Knowledge hub

Stay updated with real-world use cases, expert insights, product updates, and research on AI in medical imaging. Explore our growing collection of resources, including case studies, webinars, and industry news, to stay informed about the latest advancements in AI-powered radiology.

Oxipit expands radiology AI portfolio beyond CXR with CT Eye™ and MSK Eye™

2026 February 10th
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Diagnostikum Group selects Oxipit CXR Suite after rigorous multi-vendor evaluation

2025 November 18th
Vilnius, Lithuania – November 18, 2025 – Oxipit, a leading provider of AI-driven medical imaging solutions, announced that Diagnostikum Group, one of Austria’s foremost diagnostic providers, has chosen the Oxipit CXR Suite to enhance chest X-ray workflows across its network. The implementation will take place through Oxipit’s partner DeepC, ensuring seamless integration into Diagnostikum’s existing clinical environment. 
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Oxipit welcomes new strategic advisor

2025 August 19th
August 19, 2025—Vilnius, Lithuania—Oxipit, a leading AI-driven healthcare technology company, is pleased to announce that Kevin Shah has joined the company as Strategic Advisor, bringing invaluable guidance as the company builds on recent sales momentum and prepares for the launch of its upcoming MSK and CT solutions. His deep market knowledge and proven commercial experience align closely with Oxipit’s mission to lead the future of autonomous radiology—delivering trusted AI solutions that empower equitable, precise healthcare, transform diagnosis, and improve patient care worldwide. 
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Case study: embracing AI for efficient chest x-ray reporting and quality assurance

2025 June 25th
At Šeškinės Poliklinika, one of Lithuania’s largest public clinics, radiologists process over 2,700 chest X-rays each month. To meet rising demand without compromising care, the clinic implemented the Oxipit CXR Suite—a portfolio of AI tools built for chest X-ray workflows. Today, Oxipit’s AI autonomously reports up to 80% of routine, healthy chest X-rays, allowing radiologists to focus on more complex cases. Integrated real-time quality assurance adds a second layer of diagnostic safety, supporting confident, consistent decisions. This case study explores how the clinic moved from early adoption to measurable results—with faster reporting, reduced workload, and AI now fully embedded in everyday practice.
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UKIO 2025 reflections: autonomous AI is ready. The question is — are we ready to use it?

2025 June 9th
A panel discussion at UKIO 2025 highlighted ongoing questions around the use of autonomous AI in radiology. In this blog post, Peter Corscadden, Oxipit CEO, reflects on the debate, the UK’s regulatory landscape, and how Oxipit’s CE-certified solution for autonomous chest X-ray reporting can support radiology departments under pressure. The technology is ready — the focus now is on implementation.
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Oxipit partners with Vestre Viken to pilot AI in chest X-ray diagnostics

2025 June 5th
Bærum, Norway – June 5, 2025 – Oxipit, a leading provider of AI-driven medical imaging solutions, announced the collaboration with Vestre Viken Health Trust in launching Norway's first pilot project for AI-powered thoracic (lung) X-ray imaging. This initiative will evaluate ChestLink, the world’s first autonomous AI tool for reporting normal chest X-rays.
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Diagnostic confidence at speed: how FIDI uses Oxipit AI through CARPL in emergency care

2025 May 13th
FIDI (Fundação Instituto de Pesquisa e Estudo de Diagnóstico por Imagem) is one of Latin America's largest radiology service providers, delivering more than 400,000 diagnostic studies each month across 90 sites in Brazil. In 2024, FIDI introduced Oxipit’s AI-powered chest X-ray support tool in emergency departments, where fast, consistent interpretation is critical and real-time radiologist input is not always available.
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Oxipit appoints Dr. Robert Epstein to radiology advisory board

2025 February 27th
February 27, 2025 — Vilnius, Lithuania — Oxipit, a leading AI-driven healthcare technology company, has announced the appointment of Dr. Robert Epstein to its Radiology Advisory Board. His expertise in radiology and healthcare strategy will support Oxipit’s mission to enhance diagnostic workflows worldwide through trusted AI solutions, enabling faster, more precise diagnoses and advancing patient care.
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Navigating the future of AI in healthcare: insights from the AI Action Summit in Paris

2025 February 24th
Artificial intelligence is transforming industries worldwide, but nowhere is its impact more profound than in healthcare. As AI-driven automation advances, ensuring transparency, validation, accuracy, and implementation of AI ethical principles becomes paramount—especially in high-stakes fields like medical imaging.
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Unilabs Partners with Oxipit to Integrate AI-Powered Chest X-Ray Solutions Across Europe 

2025 February 17th
February 17, 2025 — Geneva, Switzerland — Unilabs, a leading diagnostic services provider in Europe, announced the selection of AI solutions from Oxipit, a pioneering medical imaging AI company, to deploy solutions for chest X-rays throughout Unilabs’ European network. This partnership will see Oxipit’s AI solutions, ChestLink and ChestEye, integrated into Unilabs’ radiology workflows, streamlining chest X-ray reporting through automated triage and second-reading capabilities. The agreement covers the option to use these solutions within the entire Unilabs group in Europe, with the initial rollout starting in Portugal.
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The impact of AI on radiology: insights from the largest retrospective trial in UK

2025 January 31st
How can AI revolutionize radiology and address critical challenges in healthcare? In this compelling interview, Dr. Aditya Kale, a radiologist and medical algorithmic audit lead at University Hospital Birmingham (UHB), shares his experience leading the largest retrospective study in UK, which was conducted on Oxipit’s ChestLink AI solution. From tackling the NHS backlog in chest X-rays to redefining reporting efficiency and patient care, Dr. Kale unveils key findings and offers valuable perspectives on AI’s potential to transform radiology workflows. Dive in to discover the groundbreaking results, lessons learned, and what the future holds for autonomous AI in healthcare.
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