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MHRA/FDA Principles of Good Machine Learning Practice
Your guide to Good Machine Learning Practice within regulatory frameworks
Hardian and Aidence partner with University of Edinburgh for NHS AI Award.
Hardian Health announces partnership with Aidence and the University of Edinburgh to evaluate Veye chest under the NHS AAC Award.
Understanding the regulatory pathway, with Spotlab
Hardian worked closely with Miguel, co-founder of Spotlab and Adriana, Spotlab’s biomedical engineer and regulatory affairs manager to assist them with CE marking for their software IVD.
Navigating EU medical device regulation, with Koios Medical
Hardian supported Koios Medical to help their CEO Chad and this American team to navigate the minefield that is EU medical device regulation, and gain a footing here in Europe with a Class IIa CE mark.
UK medical device regulations - where are we headed?
The UK Regulatory Horizons Council recently published their report on the possibilities of UK medical device regulations after Brexit. Normally, any sane person wouldn’t blink an eye about such a mundane and bureaucratic process - but actually, there’s some serious ramifications.
How to convert FDA approval to CE marking
The US FDA and the EU MDR, while ostensibly serving the same purpose of vetting and clearing novel medical devices, do so in subtly different ways. What got you here, won’t get you there - learn more about converting from one regulatory system to another.
The ultimate guide to UKRP from Jan 1st 2021
Brexit is here, for better or worse. And that means changes to how international manufacturers of software-based medical devices must register with the MHRA.
Can you patent an algorithm?
Can you patent an algorithm? If you assume the answer is no, you could well be missing out on commercially valuable protection. Find out more…
UKCA – What does it mean for medical device companies?
Find out how the new UKCA regulatory changes will affect medical device companies on a global scale.
Investment Ready IP
For investors looking at a health technology business, their intellectual property position will play a significant role in any decision to invest. Find out more on how to protect your IP and satisfy investors.
Digital health - Strategy or Fantasy?
The worst person you can fool about your product’s value is yourself. It’s time to take a reality check on the feasibility and risks of your grand idea.
5 simple questions to ask clinical AI vendors before you buy
Learn the five key questions you need to ask AI vendors, giving you the low-down on common marketing misunderstandings, statistical obfuscation, and creative stretching of medical device regulation.
Want a safe medical device? You'll need hands-on clinicians
For innovative health technology, the only route to market is regulatory approval. The only route to regulatory approval is clinical evidence. You’ll need experts in both.
Beware the COVID-tech Cowboys
Health tech has suddenly found its new focus in Coronavirus - but are we at risk of doing more harm than good by rushing to use unproven solutions? To avoid chaos in the aftermath, we should focus on tried-and tested tech, and only use novel solutions where need is deemed greater than the acceptable risk.
Preparing Medical Imaging Data for Machine Learning
In this article, co-authored with researchers from Stanford, Segmed.ai and Hardian Health, we describe fundamental steps for preparing medical imaging data in AI algorithm development, explain current limitations to data curation, and explore new approaches to address the problem of data availability.
Open access, published in Radiology.
NHS data - Maximising its impact on the health and wealth of the United Kingdom
Led by Lord O’Shaughnessy and Lord Darzi this white paper from the Imperial Institute of Global Health Innovation reviews the current landscape for NHS data, and makes recommendations for government on how to involve the public in future initiatives to harness the value of their medical data for the benefit of the NHS.
The Story of Radiology AI
How do you build an AI company in healthcare? What can AI in radiology actually do? What should it be doing? Are clinicians ever going to be replaced? What does the future look like in healthcare AI?
In this HS Health Tech podcast, James is joined by Dr. Hugh Harvey, Managing Director at Hardian Health.
Artificial intelligence in diagnostic imaging: impact on the radiography profession
Prof Maryann Hardy and Dr Hugh Harvey explore how the radiographer role might develop and change in response to the evolving capabilities of intelligent technologies, the opportunities adoption may bring, and the steps required to ensure that the radiography profession remains engaged and involved in the successful delivery and implementation of AI systems.