2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.AI2026
The complexities of patient-centred conversational artificial intelligence
João Matos, Olivia Buege, Donny Cheung +8
Consumer-facing health chatbots powered by large language models (LLMs) are increasingly used for symptom assessment. However, chatbot development and evaluation often rely on coop…
cs.LG2024★ 2 cited
What is Fair? Defining Fairness in Machine Learning for Health
Jianhui Gao, Benson Chou, Zachary R. McCaw +4
Ensuring that machine learning (ML) models are safe, effective, and equitable across all patients is critical for clinical decision-making and for preventing the amplification of e…
stat.AP2023
ssROC: Semi-Supervised ROC Analysis for Reliable and Streamlined Evaluation of Phenotyping Algorithms
Jianhui Gao, Clara-Lea Bonzel, Chuan Hong +3
High-throughput phenotyping will accelerate the use of electronic health records (EHRs) for translational research. A critical roadblock is the extensive medi…