Machine Learning in Healthcare

Machine learning holds significant promise for addressing healthcare inequities by analyzing vast amounts of data, from electronic health records to wearables. However, careful consideration of biases and ethical implications is crucial, as algorithms can inadvertently overlook marginalized populations. The conversation highlights the dual nature of machine learning as both a powerful tool and a potential source of harm if not deployed thoughtfully.