Advances in Research Conference: Artificial Intelligence and Implementation Science
Machine learning (ML) as an important manifestation of artificial intelligence (AI) is a collection of computationally intensive statistical learning techniques. Recent years have seen an explosion of ML and AI tools for use in health care. While numerous advances have been made with these tools, challenges in data science, validation, calibration, security, and implementation remain essential to address. Researchers and clinicians practicing in the 2020s need greater understanding of the scientific underpinnings and pragmatic issues related to AI and big data science. Improving clinical care will require the robust application of implementation science to empirically assess the effectiveness of any proposed intervention.
In this program, experts in computational biology, ML, and informatics discuss the latest advances, facilitators, and barriers to wider implementation of AI in medicine and nephrology. Provided a foundation of key principles, terms, and applications related to AI and implementation science, participants explore the opportunities these tools can bring to improving research and clinical care in kidney diseases.