Practical, epistemic and normative implications of algorithmic bias in healthcare artificial intelligence: a qualitative study of multidisciplinary expert perspectives

Aquino YSJ, Carter SM, Houssami N, Braunack-Mayer A, Win KT, Degeling C, Wang L, Rogers WA. Practical, epistemic and normative implications of algorithmic bias in healthcare artificial intelligence: a qualitative study of multidisciplinary expert perspectives. J Med Ethics. 2025 May 21;51(6):420-428. doi: 10.1136/jme-2022-108850. PMID: 36823101.

https://jme.bmj.com/content/51/6/420.long

Previous
Previous

Global patterns and trends in breast cancer incidence and mortality across 185 countries

Next
Next

Improving Cardiovascular Outcomes in the Psoriasis Cohort. Psoriasis and Cardiovascular Disease—Clinician Knowledge, Practice and Perceptions