AI in Medical Imaging Is a Privacy Risk – Here’s What You Need to Know

Medical imaging has become one of the most promising applications of artificial intelligence in healthcare. Algorithms can now help radiologists spot tumors, fractures, and abnormalities faster than ever before. But this rapid adoption comes with a less discussed side effect: new privacy vulnerabilities for patients.

The Radiological Society of North America (RSNA) has been raising concerns about these risks, and recent research shows why we should pay attention.

What Happened

As hospitals and clinics integrate AI tools into their imaging workflows, patient data is being handled in ways it never was before. Instead of a single X-ray or MRI being stored in a local system, it’s now often uploaded to cloud-based AI platforms, shared between institutions for model training, or processed by third-party vendors. Each of these steps increases the number of people and systems that can access your medical images.

More alarming is the emergence of what researchers call deepfake X-rays. In a study presented at RSNA, scientists demonstrated that AI‑generated fake medical images—altered X‑rays showing tumors that aren’t there or hiding real ones—can fool both radiologists and AI diagnostic tools. This isn’t science fiction: the attack works by manipulating the underlying pixel data in a way that looks normal to the human eye but confuses the AI.

Why It Matters

Healthcare data is among the most sensitive personal information you have. It can reveal not just your health conditions but also your genetics, lifestyle, and even your identity. When AI is involved, the risks multiply:

  • Data centralization: AI models are often trained on large datasets pooled from multiple hospitals. If one of those hospitals has weak security, the entire dataset can be exposed.
  • Unauthorized inference: Even if images are anonymized, AI can sometimes re‑identify patients by cross‑referencing patterns or metadata.
  • Misdiagnosis: Deepfake X‑rays can lead to incorrect treatment decisions, delays in care, or unnecessary procedures. For instance, a fake tumor could trigger a biopsy that wasn’t needed.
  • Identity theft: Medical images contain enough information to be used in fraud schemes, like filing false insurance claims.

The recent RSNA news highlights that these are not hypothetical dangers. Researchers have already shown that they can create deepfake CT scans and mammograms that pass both human and machine inspection. As AI tools become more common in radiology, the attack surface grows.

What You Can Do

You don’t need to become a privacy expert to protect yourself. Here are practical steps you can take the next time you need an imaging exam:

  • Ask your provider how they use AI. Before a scan, ask: “Does the radiology department use any AI tools to interpret images? Who has access to my images?” Honest providers will explain their practices.
  • Inquire about data encryption and retention. Find out whether your images are stored encrypted and how long they are kept. Some facilities delete images after a few years; others keep them indefinitely.
  • Read the consent forms carefully. Many consent forms include broad language that allows your images to be used for research or AI training. You can often opt out of these secondary uses without affecting your care.
  • Request a copy of your images. Under HIPAA, you are entitled to receive your medical images on a CD or through a secure portal. Keeping your own copy gives you control over who else sees it.
  • Support stronger privacy rules. Currently, HIPAA doesn’t specifically address AI training or deepfake detection. Contact your elected officials and ask them to support updates that require explicit patient consent for AI use and mandatory reporting of data breaches involving medical images.

Sources

  • Radiological Society of North America: “Medical Imaging AI Opens a Pandora’s Box of Privacy‑Related Risks” – RSNA news, May 2026
  • RSNA: “Deepfake X‑Rays Fool Radiologists and AI” – study presented at RSNA 2024
  • HIPAA Privacy Rule, U.S. Department of Health and Human Services

This article is based on publicly available information and research as of May 2026. Privacy protections and AI policies in healthcare are evolving—check with your provider for the most current practices.