Alexandros Karargyris

Alexandros Karargyris is the co-chair of the Medical Working Group at MLCommons, an organization focused on developing best practices for benchmarking medical artificial intelligence (AI). His work aims to enhance the clinical application of AI in healthcare, particularly through the use of real-world data.

Background and Research Interests

Karargyris has a strong background in medical imaging, machine learning, and mobile health. He has previously worked as a researcher at IBM and the National Institutes of Health (NIH) for over a decade. His research contributions include developing healthcare commercial products and imaging solutions tailored for under-resourced areas. He has published extensively in peer-reviewed journals and conferences, reflecting his commitment to advancing medical AI.123

Contributions to MLCommons

At MLCommons, Karargyris leads initiatives that intersect surgery and AI, focusing on creating open-source technologies to establish global standards for AI/ML in medicine. His leadership in the Medical Working Group is pivotal in projects like MedPerf, which provides a benchmarking platform for evaluating AI models in medical applications. This platform is designed to facilitate federated evaluation, allowing AI models to be tested across various data sources while maintaining data privacy.45

Personal Insights and Vision

Karargyris attributes his passion for AI in medicine to his upbringing in Greece, where he was inspired by the scientific legacy of historical figures. He emphasizes the importance of collaboration in advancing medical AI, advocating for independent benchmarks to measure the efficacy of AI systems in healthcare.34

Overall, Alexandros Karargyris plays a crucial role in bridging the gap between AI technology and practical medical applications, striving to improve patient outcomes through innovative solutions.