healthcare.digital February 9, 2025
Exec Summary:
There are valid concerns about whether AI tools are adequately addressing women’s health needs due to issues like bias, lack of research, and collaboration. Here’s a breakdown:
Bias in Data:
Underrepresentation: Women have historically been underrepresented in medical research and clinical trials. This means that AI algorithms trained on these datasets may not accurately reflect the health needs and experiences of women.
Male-centric focus: Many medical studies and data collection efforts have focused primarily on male subjects. As a result, AI tools may be better at diagnosing and treating conditions that are more common in men, while overlooking or misinterpreting symptoms that are more prevalent in women.
Lack of diversity: Even when...
Today's Sponsors
Today's Sponsor