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Dr Bappa Dittya Saha
We're gonna extinct ...Ā ā¢Ā 5m
The Hidden Bias in Medical AI: Are We Training Fair Systems? AI in healthcare is only as good as the data it learns from. And if that data is flawed, the AI inherits those flaws - amplifying healthcare disparities rather than solving them. ā ļø The Problem? Bias creeps in through: š¹ Data Imbalance - If a model is trained mostly on one demographic, it misfires on others. š¹ Systemic Bias - Historical healthcare inequalities get baked into algorithms, reinforcing the same injustices. š¹ Environmental Bias - Differences in hospital settings, imaging techniques, and even device settings can skew results. šØ AI isnāt magic - it reflects the world we feed it. The real question: Are we building AI that fixes biases or worsens them? What's your perspective on this? How can we build a better model and How can we capture and store data in such a way it brings meaning and is easy to train? #MedicalAI #BiasInAI #HealthcareEquity
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