Breaking Down AI-Generated Physician Deepfake Scams

And should robotics be used for nursing care?

Photo by Anna Shvets

Scammers now use generative AI technologies to create deepfakes of physicians to sell products, extract sensitive data, and more. MD-MBA candidate Tejas S Athni, PhD analyses the types of these scams in “Classifying Physician Deepfakes: The Many Faces of AI-Powered Medical Deception“, asking: “How do they deceive and mislead audiences, and to what ends? And what are the potential clinical impacts?”

Athni identifies four ways in which deepfakes are used so far to exploit online users – commercial endorsement, engagement farming, medical misinformation, and phishing – then notes the potential risk for deepfakes to facilitate fraudulent professional communications (like interviews, presentations, and lectures) and to directly sabotage their subjects’ reputations.

Where Nursing Can be Automated, And Where It Can’t

Can – and should – bedside nursing tasks be performed by robots? Health writer and ICU nurse Jenna Congdon reviews the data in “The Robot at the Bedside: How Robotics Could Change the Future of Nursing Care”. Though one study found that a majority of bedside nursing tasks could technically be performed by robotic systems, another argued that research in laboratory settings can’t capture the complexity and flexibility of real life clinical settings, pointing to a need for human involvement. But though autonomous robots aren’t yet ready (or wanted) for most hands-on tasks, some robotics may be valuable for home care support, auxiliary nursing support, and patient independence; aiming “to reduce repetitive physical tasks, decrease time spent on nonclinical activities, and allow nurses to focus on assessment, education, and relationship building”, writes Congdon.

Source: JMIR Publications, EurekAlert!

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