RESUMEN
In this white paper, the ACR Pediatric AI Workgroup of the Commission on Informatics educates the radiology community about the health equity issue of the lack of pediatric artificial intelligence (AI), improves the understanding of relevant pediatric AI issues, and offers solutions to address the inadequacies in pediatric AI development. In short, the design, training, validation, and safe implementation of AI in children require careful and specific approaches that can be distinct from those used for adults. On the eve of widespread use of AI in imaging practice, the group invites the radiology community to align and join Image IntelliGently (www.imageintelligently.org) to ensure that the use of AI is safe, reliable, and effective for children.
Asunto(s)
Inteligencia Artificial , Radiología , Adulto , Humanos , Niño , Sociedades Médicas , Radiología/métodos , Radiografía , Diagnóstico por Imagen/métodosRESUMEN
Body image activists have proposed adding disclaimer labels to digitally altered media as a way to promote positive body image. Another approach advocated by activists is to alter advertisements through subvertising (adding social commentary to the image to undermine the message of the advertisement). We examined if body image could be enhanced by attaching Photoshop disclaimers or subvertising to thin-ideal media images of swimsuit models. In Study 1 (N=1268), adult women exposed to disclaimers or subvertising did not report higher body state satisfaction or lower drive for thinness than women exposed to unaltered images. In Study 2 (N=820), adult women who were exposed to disclaimers or subvertising did not report higher state body satisfaction or lower state social appearance comparisons than women exposed to unaltered images or to no images. These results raise questions about the effectiveness of disclaimers and subvertising for promoting body satisfaction.
