Deepfake videos in the healthcare field, subject of criminalistic analysis
Keywords:
deepfake, digital evidence, telemedicine, forensics, Medical law, digital examinationAbstract
The rapid development of generative neural networks has given rise to the phenomenon of deepfakes— synthetic audio and video recordings that are virtually indistinguishable from the real thing. In the medical field, such substitutions can confuse patients and doctors, mask medical errors, falsify telemedicine consultations, and create false evidence. This article provides a forensic analysis of deepfake videos and explores the legal and technological challenges of detecting them. Based on a comparative analysis of legislation and modern digital forensics methods, the article examines visual, audiovisual, and digital indicators of falsification, threats to the reliability of evidence, and the medical sector's need for new authentication protocols. It also argues for the need for international harmonization of labeling requirements, the development of specialized datasets for medical purposes, the implementation of blockchain technologies in the evidence chain, and interdisciplinary training of experts.
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