By David King & Maurits Engbersen — “Project INPACT is go!”, reads a recent tweet from clinical consultancy Hardian Health. We have officially launched novel research into a fascinating yet understudied area: the human-machine relationship. Project INPACT (Investigating Nodule Protocol Adherence using CADe/x Technology) will give us insights into the impact of an artificial intelligence (AI) medical…

by Jeroen van Duffelen — A good rule of thumb we can confirm from our own experience developing AI medical solutions is the following: “For every $1 you spend developing an algorithm, you must spend $100 to deploy and support it.” If you’re not familiar with our industry, this may sound counterintuitive. Isn’t the AI…

By Atena Mahboubian — A growing number of healthcare facilities are (re)organising based on the Value-Based Healthcare (VBHC) principles. This model offers a more holistic approach to patient care than the traditional fee-for-service approach, defining patient value as a function of outcomes per treatment costs. Yet ‘value‘ remains an ambiguous concept. …

By Stefano Baccianella and Theo Gough — “Cloud computing” is something of a misnomer — a term wrongly applied due to a misunderstanding. Its origin comes from people picturing a “far away” connection, usually over a public network like the world wide web, as a “cloud” connecting two different elements (see an example in this architectural diagram). …

By Leon Doorn & Ricardo Roovers — On May 26th 2021, the EU Medical Device Regulation 2017/745 (MDR) passed the date of application, meaning that it is now in full effect. At Aidence, we were one of the first to obtain our CE certificate for an AI-based medical device under MDR in October 2020. …

By Jeroen van Duffelen — There is a bigger health crisis at the end of covid-19: the cancer backlog. In the UK, an estimated 50,000 diagnoses have been ‘missed’ during the pandemic, with appointments for suspected lung cancer suffering the most substantial decline. Recent reports acknowledge the immense value of lung cancer screening in post-covid…

By Lizzie Barclay & Victor Zuanazzi — This year, the AI medical device industry was shaken by research showing that an AI system could identify patients’ racial identity even if not trained to do so. Despite rigorous testing, the authors could not figure out how AI could ‘learn’ without being ‘taught’. The media regularly mention healthcare AI…

By Catalina Barzescu — Artificial intelligence (AI) in medical imaging is a topic of much debate and insufficient consensus. To understand how radiologists think about AI, researchers have analysed their knowledge, perceptions, and discourse. Yet beyond these useful figures and conclusions, the conversation in itself is as compelling. In this article, we give the…

By Ricardo Roovers — I recently got to say the four “magic” words: graduated and a job! My master’s thesis on the EU regulatory framework around autonomous AI as a medical device is complete; and luckily, my internship with Aidence has turned into a full-time role. One aspect of my research was analysing the…