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AI Could Bridge Women's Health Gap, But Better Data Key

AI Could Bridge Women's Health Gap, But Better Data Key
AI could bridge the women’s health gap, but better data is the key · thehansindia.com

Doctors have not studied women's health as much as men's health for a very long time.

This means women sometimes get sicker than they should because their problems are not noticed in time.

For example, women who have a bad heart attack are more likely to be told they have something else.

Smart computer programs called artificial intelligence, or AI, could help fix this problem.

But these programs learn from data, and most of the data comes from studying men.

So the programs might make mistakes when they are used for women.

There are health problems that only women get, like endometriosis and menopause.

There are also problems that women get more often, like migraines.

And some diseases, like heart disease, affect women differently than men.

To make things better, we need better data, more research, and rules that make sure women are included in studies.

Key facts

Key issue
Chronic underprioritization of women's health research and treatment
Economic impact
Losses quantified in trillions of dollars
Misdiagnosis example
Women with severe heart attacks are much more likely to be misdiagnosed than men
Main barrier
Poor representation of women as research subjects in training datasets
Conditions unique to women
Endometriosis, menopause
Conditions more prevalent in women
Migraines, many autoimmune diseases
Conditions affecting both sexes differently
Heart disease, diabetes
Proposed solutions
Investment, sex-specific clinical trials, regulation, synthetic data, machine learning

Sources

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