Multimodal deep learning using preoperative CT and ultrasound for recurrence risk prediction in high-grade serous ovarian carcinoma

Key Points

• Recurrence risk prediction improves with multimodal deep learning models.
• Models using both CT and ultrasound significantly enhance prediction accuracy by 25%.
• This study employs deep learning techniques on preoperative CT and ultrasound data for assessment.
• Findings indicate potential for improved patient management and early intervention strategies.