Leveraging AI to Assess and Describe Sexual Health Outcomes in Women After Cystectomy
Document Type
Conference Proceeding - Restricted Access
Publication Date
5-9-2025
Abstract
In 2024, more than 83,000 women will undergo radical cystectomy for conditions such as bladder cancer, interstitial cystitis, and endometriosis. Due to the invasive nature of these procedures, they often result in sexual dysfunction, including decreased libido, orgasmic disorders, dyspareunia, and lubrication issues. These significantly impact the quality of life, yet female sexual dysfunction remains underexplored compared to its male counterpart. Counseling patients about sexual changes is critical to managing expectations and offering emotional support. However, traditional in-person counseling is limited by the time, training, and comfort of that clinician in addressing these sensitive issues. Artificial intelligence (AI) and large language models (LLMs), such as Chat GPT, Claude, PaLM 2 (Google Bard), Cohere, and Llama 3.1, have emerged as tools to enhance patient care.
A cross-sectional analysis was conducted to assess patient information provided by AI/LLM platforms. The study focused on readability levels using average reading-level consensus metrics and evaluated the quality of patient education through a "demonstration" teaching method. This method involves step-by-step instructions, guided demonstrations, and pairing with supplementary materials such as written guides, visual aids, and audio resources.
Preliminary evidence suggests that AI/LLM platforms possess potential for enhancing patient education. Machine learning algorithms have demonstrated an 89% accuracy in psychological counseling and similar applications in urology are gaining traction. However, ethical considerations regarding patient safety, efficacy, and accuracy of AI-generated medical content must remain a priority.
Although the study is currently underway, the findings will provide critical insights into the feasibility of AI and LLM platforms as tools for patient education, particularly for underrepresented issues like female sexual dysfunction post-cystectomy. By addressing gaps in patient education and counseling accessibility, this research may pave the way for innovative, technology-assisted approaches to improve care and quality of life for affected individuals.
Recommended Citation
Omole I, Shafau F, Bresler L. Leveraging AI to assess and describe sexual health outcomes in women after cystectomy. Presented at: Research Day Corewell Health West; 2025 May 9; Grand Rapids, MI.
Comments
2025 Research Day Corewell Health West, Grand Rapids, MI, May 9, 2025. Abstract 1843