AI continues to reshape healthcare
This development raises critical questions:
Who is interpreting women’s health?
Is the data even built for them?
Much of the AI powering health apps, wearables and clinical decision tools is still derived from male-centric datasets, often overlooking the complexity of female physiology resulting in:
- “High stress” misclassifications across the menstrual cycle
- Sleep data that ignores hormonal shifts
- Training and recovery advice based on male physiology
Women are frequently assessed against the wrong baseline leading to misinterpreted data, misguided recommendations, and suboptimal outcomes.
This is why the Practitioner is indispensable.
Webinar Highlights
Join us for an educational session exploring:
This is not about rejecting AI. It’s about ensuring women’s health is interpreted through the right lens.
6pm AEST
Webinar Start
- AI and wearables and how female physiology is misread
- Analyzing the the critical gaps in datasets
- How AI-driven insights can misguide patients without clinical context
6:30pm AEST
The Practitioner’s Role
- Interpreting, correcting and contextualising patient data
- Strategies to integrate AI insights
7:00pm AEST
Q&A
Ask you questions to our presenter and be part of the conversation.