Skip to main content

AI-Driven Detection of Ovarian Cancer Surpasses Human Expert-Level Accuracy

Medically reviewed by Carmen Pope, BPharm. Last updated on Jan 9, 2025.

By Elana Gotkine HealthDay Reporter

THURSDAY, Jan. 9, 2025 -- Transformer-based neural network models exhibit strong generalization and surpass diagnostic performance of expert and nonexpert examiners for detecting ovarian cancer in ultrasound images, according to a study published online Jan. 2 in Nature Medicine.

Filip Christiansen, from the Karolinska Institutet in Stockholm, and colleagues developed and validated transformer-based neural network models using a comprehensive dataset of 17,119 ultrasound images from 3,652 patients across 20 centers in eight countries. For each center in turn, a model was trained using data from the remaining centers, using a leave-one-out cross-validation scheme.

The researchers found that across centers, ultrasound systems, histological diagnoses, and patient age groups, the models demonstrated robust performance, significantly outperforming expert and nonexpert examiners on all evaluated metrics (F1 score, sensitivity, specificity, accuracy, Cohen's kappa, Matthew's correlation coefficient, diagnostic odds ratio, and Youden's J statistic). Artificial intelligence (AI)-driven diagnostic support reduced referrals to experts by 63 percent in a retrospective triage simulation, while significantly surpassing the diagnostic performance of current practice.

"Our study demonstrates the potential of AI models in improving the accuracy and efficiency of ovarian cancer diagnosis," the authors write. "Our models demonstrated robust generalization and significantly outperformed both expert and nonexpert examiners on all evaluated metrics."

Several authors disclosed ties to medical technology companies, including Intelligyn; several authors have applied for a patent that is pending to Intelligyn.

Abstract/Full Text

Disclaimer: Statistical data in medical articles provide general trends and do not pertain to individuals. Individual factors can vary greatly. Always seek personalized medical advice for individual healthcare decisions.

© 2025 HealthDay. All rights reserved.

Read this next

Exercise Helps Reduce Side Effects From Cancer Treatment

THURSDAY, May 1, 2025 -- Exercise mitigates adverse outcomes associated with cancer and its treatments, according to a review published online April 29 in the British Journal...

Adoption of Telemedicine Cuts Greenhouse Gas Emissions

THURSDAY, May 1, 2025 -- Telemedicine use modestly decreases the carbon footprint of U.S. health care delivery, according to a study published online April 22 in the American...

Eliminating Nursing Understaffing Aids Hospital Outcomes

THURSDAY, May 1, 2025 -- Addressing nursing understaffing improves outcomes for hospitalized patients, according to a study published online April 29 in BMJ Quality &...

More news resources

Subscribe to our newsletter

Whatever your topic of interest, subscribe to our newsletters to get the best of Drugs.com in your inbox.