Artificial Intelligence and Uterine Fibroids: A Useful Combination for Diagnosis and Treatment
Journal of Clinical Medicine, cilt.14, sa.10, 2025 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Derleme
- Cilt numarası: 14 Sayı: 10
- Basım Tarihi: 2025
- Doi Numarası: 10.3390/jcm14103454
- Dergi Adı: Journal of Clinical Medicine
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE
- Anahtar Kelimeler: artificial intelligence, deep neural network, high-intensity focused ultrasound, machine learning, magnetic resonance imaging, myoma, uterine fibroids, uterine leiomyosarcoma
- İstanbul Kent Üniversitesi Adresli: Evet
Özet
This manuscript examines the role of artificial intelligence (AI) in the diagnosis and treatment of uterine fibroids and uterine sarcomas, offering a comprehensive assessment of AI-supported diagnostic and therapeutic techniques. Through the use of radiomics, machine learning, and deep neural network models, AI shows promise in identifying benign and malignant uterine lesions, directing therapeutic decisions, and improving diagnostic accuracy. It also demonstrates significant capabilities in the timely detection of fibroids. Additionally, AI improves surgical precision, real-time structure detection, and patient outcomes by transforming surgical techniques such as myomectomy, robot-assisted laparoscopic surgery, and High-Intensity Focused Ultrasound (HIFU) ablation. By helping to forecast treatment outcomes and monitor progress during procedures like uterine fibroid embolization, AI also offers a fresh and fascinating perspective for improving the clinical management of these conditions. This review critically assesses the current literature, identifies the advantages and limitations of various AI approaches, and provides future directions for research and clinical implementation.