> ## Content Index
> Fetch the complete content index at: https://adjacent.media/llms.txt
> Use this file to discover other available public pages before exploring further.

# Medical records underrepresent women's symptoms, skewing AI training data
- URL: https://adjacent.media/signals/medical-records-underrepresent-womens-symptoms-skewing-ai-training-data/
- Published: 2026-11-06T17:15:56.000Z
- Updated: 2026-11-06T17:15:56.000Z
- Description: Women’s underdiagnosis and dismissal in clinical settings mean the medical records used to train AI diagnostic systems encode existing gender biases at scale—perpetuating rather than correcting them.
- Author: Jonathan Greene
- Tags: #signal, theme-culture, regulation/policy, ai bias, healthcare

Source: [STAT](https://www.statnews.com/2026/11/06/women-medical-records-artificial-intelligence-diagnosis-mental-health-pain/?utm%5Fcampaign=rss&ref=adjacent.media)

Women's underdiagnosis and dismissal in clinical settings mean the medical records used to train AI diagnostic systems encode existing gender biases at scale—perpetuating rather than correcting them. AI trained on incomplete female health data will likely continue to miss conditions disproportionately affecting women, from autoimmune diseases to cardiac events. Digitizing biased medical records and then automating decisions based on them gives institutional bias computational permanence.