Inside Precision Medicine January 2, 2025
A new study from the Karolinska Institute in Sweden has shown that artificial intelligence (AI) models can significantly improve the accuracy of ovarian cancer diagnoses. The data, published in Nature Medicine, shows that the AI models developed by the researchers outperformed human examiners and achieved an accuracy rate of 86.3% compared with 82.6% for experts and 77.7% for non-expert ultrasound examiners.
The research highlights the promising role AI could play in addressing the global shortage of skilled ultrasound examiners and the challenges of detecting ovarian cancer early.
The models were trained using more than 17,000 ultrasound images from 3,652 patients sourced from 20 hospitals in eight countries. The performance of these AI models shows promise to help improve ovarian cancer...
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