before an imaging exam, you can ask: “Will my images be used to train AI? Is my data shared with any third party, and can I opt out?” Many hospitals now have patient privacy officers who can answer these questions.

  2. Read the consent forms carefully. Some imaging consent forms include a clause allowing your data to be used for research or commercial purposes. If you’re not comfortable, ask if you can sign a version that limits use to your own care.

  3. Check your health system’s notice of privacy practices. Under HIPAA, providers must give you a document explaining how your data may be used. Look for language about “de‑identified data,” “research,” or “machine learning.” If the wording is vague, ask for clarification.

  4. Inquire about data retention and deletion. After your images are no longer needed for your care, can they be deleted upon request? Not all systems allow this, but it’s worth asking.

  5. Report concerns. If you suspect your images have been used in ways you didn’t agree to, you can file a complaint with the U.S. Department of Health and Human Services’ Office for Civil Rights.

Looking Ahead

Regulation is still catching up. The RSNA and other medical societies are calling for clearer rules about consent and transparency in medical AI. In the meantime, staying informed is your best defense. The benefits of AI in radiology are real, but they should not come at the cost of your privacy.

Sources

  • Radiological Society of North America. “Medical Imaging AI Opens a Pandora’s Box of Privacy-Related Risks.” May 20, 2026.
  • Radiological Society of North America. “Deepfake X-Rays Fool Radiologists and AI.” March 24, 2026.