Bright Huo, MD

Dr. Bright Huo is a clinician-researcher and AI methodologist operating at the forefront of surgical innovation and generative artificial intelligence. As the primary architect of the Chatbot Assessment Reporting Tool (CHART) ( https://chartguideline.org/ ) —the emerging global standard for evaluating Large Language Model (LLM) performance in medicine—he specializes in establishing the rigorous frameworks necessary to transition AI from experimental concepts into trusted clinical decision-support systems.

With a specialized focus on health research methodology, Dr. Huo bridges the critical gap between rapid technological advancement and evidence-based medicine. His work sets the precedent for transparency and auditability in medical AI, influencing how institutions and regulators approach automated clinical reasoning. He leverages this deep methodological expertise to design validation strategies that ensure AI agents not only perform accurately but adhere to the strictest safety and reporting protocols.

Dr. Huo's career is anchored in both active surgical practice and advanced academic inquiry at McMaster University, the birthplace of Evidence-Based Medicine. At Bowhead Health, he leads the clinical validation and safety architecture of the platform, ensuring that Bowhead's transparency engines and reporting standards meet the highest scientific benchmarks for regulatory trust and real-world adoption.