Let’s talk about the intersection of AI and women’s health—a space that's both promising and problematic. The FemTech industry is booming, projected to reach over $130 billion by 2034 . Yet, many AI-driven healthcare tools still rely on data that predominantly represents male physiology, leading to misdiagnoses and overlooked conditions in women.
In this session, we’ll explore:
- Personal Journeys: Hear from three trailblazing women in AI and HealthTech as they share their experiences and challenges in the field.
- Innovation in AI & Health: Discover how AI is creating new opportunities in clinical research and digital health systems - delivering value for patients.
- Data Gaps: Understand how historical biases in medical data impact AI outcomes for women's health.
- Pathways to Equity: Explore strategies to ensure inclusive and representative data in AI-driven healthcare solutions.
Join us to participate in the conversation to shape a more equitable future in HealthTech.Some initial inspiration for the topic:
- In a survey of 1,000 AI researchers, only 17% considered gender representation during dataset development (Stanford Human-Centered AI Index, 2023).
- A 2022 Nature study found that 72% of data used in AI health models came from male participants.
- Historically, women have been underrepresented in clinical trials, resulting in a lack of data on how treatments affect them differently. This gap affects the development of AI models trained on such data (National Science Foundation, 2024)
- Over 1 billion women are underserved in healthcare globally, especially in areas such as menstruation, fertility, menopause, and maternal health (FemTech Analytics, 2023).
