1 citations · 1 across the 3 of their papers we have counts for
3 papers
Collapsibility of Performance Metrics in Clinical Predictive AI
João Matos, Ben Van Calster, Richard D. Riley +2
Background: Population level assessments of predictive artificial intelligence (AI) can conceal performance disparities across subgroups. Fairness evaluations commonly rely on perf…
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…
Critical Appraisal of Fairness Metrics in Clinical Predictive AI
João Matos, Ben Van Calster, Leo Anthony Celi +6
Predictive artificial intelligence (AI) offers an opportunity to improve clinical practice and patient outcomes, but risks perpetuating biases if fairness is inadequately addressed…