A recent review in Diagnostics highlighted the transformative impact of artificial intelligence (AI) on the diagnosis, prognosis, and treatment of cervical cancer, which is notably the fourth most common cancer among women globally. The study, titled "Clinical Applications of Machine and Deep Learning in Cervical Cancer," analyzed 153 peer-reviewed articles from 2019 to 2024. It revealed that deep learning models, especially convolutional neural networks (CNNs), are predominant, particularly in diagnosing cancer stages and conducting screenings, achieving accuracy rates over 90%. Prognostic applications comprised 22.9% of studies, focusing on cancer progression and survival predictions, largely through multimodal data. Treatment-related studies emphasized AI in dose planning and segmentation for radiation therapy. However, concerns surrounding validation practices emerged, as many studies lacked robust methods for external validation, underscoring the need for standardized protocols to ensure clinical readiness and reliability of AI tools in cervical cancer management.
AI Tools Demonstrate Exceptional Accuracy in Cervical Cancer Staging and Survival Forecasting
