Area of research
Health Informatics · Artificial Intelligence
Research interest
Research interests include Artificial Intelligence in Healthcare and Education, Topic Modeling, Ethics in Clinical Research, and Biomedical Text Mining and Ontologies.
The TRIPOD-LLM reporting guideline for studies using large language models
When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behavior
Simulated patient systems powered by large language model-based AI agents offer potential for transforming medical education
The use of large language models to enhance cancer clinical trial educational materials
EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models
Rethinking fairness in AI to improve current practice in oncology
The effect of using a large language model to respond to patient messages
Peer review of GPT-4 technical report and systems card
Understanding and training for the impact of large language models and artificial intelligence in healthcare practice: a narrative review
Participant flow diagrams for health equity in AI
Quantifying digital health inequality across a national healthcare system
Critical Bias in Critical Care Devices
Disparity dashboards: an evaluation of the literature and framework for health equity improvement
Delivering on NIH data sharing requirements: avoiding Open Data in Appearance Only
Artificial intelligence for mechanical ventilation: systematic review of design, reporting standards, and bias