By the end of this activity, participants will be able to:

Apply data science techniques to critical and acute care datasets to generate insights that may improve patient outcomes.

Collaborate effectively in interdisciplinary teams to design and execute data-driven research projects.

Evaluate predictive models and machine learning applications for clinical decision support, recognizing their strengths and limitations.

Identify and address bias, fairness, and ethical considerations in AI applications for healthcare.

Develop research ideas that can be pursued beyond the datathon, leading to academic publications and potential clinical implementations.