Summary:
- The article explores the intersection of Evidence-Based Health Care (EBHC) and Artificial Intelligence, focusing on how human-AI collaborative systems can be structured to maintain scientific rigor.
- It emphasizes the necessity of developing formal frameworks to evaluate AI-generated outputs, ensuring that "evidence" produced by machine learning models meets the epistemological standards required for clinical and scientific decision-making.