AI May Help Close Women's Health Gap
Endometriosis was cited to illustrate challenges, with definitive diagnosis estimated to take an average of 7 to 10 years.
By
Julia Cipriano, MS, CMPP
February 25, 2026
Clinical Scorecard: AI May Help Close Women's Health Gap
At a Glance
Category Detail
Condition Women's Health Disparities Key Mechanisms Utilization of AI to identify sex-specific disease presentations and improve diagnostic accuracy. Target Population Women experiencing health disparities, particularly in conditions like cardiovascular disease, endometriosis, and gynecologic diseases. Care Setting Clinical settings utilizing AI technologies for diagnosis and treatment.
Key Highlights
Women spend 25% more of their lives in poor health compared to men. AI can identify sex-specific biomarkers and refine risk stratification. AI may reduce gender bias in clinical decision-making. Endometriosis diagnosis can take 7 to 10 years; AI could shorten this process. Fairness and transparency are crucial in AI development for women's health. Guideline-Based Recommendations
Diagnosis
Utilize AI-enabled analysis of multisource data to improve diagnostic accuracy. Management
Implement AI-generated treatment algorithms trained on inclusive data sets. Monitoring & Follow-up
Incorporate wearable devices and menstrual trackers for reproductive health monitoring. Risks
Ensure algorithms do not reinforce existing disparities and address privacy concerns. Patient & Prescribing Data
Women with conditions such as cardiovascular disease, uterine fibroids, and endometriosis.
AI can provide personalized care by understanding intergroup and intragroup differences.
Clinical Best Practices
Include sex- and gender-specific variables in AI model development. Engage patients and the public in the ethical implementation of AI tools. References
