Article Text
PDFCommentary
Negotiating cultural sensitivity in medical AI
Statistics from Altmetric.com
Footnotes
Contributors J-YL is the sole author of this commentary.
Funding This work was funded by Innovationsfonden (2085-00022B).
Competing interests None declared.
Provenance and peer review Not commissioned; internally peer reviewed.
Linked Articles
Read the full text or download the PDF:
Other content recommended for you
- Designing AI for mental health diagnosis: challenges from sub-Saharan African value-laden judgements on mental health disorders
- Health profiles and racial disparities among individuals on probation in Hennepin County, Minnesota, 2016: a cross-sectional study
- Are clinicians ethically obligated to disclose their use of medical machine learning systems to patients?
- Relationship of social and economic factors to mental disorders among population-based samples of Jamaicans and Guyanese
- Machine learning for mental health diagnosis: tackling contributory injustice and epistemic oppression
- Testimonial injustice in medical machine learning
- Chronic health problems and health-related quality of life in Chinese children and adolescents: a population-based study in Hong Kong
- Health condition at first fit note and number of fit notes: a longitudinal study of primary care records in south London
- Hierarchy of demographic and social determinants of mental health: analysis of cross-sectional survey data from the Global Mind Project
- Understanding the burden of mental and physical health disorders on families: findings from the Saudi National Mental Health Survey