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AI outperforms human experts in diagnosing ovarian cancer from ultrasound images, study shows.
Researchers from Karolinska Institutet in Sweden have developed AI models that outperform human experts in identifying ovarian cancer from ultrasound images.
Using over 17,000 images from patients across 20 hospitals, the AI achieved an 86.3% accuracy rate, higher than experts at 82.6% and non-experts at 77.7%.
This could help in diagnosing difficult cases and in areas lacking ultrasound experts, though further studies are needed to fully understand the models' potential and limitations.
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La IA supera a los expertos humanos en diagnosticar el cáncer de ovario a partir de imágenes de ultrasonido, según muestra el estudio.