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AI in lung cancer care: Our viewpoint on the NICE guidance

The adoption of any digital health technology should always be grounded in science, evidence-based, and ... Continue reading...

Ten tips for running real-world research into the clinical utility of radiology AI

A longtime user of our AI solution, Veye Lung Nodules, once said he “feels naked ... Continue reading...

From research to clinical practice: Building a body of evidence for radiology AI

When it comes to medical imaging AI, the proof is in the clinical studies. Or ... Continue reading...

Do radiologists make better decisions with AI? The INPACT study is set to find out

Project INPACT is go!, reads a recent tweet from clinical consultancy Hardian Health. We have ... Continue reading...

The value of AI in radiology: From concept to physicians’ perception

A growing number of healthcare facilities are (re)organising based on the Value-Based Healthcare (VBHC) principles. ... Continue reading...

How do users’ perceptions of AI influence adoption into value-based radiology departments?

Artificial intelligence (AI) developments in healthcare present time-saving benefits for physicians, by increasing productivity and ... Continue reading...

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