The Female Body Is Not Standardized: Why AI Must Catch Up
Keywords:
Artificial intelligence, modern healthcare, diagnostic imaging, predictive analytics, AI models, decision-makingAbstract
Artificial intelligence (AI) is increasingly positioned as a transformative force in modern healthcare. From diagnostic imaging and predictive analytics to personalized treatment recommendations, AI-driven systems promise efficiency, accuracy, and scalability. However, underneath this guise of technological progress, the problem of treating the male anatomy as standard in healthcare continues to pose a challenge.
This paper explores how AI in healthcare reinforces historical patterns of gender bias by excluding women from medical datasets and male-centered model design. It discusses the negative impacts of deploying male-standardized AI systems in women's health and calls for the development of women-centered AI. The authors’ recommendations include the use of diverse clinical data, creating algorithms suitable for female physiology, and setting up ethical oversight to achieve equity and accuracy in healthcare in the age of AI.
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Copyright (c) 2026 Simran Singh (Author)
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