insights on clinical AI, guideline access, and the future of medicine
This article delves into a nuanced application of AI in healthcare – its potential to support the complex process of clinical reasoning. It explores how features like the 'Brainsto...
We examine the increasing importance of mobile accessibility in the practice of Evidence-Based Medicine (EBM). It highlights the advantages of having dependable clinical reference ...
AI is reshaping medical education, offering innovative ways to manage information overload and support continuous learning. Quiz iatroX introduces a large, free question bank for U...
iatroX, the guideline-based clinical companion, is now available as a native iOS app. You can download it from the App Store: https://apps.apple.com/app/iatrox/id6744710677.
Clinical guidelines are essential to safe, effective, and equitable care—yet real-world adherence remains alarmingly inconsistent. This article explores how artificial intelligence...
Explore how factors such as socioeconomic status, education, and geography influence the adoption of digital health tools in the NHS and discuss strategies to overcome these barrie...
Clinician burnout has reached alarming levels, jeopardising both staff well‑being and patient care. This article explores how digital health innovations—such as AI-driven reference...
Delve into the challenges and solutions related to data security and patient privacy as healthcare systems increasingly adopt AI‑driven technologies.
Discover how digital health innovations from around the world are transforming patient care and clinical decision-making. In this article, we explore cutting-edge practices in tele...
Examine the common barriers to AI adoption among clinicians and the strategies that can help overcome them. This article will discuss cultural, technical, and educational challenge...
International medical graduates (IMGs) in the UK face significantly lower pass rates in key clinical exams compared to their UK‐trained peers, raising concerns about potential bias...
Exploring how AI-driven clinical tools can transform clinical decision-making in the NHS by reducing cognitive load, improving guideline adherence, and streamlining care delivery.