Utilizing digital storytelling supported by artificial intelligence to educate and support breast cancer patients

This study aimed to explore the extent to which AI-supported storytelling is employed to educate and support breast cancer patients through a quasi-experimental study that presented a multimedia digital narrative consisting of videos, podcasts, infographics, and text posts to the participants (50 patients) over a week. It relied on reliable medical information and was tailored to the needs and personal experiences of each patient based on the assessment and analysis of the cognitive and psychological needs of breast cancer patients in the study sample using AI techniques. The study employed both the narrative model and the acceptance and commitment model, as well as the personalization model in the process of producing the narrative for the participants. It used a depression scale to identify the impact of storytelling on reducing anxiety and depression among the study sample. The study reached several conclusions, including the significant role of AI-supported storytelling, which was utilized based on the diversity of narratives according to the narrative model, the personalization of storytelling according to each patient's unique experience, and the presentation of stories from breast cancer survivors, in educating patients and raising their awareness of the importance of early cancer detection, understanding treatment options, and enhancing their ability to make decisions that could improve their health. Additionally, storytelling supported the patients by increasing hope, however, feelings of anxiety and difficulty sleeping due to thoughts about the illness were not significantly affected by the storytelling directed at them through the study. This can be considered a clear indication of the need for psychological support and ongoing emotional assistance for breast cancer patients during their recovery journey.