Deepfakes in Medical Imaging: A Systemic Analysis of the Risks and Consequences
Original framing: “These medical X-rays are all deepfakes — and they fool even radiologists” — Nature
This narrative omits the historical context of medical imaging, including the development of radiology as a profession and the role of technology in shaping medical practice. It also neglects to consider the perspectives of patients and healthcare workers who may be affected by deepfakes in medical imaging. Furthermore, the narrative fails to address the structural causes of the problem, including the lack of regulation and oversight in the development and use of AI in healthcare.
Medium structural omission detected in mainstream coverage.
This narrative was produced by a team of researchers at Nature, a leading scientific journal, for an audience of medical professionals and the general public. The framing of this story serves to highlight the risks and consequences of deepfakes in medical imaging, while also obscuring the underlying power dynamics and structural issues that contribute to this problem. By focusing on the technical aspects of deepfakes, the narrative avoids a more nuanced discussion of the social and economic factors that drive the development and use of these technologies.
The use of deepfakes in medical imaging raises concerns about the cultural and social implications of this technology, particularly in non-Western cultures. For example, in some African cultures, medical imaging is seen as a symbol of trust and respect between healthcare providers and patients, and the use of deepfakes would be seen as a betrayal of this trust. This perspective highlights the need for more culturally sensitive approaches to medical imaging, and the importance of considering the social and cultural context of this technology.
The use of deepfakes in medical imaging is a complex issue that requires a nuanced understanding of the social, cultural, and technical factors that contribute to this problem.