We reflect on the year Oxipit has had. Including experiencing significant growth in 2024, driven by the increasing demand for our autonomous AI solutions like ChestLink, ChestEye, and Quality, which help address the challenges of rising workloads and staff shortages in the radiology sector.

The key highlights from the Oxipit team at this year's UKIO conference, highlighting the pivotal discussions on autonomous reporting in radiology.

In the last post we highlighted how AI medical imaging solutions can serve as ‘a second set of eyes’ reducing the risk of overlooked findings. Operating in near-real time, they can affect patient treatment decisions, mitigating the risk of missed potentially life-threatening pathologies.

In an interview with Oxipit Dr Erik Ranschaert singled out how AI and a radiologist operate as a team to arrive at a more precise diagnosis. In such clinical workflow, AI medical imaging solutions provide a ‘second set of eyes’ and mitigates the risk of overlooked findings.

As we are building our AI tools in Europe, multi-lingual availability is their integral feature. Our first product Oxipit ChestEye produces radiological reports (report out) in 14 languages. In addition, our platform can ingest radiological reports (report in) in any world language.

ChestLink analytical dashboard is an integral part of autonomous AI operations. The dashboard helps to ensure transparency, accountability and traceability of every taken action.

Autonomous AI medical imaging platform deployment follows a three-stage framework. Ensuring process clarity, transparency, accountability and decision traceability is no less important than the performance of the AI autonomous product itself.

ChestLink, the first autonomous medical imaging application, produces automated reports for healthy patients. Learn why we have selected healthy patient report automation as a viable first step for autonomous operations.

It is safe to say that in developed countries the radiology departments are understaffed by 1/3. Moreover, the report by World Health Organization states that 2/3 of the world population does not have access to diagnostic medical imaging.

Recently World Health Organization published a guidance document regarding AI governance and ethics in healthcare. The document outlines key principles for AI deployments in daily medical practice and is a welcome addition to the discussions on the vanguard field of medical AI development.