Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(10), P. 3454 - 3454
Published: May 15, 2025
This manuscript examines the role of artificial intelligence (AI) in diagnosis and treatment uterine fibroids sarcomas, offering a comprehensive assessment AI-supported diagnostic therapeutic techniques. Through use radiomics, machine learning, deep neural network models, AI shows promise identifying benign malignant lesions, directing decisions, improving accuracy. It also demonstrates significant capabilities timely detection fibroids. Additionally, improves surgical precision, real-time structure detection, patient outcomes by transforming techniques such as myomectomy, robot-assisted laparoscopic surgery, High-Intensity Focused Ultrasound (HIFU) ablation. By helping to forecast monitor progress during procedures like fibroid embolization, offers fresh fascinating perspective for clinical management these conditions. review critically assesses current literature, identifies advantages limitations various approaches, provides future directions research implementation.
Language: Английский