25
Jul 2025
Health at Risk: Deepfakes Are Targeting the Medical World
Published in General on July 25, 2025

As artificial intelligence advances, deepfake media—video, audio, images—are now so realistic they can mimic real individuals with alarming accuracy. While often discussed in politics or entertainment, the rise of AI-generated falsified content is increasingly targeting the healthcare sector, putting patient safety, diagnosis integrity, and public trust at serious risk.
What Are Deepfakes—and Why Is Healthcare Especially Vulnerable?
Deepfakes are AI-generated synthetic media, created using machine learning tools like generative adversarial networks (GANs) and variational autoencoders (VAEs). They blur the boundary between reality and fabrication, enabling realistic cloning of someone's face or voice.
Healthcare is uniquely exposed for several reasons:
- Trust-based interactions: Patients and staff often rely on verbal and visual cues that we assume are genuine.
- Telemedicine’s rise: Virtual consultations are now standard, but deepfakes can mimic both doctors and patients in these environments.
- High-value data: Patient records, scans, and personal data are premium targets for fraud or identity theft.
1. Impersonating Medical Professionals and Patients
One of the most concerning weaponisations of deepfake tech involves credible audio or video impersonations of healthcare workers. Attackers could create a doctor’s voice directing staff to share patient histories, alter medical records, or divulge credentials. They could also impersonate patients to gain unauthorized access to systems or request controlled substances.
Researchers describe this use—social engineering via deepfake—as an emerging and highly dangerous threat in healthcare environments.
2. Tampering with Medical Imaging & Diagnostics
Deepfake technology can manipulate medical test results. A notable study simulated fake CT scans by adding or removing tumours. Radiologists misdiagnosed merged models in nearly 60–99% of cases—even when told to expect manipulated images.
The implications are dire: inaccurate imaging can mislead therapeutic decision-making, prompting unnecessary surgeries or treatments, or cause insurers to be defrauded.
3. Facilitating Disinformation & Health Misinformation
Deepfakes have proliferated in spreading harmful or misleading medical advice. Australian organisations like Diabetes Victoria and the Baker Heart & Diabetes Institute were impersonated in fake video endorsements for unproven supplements. The Australian Medical Association is now calling on the federal government for tougher regulation to curb such fraudulent campaigns.
Globally, respected doctors—including figures like Michael Mosley—have had their likeness and voice used in deepfake ads promoting scams for diabetes, weight loss, and hypertension cures.
4. Disrupting Telemedicine & Facilitating Fraud
As telehealth continues to expand, deepfakes pose a risk to both sides of the consultation. A fake patient could obtain prescriptions or sick notes; a fake doctor could misdiagnose or advise dangerous regimens. This endangers patient safety, invites insurance fraud, and undermines telehealth credibility.
5. Eroding Trust and Damaging Reputations
Once people see a fake video of a trusted health official endorsing harmful advice or products, scepticism toward real communications and institutions intensifies. Trust—notoriously hard to build—can unravel quickly.
What Can Healthcare Organisations Do?
Human & System-Based Defences
- Educate staff about the risks of deepfake attacks and phishing tactics, including scrutinising unexpected calls or video messages—even if they seem to come from senior personnel.
- Limit public exposure of staff identities or personal videos, which can be used to train deepfake models.
- Introduce identity checks in telehealth consultations, such as asking patients to show physical ID or perform confirmation gestures in real time.
Technological Safeguards
- Deploy AI-based detection tools that spot subtle anomalies in facial movements, lighting, or voice cadence indicative of deepfakes.
- Use digital watermarking and blockchain-based provenance systems to verify media authenticity and trace its source.
- Implement voice authentication systems, such as biometric voice signature tools, that add strong verification before sensitive transactions.
- Enforce robust cybersecurity practices: multifactor authentication, encryption of stored and transmitted data, and updated systems on medical devices to prevent manipulation.
Encourage Critical Engagement
- Promote media literacy campaigns so both staff and patients can question content—even from trusted sources—and spot potential fakes.
Broader Context: Regulation and Awareness
Australia has already faced deepfake-related scandals—like non-consensual creation of explicit images targeting public servants—prompting calls for unified legal frameworks across states.
Meta Platforms has begun rolling out deepfake mitigation—such as algorithmically downgrading content and labelling AI‑generated media—especially around sensitive areas like elections. Similar measures may be needed for health-related content.
Final Thoughts: A New Cyber‑Health Frontier
The rise of deepfakes presents a complex challenge for healthcare systems worldwide. Mere trust in voices or images is no longer enough. Deepfakes can be weaponised—from fraud and misinformation to medical misdiagnosis and reputational harm.
But there are proactive steps institutions can take: combining human awareness, technological defences, legal safeguards, and ongoing training. With multi-layered protections, healthcare providers can shield patient safety, protect data integrity, and preserve public trust in a digital era.