The landscape of radiology is undergoing a profound transformation. As someone who has been deeply involved in both clinical practice and the advancement of artificial intelligence in medical imaging, I've observed firsthand how Computer-Aided Detection (CAD) systems have evolved from simple assistance tools to increasingly sophisticated solutions. However, we're now standing at the threshold of an even more significant change: the emergence of autonomous AI systems in radiology.

In a recent interview, Peter Corscadden, CEO of Oxipit, discusses the transformative role of autonomous AI in radiology. Oxipit’s AI-driven tool, ChestLink, autonomously handles up to 40% of chest X-ray workflows, freeing radiologists to focus on complex cases. Corscadden highlights the technology’s potential to reduce the strain on radiologists, improve diagnostic accuracy, and tackle healthcare inequalities—particularly in underserved regions like Rwanda. Looking ahead, Oxipit aims to expand its innovative AI solutions to further shape the future of healthcare.

Last April Oxipit took the medical imaging world by storm. The medical imaging company received a CE Class IIb certificate for the first autonomous AI imaging application ChestLink. Learn about the team who made this innovation possible.

ChestLink is the first AI medical application to produce imaging study reports without any involvement from a human radiologist. This FAQ article explains 'everything ChestLink' in simple terms.

Dr Naglis Ramanauskas is a researcher at Oxipit. Trained as a radiologist, he aims to use his first-hand clinical experience to maximize the added value of Oxipit medical imaging products. In this talk with Dr Ramanauskas we discuss how AI productization and workflow alignment are no less important than statistical model performance.

Prof Osmo Tervonen is a professor and a senior radiologist at Oulu University Hospital in Finland. He is also a partner in Parasmed - a Nairobi based medical device distributor, which provides access to emerging medical technologies to the countries in the East African region. In his interview with Oxipit, prof Tervonen shares his views on AI in healthcare and AI’s role in the field of value based medicine.

Dr Erik Ranschaert is one of the key AI medical imaging experts in Europe. He is Digital Doctor at ETZ Hospital in Tilburg, responsible for developing a hospital-wide AI infrastructure. In this interview with Oxipit, Erik shares his views on AI tool adoption, future of radiology and why we should learn and unlearn.

Can we trust AI at the same level as a radiologist performing the same challenging task? In this interview we discuss AI machine learning model development, how can AI address radiologist subjectivity and the most challenging tasks in X-ray reporting automation.

EIT Health InnoStars presents a new episode of a series of talks with inspiring people in our community who develop innovative ideas. We ask about their journeys, while developing ideas, their professional career paths and motivations.