(398) An Application (APP) With Artificial Intelligence (AI) for Heterosexual Men with Erectile Dysfunction (ED)

Introduction It was estimated that, in 1995, over 152 million men worldwide experienced ED. For 2025, the prevalence of ED is predicted to be approximately 322 million worldwide. However, ED is a common yet sensitive issue in men’s health. Traditional diagnosis and treatment face barriers: stigma, lack of access to professional guidance, and privacy concerns, and these issues are not prioritized in healthcare, leading to long wait times to visit a doctor. The potential of AI as an aid has received considerable attention, it creates opportunities for personalized, private, and accessible solutions, and a number of apps have started being used in the interaction between patients and healthcare providers. For women with urinary incontinence, there is now an AI applications (APP) reported to give good results. However, for men, there is no available app. Our hypothesis in this study is that AI algorithms applied to self-generated data can provide recommendations that men can follow during the often long wait for a doctor's visit. We believe that the APP can be used as a complement to a medical examination and thus serve as decision support for healthcare providers in primary care. Objective The purpose of our project is to investigate whether it is possible to partially replace a visit to health center for men with ED with the help of digital medical history and AI-generated individualized recommendations. Furthermore, the collected data can serve as decision support for healthcare providers in outpatient care. Methods To develop anAPP, between 100 to 1000 patients are needed. Considering practical possibilities we have planned for 150 patiens. Our project is divided into four phases: Phase 1: A retrospective database was established based on data collected during routine doctor's visits. From this, an algorithm is developed using AI. Phase 2: A prospective database is established with data on patients managed in primary care. The aim is to validate the previously developed algorithm. When patients visit a doctor, they are asked if they want to participate in a study where their information is anonymized and used in the database. Phase 3: The goal is to investigate whether the mobile application can be useful during a doctor's visit. Phase 4: The value of the app will be evaluated in a randomized study. Results Phase 1: An app with questions that mimic a standardized medical interview has been developed. Phase 2: Men with ED are recommended to fill out their medical anamnesis, the IIEF (ED symptom questionnaire) and Ryff´s Psychological well-being Scales. When visiting a doctor, they are asked if they want to participate in a study where their information is anonymized and used for database building. Phase 3 and Phase 4: on going. Conclusions This study is to evaluate the possibilities of improving the health of adult men with ED using digital medical history and AI-based advice with scientific evidence-based method. In addition to better quality of life, it can also lead to reduced strain on healthcare by saving medical visits and improving the management of such visits through pre-answered questionnaires. Disclosure No