Diagnostic accuracy of artificial intelligence in detection of ovarian cancer—a pilot study
The ML algorithms can detect ovarian cancers with a high level of accuracy. Further, a large-volume prospective study on large volume data sets is required before inclusion of ML algorithms in clinical practice.
Authors
- Ekta Dhamija (ORCID: https://orcid.org/0000-0002-0540-689X)
- Aparna Sharma (ORCID: https://orcid.org/0000-0002-7369-2007)
- Dipanwita Banerjee (ORCID: https://orcid.org/0000-0001-5907-9583)
- Neerja Bhatla
- Sahar Qazi
- Sandeep R. Mathur
Institutions
- Chittaranjan National Cancer Institute (IN)
- All India Institute of Medical Sciences (IN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2026-02-23
- DOI
- https://doi.org/10.3389/fmed.2026.1729412
- Primary Topic
- Ovarian cancer diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00