1 citations · 1 across the 4 of their papers we have counts for
4 papers
YT-Pilot: Turning YouTube into Structured Learning Pathways with Context-Aware AI Support
Dina Albassam, Kexin Quan, Mengke Wu +3
YouTube is widely used for informal learning, where learners explore lectures and tutorials without a predefined curriculum. However, learning across videos remains fragmented: lea…
Toward Human Centered Interactive Clinical Question Answering System
Dina Albassam
Unstructured clinical notes contain essential patient information but are challenging for physicians to search and interpret efficiently. Although large language models (LLMs) have…
Leveraging LLMs for Predicting Unknown Diagnoses from Clinical Notes
Dina Albassam, Adam Cross, Chengxiang Zhai
Electronic Health Records (EHRs) often lack explicit links between medications and diagnoses, making clinical decision-making and research more difficult. Even when links exist, di…
Synthetic Patient-Physician Dialogue Generation from Clinical Notes Using LLM
Trisha Das, Dina Albassam, Jimeng Sun
Medical dialogue systems (MDS) enhance patient-physician communication, improve healthcare accessibility, and reduce costs. However, acquiring suitable data to train these systems…