Frequency and characteristics of errors by artificial intelligence (AI) in reading screening mammography: a systematic review

Aileen Zeng, Nehmat Houssami, Naomi Noguchi, Brooke Nickel & M. Luke Marinovich

Frequency and characteristics of errors by artificial intelligence (AI) in reading screening mammography: a systematic review. Breast Cancer Res Treat 207, 1–13 (2024). https://doi.org/10.1007/s10549-024-07353-3

Previous
Previous

Are Newer Drugs Better? An Analysis of Neonatal Pharmacological Treatments across Generations

Next
Next

Factors associated with private or public breast cancer screening attendance in Queensland, Australia: A retrospective cross-sectional study