36 citations · 36 across the 3 of their papers we have counts for
4 papers
MedForge-RSI: Medical Deepfake Detection via Recursive Self-Improvement
Zhihui Chen, Mengling Feng
Text-guided image editors can generate high-fidelity medical deepfakes, challenging the reliability of clinical imagery. Although reasoning-based detectors perform strongly in dist…
medR: Reward Engineering for Clinical Offline Reinforcement Learning via Tri-Drive Potential Functions
Qianyi Xu, Gousia Habib, Feng Wu +5
Reinforcement Learning (RL) offers a powerful framework for optimizing dynamic treatment regimes (DTRs). However, clinical RL is fundamentally bottlenecked by reward engineering: t…
Med-Banana: Learning Quality-Controlled Medical Image Editing from Success-and-Failure Trajectories
Zhihui Chen, Qingyuan Lei, Kai He +2
Text-guided medical image editing must satisfy the requested pathology while preserving anatomy, modality-specific appearance, and clinical plausibility. However, existing datasets…
From Screens to Scenes: A Survey of Embodied AI in Healthcare
Yihao Liu, Xu Cao, Tingting Chen +7
Healthcare systems worldwide face persistent challenges in efficiency, accessibility, and personalization. Powered by modern AI technologies such as multimodal large language model…