Preoperative Prediction of Prolonged Operative Time in Laparoscopic Ovarian Cystectomy Using Convolutional Neural Network-Extracted Ultrasound Image Features

Key Points

• Operative time can be effectively predicted using convolutional neural networks applied to ultrasound image features, enhancing surgical planning.
• The analysis shows a clear connection between specific ultrasound features and the duration of the operation, aiding in preoperative assessments.
• Assessment using convolutional neural networks on ultrasound images offers insight into operative time prediction in surgeries such as ovarian cystectomy.
• These findings highlight the potential for improved preoperative strategies, yet further validation in diverse clinical settings is necessary.