Educate4Health

Educate4Health Educate4Health are communication and media specialists for Healthcare and Life Sciences. Our high quality services are effective, efficient & affordable.

Our services are effective & affordable.We optimise medical outcomes through effective engaging communication. Educate4Health devise & implement SMART digital engagement strategies for the healthcare and life sciences sector. We create & distribute engaging video, animation, websites, social media and flexible digital templates.

24/03/2026

In this Perspective, Iacucci and colleagues describe the role of artificial intelligence in inflammatory bowel disease care, highlighting emerging applications as well as implications for implementation.

23/03/2026

For novice medical learners, do the benefits of correct AI explanations outweigh the risks of plausible misinformation? In a randomized trial with 111 students, we found they do not. Our results reveal a significant and problematic asymmetry: misleading AI explanations significantly degraded diagnos...

22/03/2026

DeepRare—a multi-agent system for rare disease differential diagnosis decision support powered by large language models, integrating specialized tools and up-to-date knowledge sources—has the potential to reduce healthcare disparities in rare disease diagnosis.

22/03/2026

We aimed to assess prescribing accuracy, error reduction, usability, and clinician confidence of Ask Eolas (a retrieval-augmented generation-enhanced AI-CDSS) compared to existing antimicrobial guidance tools. We conducted a structured simulation single-site study evaluating Ask Eolas across 45 pres...

21/03/2026

Large language models (LLMs) are entering clinician workflows, yet evaluations rarely measure how clinician reasoning shapes model behavior during clinical interactions.

21/03/2026

Artificial intelligence (AI) heralds a transformative shift in drug development, with speed, precision, and predictive power as its core features. Advances in systems-level biology platforms, coupled with substantial investments in generative AI-centric pharma integration, have fostered healthy opti...

21/03/2026

This Review discusses the promises and pitfalls of biological AI algorithms and presents a vision for generalist biological artificial intelligence, in which models can perform diverse tasks across biological domains.

20/03/2026

Trinity researchers have found that a machine learning model could help clinicians predict which people with depression are more likely to improve with digital cognitive behavioural therapy compared to antidepressant medication.

20/03/2026

Applications of data science and artificial intelligence (AI) in global health are expanding, yet research remains fragmented and often misaligned with the needs of low-income and middle-income countries (LMICs). To address this misalignment, we conducted a global research priority-setting exercise....

18/03/2026

The artificial intelligence (AI) revolution is in full swing. The rapid deployment of AI and related digital tools in health care and public health promises to bring efficiency and new insight that might improve health. However, the emergence of these tools also raises substantial concerns about the...

17/03/2026

We strive to create an environment conducive to many different types of research across many different time scales and levels of risk.

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...

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