AI-Enabled Progressive Web Application to Decrease Risk of Breast Cancer
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Kim, Jane M.
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Abstract
Tracking women’s health from an early age is vital for the prevention and early
discovery of breast, ovarian and cervical cancer. While several applications allow users to
monitor various health factors or join support communities, a comprehensive solution that
holistically tracks health with the aim of decreasing the risk of breast cancer remains
unknown. To bridge this gap, I designed M-AI, an AI-enabled mobile health application
that tracks dietary habits, physical activities, menstrual cycles, and provides education on
women’s health. Its aim is to elicit behavioral changes and motivate individuals to adopt
preventative lifestyle choices that mitigate the risk of breast cancer. Through an online
survey of 117 participants, I analyzed current health lifestyle practices, perceptions of
existing apps, and information needs related to breast cancer. Users wanted: (1) the system
to remember their input and personalize the output (2) integration with existing devices or
the ability to track multiple factors on a single platform, and (3) more education on
women’s health and breast cancer. This work introduces a scalable, evidence-based tool
that empowers women to proactively manage and change the trajectory of their health. It
provides a UX/UI design direction for AI systems and underscores future research
directions. This study can foster innovative approaches for preventative healthcare,
heighten awareness of breast cancer risk factors, and validate the need for preventative
tools in women’s health.
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Date
2024-05-28
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