Historically, medical research and diagnostics have exhibited gender bias, often overlooking how symptoms and diseases present differently in women. AI, trained on diverse, inclusive datasets, can help bridge this gap by recognizing a wider range of symptoms and conditions across genders. By reducing reliance on biased historical data, AI can contribute to more equitable healthcare outcomes.
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