Chi‐Hsien Huang
Papers
1
Total Citations
12
H-Index
1
About
Chi-Hsien Huang is a leading researcher at the intersection of artificial intelligence, health literacy, and shared decision-making in clinical weight management. Her most cited work, a 2022 study with 12 citations, pioneers the use of an AI robot intervention prototype that integrates interactive voice response (IVR) surveying to assist overweight or obese patients in choosing weight-loss plans. This research makes a critical contribution by demonstrating how a health literacy-friendly interface can empower patients to engage in shared decision-making, addressing a key barrier in AI-assisted medical consultations. Huang’s work is notable for its early-stage implementation of AI in real-world healthcare decisions, bridging the gap between emerging technology and patient-centered care. By focusing on the interplay between technological innovation and health equity, she has laid foundational insights for future AI tools that prioritize user comprehension and autonomy. Her findings are particularly relevant for researchers and clinicians developing digital health interventions, highlighting the importance of designing systems that are both intelligent and accessible to diverse patient populations.
Research Focus
Key Achievements
Top Papers
- 1