Healthcare

Why Government and Healthcare Email Is So Vulnerable—and How to Protect Yours A new analysis from Security Affairs, published in early July 2026, points to government and healthcare organizations as the weakest links in global email security. The report doesn’t name specific breaches, but it outlines a pattern that security researchers have been warning about for years: attackers are increasingly targeting sectors that hold high-value personal data but often rely on outdated email defenses. For ordinary users, the implications are more direct than you might think. ...

How AI Is Changing Your Doctor’s Privacy Practices (And What It Means for You) Artificial intelligence is making its way into more doctors’ offices than ever before. Tools that help analyze medical images, summarize patient histories, or suggest diagnoses are becoming common. But behind the promises of faster, more accurate care lies a less discussed question: what happens to your health data when it’s fed into an AI system? ...

Your Doctor Is Using AI: Here’s What You Need to Know About Your Privacy Introduction Artificial intelligence tools are becoming more common in doctor’s offices, clinics, and hospitals. They can help with tasks like reading medical images, suggesting diagnoses, or summarizing patient notes. For many clinicians, these tools save time and may improve accuracy. ...

The Hidden Privacy Risks of Medical Imaging AI—and What You Can Do Artificial intelligence is becoming a standard tool in radiology. It helps detect tumors, fractures, and other abnormalities faster than traditional methods. But as AI digs deeper into medical images, it also opens new avenues for privacy breaches, data theft, and even fraud. A recent report from the Radiological Society of North America (RSNA) warns that AI in medical imaging introduces a Pandora’s box of privacy risks—and the issue is already here. ...

How to Protect Your Medical Images from AI Privacy Risks Introduction Medical imaging AI is transforming diagnostics—helping radiologists detect tumors earlier, reduce reading times, and improve accuracy. But this technology also introduces new privacy risks that many patients aren’t aware of. Recent reports from the Radiological Society of North America (RSNA) have highlighted how AI tools can be misused to create deepfake X‑rays, how large language models (LLMs) introduce cybersecurity vulnerabilities in radiology departments, and how medical images stored in the cloud may be vulnerable to breaches. ...

AI in Medical Imaging: A New Privacy Risk for Patients Artificial intelligence is increasingly used to help radiologists interpret X-rays, CT scans, and MRIs. It can spot patterns that human eyes might miss and speed up diagnosis. But as AI becomes more embedded in medical imaging, a less discussed issue is emerging: new privacy and security risks for patients. Recent reports from the Radiological Society of North America (RSNA) warn about deepfake medical images and vulnerabilities in large language models (LLMs) that could put your health data at risk. ...

Medical AI Imaging Raises New Privacy Concerns – What You Need to Know Artificial intelligence is making its way into medical imaging at a rapid pace. Algorithms can now help radiologists spot tumors, fractures, and other abnormalities faster, sometimes with greater accuracy than the human eye alone. That sounds like good news for patients. But as with many new technologies, the privacy side of the story is less straightforward. ...

Your Medical Images Could Be Used to Train AI—Here’s How to Protect Your Privacy If you’ve ever had an X-ray, MRI, or CT scan, those images are stored digitally. What you may not realize is that they’re also very valuable for training artificial intelligence systems in radiology. AI can help detect tumors, fractures, and other conditions faster than humans in some cases. But that usefulness comes with privacy risks that are only now becoming clearer. ...

AI in Medical Imaging: Privacy Risks You Should Know About Intro Artificial intelligence is increasingly used to interpret X-rays, CT scans, and MRIs. It can speed up diagnosis, catch subtle abnormalities, and reduce radiologist fatigue. But as these tools become standard in hospitals and clinics, a less discussed side effect is emerging: new privacy risks for patients. Recent research presented by the Radiological Society of North America (RSNA) has highlighted that medical imaging AI can expose patient data in unforeseen ways—and even make it possible to create realistic fake X-rays that fool both humans and machines. ...

Medical Imaging AI Raises New Privacy Concerns — What Patients Should Know Artificial intelligence is making medical imaging faster and more accurate. Algorithms now help radiologists detect tumors, fractures, and other abnormalities from X-rays, CT scans, and MRIs. But a growing body of research suggests that these same tools create new opportunities for patient data to be exposed, copied, or manipulated in ways patients may not expect. ...