This article trained machine learning techniques to classify Norwegian radiology reports of pediatric CT examinations according to their description of abnormal findings. The developed models are robust with respect to different contexts, and may be used in quality assurance processes.

This is an interview about traditional health practices in the Lai community. The interviewee, born in 1962, is originally from Falam and speaks Hakha, Falam, Mizo, Kawl, and English. Interviews were collected as part of the Linguistically Underserved Communities and Health (LUCAH) project, which aims to make health information more accessible and culturally relevant for the Chin refugee community in order to ensure that they are getting clear and accurate information.

This is an interview about traditional health practices in the Lai community. The interviewee, born in 1970, is originally from Leitak and speaks Leitak, Senthang, Mara, Zotung, Lautu, Falam, Hakha, Kawl, and English. Interviews were collected as part of the Linguistically Underserved Communities and Health (LUCAH) project, which aims to make health information more accessible and culturally relevant for the Chin refugee community in order to ensure that they are getting clear and accurate information.