Data

The article explores the potential and pitfalls of AI in healthcare. While AI doctors promise improved precision, studies reveal they can amplify existing biases in treatment based on factors like income, gender, or race. Concerns about data quality and inherent biases within healthcare systems necessitate adjustments. The solution involves a shift from a disease-centered approach to a focus on the overall patient, alongside ongoing medical progress and the use of data.