Comparative analysis of diagnostic performance in mammography: A reader study on the impact of AI assistance
AI assistance significantly enhances the diagnostic accuracy and consistency of radiologists in mammogram interpretation, with notable benefits for less experienced readers. These findings support the integration of AI into clinical practice, particularly in resource-limited settings where access to specialized breast radiologists is constrained.
Authors
- Marlina Tanty Ramli Hamid (ORCID: https://orcid.org/0000-0002-1355-0621)
- Khariah Mat Nor (ORCID: https://orcid.org/0000-0002-6004-0747)
- Nazimah Ab Mumin (ORCID: https://orcid.org/0000-0001-8720-5700)
- Nurul Amira Mohamed
- Norliza Mat Ariffin
- Shamsiah Abdul Hamid
- Ernisha Saib
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-05-07
- DOI
- https://doi.org/10.1371/journal.pone.0322925
- Citations
- 5
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 12.40
Funders
- Universiti Teknologi MARA