Research
Explore our publications and preprints advancing healthcare through rigorous AI evaluation.
SycoEval-EM: Sycophancy Evaluation of Large Language Models in Simulated Clinical Encounters for Emergency Care
Large language models (LLMs) deployed in clinical decision support risk acquiescing to patient pressure for guideline-discordant care. We developed SycoEval-EM, […]
Screening for Missed Opportunities for Diagnosis in the ED Using eTriggers and Large Language Models
Emergency department (ED) quality review often uses administrative electronic triggers (eTriggers), but yields on detecting missed opportunities for diagnosis (MODs) […]
Evaluating the robustness and readiness of large frontier models in health AI applications
Large frontier models such as GPT-5 and Gemini have demonstrated remarkable performance in a wide range of health application benchmarks. […]
Large reasoning models as thinking machines for medicine
Conventional artificial intelligence has achieved remarkable feats in identifying associations and predictive patterns, yet its limitations in causal reasoning present […]
Towards Conversational AI for Disease Management
While large language models (LLMs) have shown promise in diagnostic dialogue1, their capabilities for effective management reasoning—including disease progression, therapeutic […]
BRIDGE: benchmarking large language models for understanding real-world clinical practice texts
Large language models (LLMs) are evolving rapidly and hold great promise for medical applications, yet benchmarking on real-world clinical data […]
Utilising the digital twin for disease prevention, treatment and in silico research
Much of modern healthcare remains reactive: patients present with symptoms and clinicians respond. What if, instead, we could anticipate illnesses […]
Multimodal foundation models exploit text to make medical image predictions
Multimodal foundation models have shown compelling but conflicting performance in medical image interpretation. However, the ways in which these models […]
A narrowing window to understand AI
As capabilities of artificial intelligence (AI) advance rapidly, human understanding of these systems is increasingly falling behind. Several trends are […]
Teaching large language models to reason like expert diagnosticians
Differential diagnosis is an iterative process that integrates patient information with broader medical knowledge. Clinical case series such as the […]
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