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What we learned supporting the NHS England Targeted Lung Health Checks
Lung cancer is a devastating illness. It kills one person every 30 seconds and costs ... Continue reading...
Quality improvement in theory and practice: guiding principles and a real-world incident fix
As a clinician, I was always interested in quality improvement. I enjoyed the logic of ... Continue reading...
In a race between AI algorithms, the best software will win
The inspiration for this article came from a tweet by Dr Amine Korchi, neuroradiologist and ... Continue reading...
A new era of post-market surveillance for AI medical solutions: live performance monitoring
PMS as a collaborative effort Medical device manufacturers often consider post-market surveillance (PMS) as an ... Continue reading...
Making a case for buying medical imaging AI: How to define the return on investment
There have been many claims about technologies making healthcare better or more affordable. Artificial intelligence ... Continue reading...
The (not-so-distant) future of AI in healthcare
There have been many claims about technologies making healthcare better or more affordable. Artificial intelligence ... Continue reading...
Where does medical imaging AI have the most impact today?
There have been many claims about technologies making healthcare better or more affordable. Artificial intelligence ... Continue reading...
The five-step guide to AI adoption in clinical practice
Adoption of medical imaging AI is about getting your hospital or screening programme ready to ... Continue reading...
The roadmap to a safe and sustainable AI medical solution, during and beyond covid-19
All hands on deck The covid19 pandemic demands urgent action to manage the influx of ... Continue reading...
Workflow integration is the game-changer for medical imaging AI
The potential extra burden of AI Medical imaging technology is increasingly sophisticated, for a large ... Continue reading...