How to Protect Your Privacy When AI Analyzes Your Medical Scans

If you’ve had an X-ray, CT scan, or MRI recently, there’s a good chance artificial intelligence helped interpret the images. AI tools can spot fractures, nodules, and abnormalities faster than the human eye alone. But the same data that trains these systems—your medical images—also raises privacy questions that many patients don’t know to ask.

A recent article from the Radiological Society of North America (RSNA) points out that as AI becomes routine in radiology, the privacy risks expand too. Here’s what’s happening and how you can stay in control of your own imaging data.

What happened

The RSNA report, “Medical Imaging AI Opens a Pandora’s Box of Privacy-Related Risks,” outlines how medical images collected for diagnosis can also be used to develop and train AI models. Some hospitals automatically include patient scans in training datasets unless the patient actively opts out. Other institutions share de-identified images with third-party AI vendors or research partners.

The core issue: once an image is used for AI training—even after removing your name and date of birth—it may still be possible to re-identify you through facial features, tattoos, or unique anatomical markers. HIPAA rules protect “individually identifiable health information,” but de-identified data is not always covered the same way. And consent forms often bury the details about secondary uses.

Why it matters to you

Medical imaging is deeply personal. A chest X-ray reveals more than your lungs—it can show your body shape, medical implants, or even a pacemaker serial number. AI systems that learn from these images are trained on vast pools of data. If that data is breached, or if re-identification occurs, the consequences range from insurance discrimination to identity theft.

Beyond the technical risks, there’s a trust issue. Many patients assume their scans stay within the hospital system and are used only for their own care. In reality, images may be sent to cloud-based AI services located in other countries, often with fewer privacy safeguards. Even if the data is “de-identified,” the legal framework around that term is not airtight. For example, HIPAA’s de-identification standards require stripping 18 specific identifiers, but researchers have shown that combining other data points can still single out individuals.

The RSNA article also notes that patient consent for AI training is not universal. Some facilities ask for blanket consent at registration; others never ask at all. If you don’t read the fine print, you may have already given permission.

What you can do about it

You don’t need to become a privacy expert to protect your imaging data. Start with these practical steps:

1. Ask your radiology department about data use. Before any scan, ask: “Will my images be used for AI training or shared with external companies?” If the staff doesn’t know, ask to speak with the privacy officer or radiology administrator. Many hospitals have written policies; they just don’t advertise them.

2. Read consent forms carefully. Look for language about “secondary use,” “research,” or “de-identified data.” If the wording is vague, ask for clarification or request an opt-out form. In some institutions, you can decline AI training without affecting your clinical care.

3. Inquire about HIPAA compliance and patient rights. HIPAA gives you the right to request an accounting of disclosures—a list of who has received your data. While de-identified images are often exempt, you can still ask whether your scans are stored on local servers or sent to a third-party cloud. The answer may surprise you.

4. Opt out if you prefer. Several major hospital systems now offer opt-out choices for their AI training programs. If yours doesn’t, you can still send a written request to the privacy office. There is no federal guarantee that you’ll be accommodated, but many providers will respect a clear objection.

5. Stay informed about your state’s laws. A growing number of states, including California and Virginia, have passed health data privacy laws that go beyond HIPAA. These may give you additional rights to access, delete, or restrict the use of your medical images.

Looking ahead

The RSNA article reflects a broader conversation in the medical community. Radiology organizations are working on stronger guidance for patient consent and data governance. Some hospitals are moving toward “privacy-preserving” AI, where the data never leaves the facility. But these practices are not yet standard.

For now, the best protection is asking questions and knowing your options. Your medical images belong to you—and you should have a say in how they are used.

Sources

  • Radiological Society of North America. “Medical Imaging AI Opens a Pandora’s Box of Privacy-Related Risks.” 2026. (Link: RSNA news article)
  • U.S. Department of Health and Human Services. HIPAA Privacy Rule.
  • California Consumer Privacy Act (CCPA) and California Privacy Rights Act (CPRA).
  • Virginia Consumer Data Protection Act (VCDPA).