Medical AI Privacy Risks: What Patients Need to Know to Protect Their Health Data

Artificial intelligence is making its way into radiology departments across the country. AI tools can help radiologists spot tumors, fractures, or bleeding faster than the human eye alone. But as these systems become common, a less discussed side effect is emerging: new privacy risks for patients. Recent research and news reports show that your medical images—X-rays, CT scans, MRIs—may be used in ways you never expected, and in some cases could even be manipulated.

Understanding what’s going on and knowing what questions to ask can help you stay in control of your own health data.

What Happened

At the 2025 meeting of the Radiological Society of North America (RSNA), researchers presented findings that AI systems used in medical imaging can inadvertently expose patient data. One study demonstrated that “deepfake” X-rays—artificially generated or altered images—could fool both radiologists and AI algorithms. This raises disturbing possibilities: a manipulated scan could lead to a wrong diagnosis, or a fake image could be created from a real patient’s data and used for fraud.

Separate reports have highlighted that some AI models are trained on large sets of medical images obtained from hospitals and imaging centers without explicit patient consent for that specific purpose. Even when data is de-identified, researchers have shown that it can sometimes be re-linked to individuals using other available information.

Why It Matters

For the average patient, these developments matter more than you might think. When you get an MRI or a CT scan, the image itself contains highly personal anatomical details. Combined with your name, date of birth, and medical record number, it is a powerful piece of private information.

Here are the concrete risks:

  • Unauthorized data sharing. Some imaging centers or hospitals may sell or share de-identified scans with third-party AI companies for algorithm training. While de-identification is meant to protect you, it is not always foolproof.
  • Deepfake medical images. Malicious actors could create fake scans that appear to be yours—potentially for insurance fraud, blackmail, or to alter a clinical trial result.
  • Data breaches. Medical imaging databases are valuable targets for hackers. A breach could expose thousands of patients’ scans and personal details.

Let’s be clear: the benefits of AI in radiology are real. It can improve accuracy and reduce workload for overburdened radiologists. But the privacy protections around medical imaging AI have not kept up with the speed of its adoption. As a patient, you have rights and options.

What Readers Can Do

You don’t have to avoid necessary medical imaging to protect your privacy. Here are practical steps:

  1. Ask your provider directly. Before an X-ray or MRI, ask the radiology department: “Will my images be used to train any AI system? If so, can I opt out?” Many hospitals have consent forms that cover data use, but the default is often permission. Request to opt out of any secondary use.

  2. Review the privacy notice. Your health provider is required by HIPAA to give you a notice of privacy practices. Look for language about “de-identified data,” “research,” or “third parties.” If it is vague, call and ask for specifics.

  3. Monitor for data breaches. Sign up for a free breach notification service through your health insurance portal or a trusted identity theft protection service. If your imaging center has a breach, you want to know quickly.

  4. Limit unnecessary scans. While you should never delay a needed test, talk to your doctor about whether a follow-up scan is truly necessary. Fewer scans mean less data to worry about.

  5. Use patient portals wisely. Download and store your own medical images if possible. Having a copy gives you control over what gets shared later.

It is important to note that the current regulations—chiefly HIPAA—were written before AI became widespread. They do not explicitly address the use of medical images for machine learning. Some states are beginning to introduce laws on this front, but progress is slow. Your best protection for now is being an informed, assertive patient.

Sources

  • Radiological Society of North America (RSNA). “Medical Imaging AI Opens a Pandora’s Box of Privacy-Related Risks.” 2026. [Link to original article]
  • RSNA. “Deepfake X-Rays Fool Radiologists and AI.” March 2026.
  • RSNA. “RSNA 2025 Technical Exhibits Feature Largest Radiology AI Showcase.” September 2025.

This article is for informational purposes only and does not constitute medical or legal advice. Privacy laws vary by location; consult a qualified professional for specific guidance.