Cervical cancer affects around 600,000 women globally each year and is responsible for approximately 340,000 deaths annually, according to the World Health Organization. Brachytherapy, a highly effective radiation treatment that delivers targeted doses directly to the tumor, is considered one of the most successful approaches for treating cervical cancer. However, its use remains limited due to the lengthy and complex process required to personalize treatment plans for each patient. A new AI-powered tool is now being developed to address this challenge, significantly reducing the time needed to create individualized brachytherapy plans. By leveraging machine learning algorithms trained on vast datasets of medical images and treatment outcomes, the tool can rapidly analyze patient scans, identify tumor locations, and generate precise radiation delivery plans in a fraction of the time required by traditional methods. This advancement could make brachytherapy more accessible and widely adopted, especially in regions with limited access to specialized radiation oncologists. Faster planning also means patients can begin treatment sooner, improving outcomes and reducing the emotional and logistical burden of prolonged wait times. Early trials suggest the AI tool produces plans that are not only quicker but also comparable in accuracy and safety to those created by experienced clinicians. Researchers and medical professionals believe this technology could transform cervical cancer care, particularly in low- and middle-income countries where the disease burden is highest and healthcare resources are often stretched thin.