1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.HC2026★ 1 cited
Human-in-the-Loop Interactive Report Generation for Chronic Disease Adherence
Xiaotian Zhang, Jinhong Yu, Pengwei Yan +4
Chronic disease management requires regular adherence feedback to prevent avoidable hospitalizations, yet clinicians lack time to produce personalized patient communications. Manua…
eess.IV2025
Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification
Xing Shen, Justin Szeto, Mingyang Li +2
Multimodal large language models (MLLMs) have enormous potential to perform few-shot in-context learning in the context of medical image analysis. However, safe deployment of these…
cs.CV2025
Prompt4Trust: A Reinforcement Learning Prompt Augmentation Framework for Clinically-Aligned Confidence Calibration in Multimodal Large Language Models
Anita Kriz, Elizabeth Laura Janes, Xing Shen +1
Multimodal large language models (MLLMs) hold considerable promise for applications in healthcare. However, their deployment in safety-critical settings is hindered by two key limi…