AI-response evaluation and AI-assisted healthcare workflow contribution (research-focused)
Conducted AI-assisted healthcare evaluation work focused on clinical response assessment, including testing large language model outputs for suitability in medical contexts. Supported AI-driven healthcare workflows through structured evaluation activities aligned with evidence-based medicine and research methodology. Applied quality control thinking to ensure reliable interpretation of AI responses for medical use. • Large language model clinical response assessment • Medical data annotation and quality control (described as part of AI training/analytics interests) • Scientific literature evaluation to inform AI workflows • Evidence-based interpretation of AI-generated answers