Healthcare AI & Digital Twins

Clinical AI, ICU temporal modeling, and patient-specific digital twins for critical-care decision support and interpretable prediction workflows.

What this line asks

Clinical AI, ICU temporal modeling, and patient-specific digital twins for critical-care decision support and interpretable prediction workflows.

Key work in this area connects research questions, prototype design, user-centered evaluation, and publication outputs.

Methods and approaches

MIMIC-IV cohort design
temporal deep learning
state-action modeling
clinical outcome prediction
human-centered evaluation

Selected outputs

AID-TWIN Rutgers Health AI Symposium
ophthalmology RAG benchmarking
ICU digital twin manuscript development

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Related Publications and Artifacts

Advancing Question-Answering in Ophthalmology With Retrieval-Augmented Generation: Benchmarking Open-Source and Proprietary Large Language Models

Translational Vision Science & Technology · Quang Nguyen, Duy-Anh Nguyen, Khang Dang, Siyin Liu, Khai Nguyen, Sophia Y. Wang, Mariya Moosajee, Nikolas Pontikos

Open DOI ▸

2025