A recent report highlights the dangers of deepfake medical images, particularly in radiology, where AI-generated X-rays can be indistinguishable from real ones. A quiz conducted by radiologist Mickael Tordjman revealed that only 41% of radiologists could identify fake X-rays without prior knowledge of their authenticity. Once informed about the fakes, accuracy improved to 75%. Experts warn that deepfake X-rays could be exploited for fraud, including faking injuries for insurance claims or criminal activities like ransomware attacks on hospitals. Cybersecurity expert Serena Sullivan emphasizes the necessity of securing medical networks to prevent the exposure of fake images, while researchers advocate for methods such as watermarking images and establishing a legal framework to address these emerging threats.
Thu, 16 Jul 2026 13:39:50 GMT | National Desk