AI based models achieved an accuracy rate of 86% for detecting ovarian cancer, compared to 82% for human experts.

A new international study led by researchers at Karolinska Institutet in Sweden shows that AI-based models can outperform ...

Transformer-based neural network models exhibit strong generalization and surpass diagnostic performance of expert an ...

In a new study led by researchers at Karolinska Institutet in Sweden, AI models did a better job of detecting ovarian cancer ...

Artificial intelligence has proven to be helpful in identifying more cases of breast and ovarian cancer. Studies conducted in ...

A new international study shows that AI-based models can outperform human experts at identifying ovarian cancer in ultrasound images.

A new international study led by researchers at Karolinska Institutet in Sweden shows that AI-based models can outperform ...

AI can outperform human doctors when it comes to identifying ovarian cancer from ultrasound images.A new study publishe ...

AI-based tools demonstrate superior performance in ovarian cancer detection, offering potential to optimize healthcare ...