Navigating Machine Learning in Healthcare

This chapter examines the challenges and limitations of applying machine learning in healthcare, stressing the importance of adapting to real-world conditions. It critiques the often overstated claims of AI capabilities, highlighting the need for robust decision-making tools that incorporate human expertise. Additionally, the discussion emphasizes the significance of causal inference in medical outcomes while addressing ethical considerations in technology deployment.