Educate4Health

17/03/2026

Dataset condensation (DC) learns a compact synthetic dataset that enables models to match the performance of full-data training, prioritising utility over distributional fidelity. While typically explored for computational efficiency, DC also holds promise for healthcare data democratisation, especi...

15/03/2026

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15/03/2026

This report provides practical guidance to enterprises for implementing OECD standards on responsible business conduct (RBC) and the OECD AI Principles when developing and using artificial intelligence (AI). It aims to support innovation, investment and growth of enterprises in the AI value chain by...

15/03/2026

The authors propose a framework for clinical AI evaluation within simulated digital hospital environments that capture the evolving constraints, and cascading effects, of clinical decisions.

14/03/2026

13/03/2026

This survey study examines the associations of patient trust in and choice of medical scenarios involving artificial intelligence with receiving information on governance mechanisms, clinician presence, performance, and data quality.

11/03/2026

BackgroundAlongside expected benefits, several ethical concerns arise from Artificial Intelligence (AI) based models. From the design to the implementation a...

10/03/2026

Both the general public and academic communities have raised concerns about sycophancy, the phenomenon of artificial intelligence (AI) excessively agreeing with or flattering users. Yet, beyond isolated media reports of severe consequences, like reinforcing delusions, little is known about the exten...

10/03/2026

(1) Background: Large language models (LLMs) show promise in healthcare but are constrained by hallucinations, static knowledge, and limited domain specificity.

09/03/2026

Recent research and advances in LLMs have led to widespread concern that AI agents could pose as human online survey-takers. However, it remains unclear how prevalent AI agents are on these platforms and how to effectively detect AI agents. We validated a series of AI detection tests that effectivel...

08/03/2026

Current medical artificial intelligence (AI) systems are often limited to narrow, task-specific applications, which constrains their impact on routine clinical care. Generalist models that can lear...

06/03/2026

Establishing augmented intelligence governance is important to ensure AI technologies are implemented into care settings in a safe, ethical, and responsible manner.