In the world of business and innovation, solving the right problem can be the key to success. In a recent video interview with The Business Spotlight, Peter Corscadden, CEO of Oxipit, discussed the revolutionary role of autonomous AI in the radiology industry and how Oxipit is at the forefront of this change.
Autonomous AI: transforming radiology
Oxipit’s mission is clear—leverage AI to streamline radiology workflows and reduce the mounting pressure on radiologists. Peter highlighted that the growing demand for imaging services, coupled with a shortage of radiologists, is pushing healthcare systems to their limits.
While traditional AI tools, such as CAD (Computer-Aided Detection) have made significant strides in assisting radiologists by highlighting potential areas of concern, they still require manual review and don’t fully alleviate the rising workload. The real challenge lies in striking the perfect balance between optimising efficiency and maintaining diagnostic precision. How can we empower radiologists to do more with less, without compromising the quality of care? That’s the right problem to solve.
This is where Oxipit’s autonomous AI tool, ChestLink, excels. Designed to autonomously deliver final reports for healthy patients, ChestLink goes beyond CAD’s supportive role by automating up to 40% of chest X-ray workflows. In clinical validation trials, it achieved over 99% sensitivity, freeing up radiologists to focus on more complex cases without compromising patient care. By solving the issue of handling routine cases, ChestLink directly addresses the pressure on radiologists and supports better use of their expertise.
Peter emphasised that autonomous AI is not about replacing radiologists but about enhancing their capacity to handle rising workloads while maintaining the highest quality of care.
Oxipit’s global impact
During the interview, Peter also shared the company’s efforts to bring AI-driven radiology to underserved regions. One notable example is Oxipit’s work in Rwanda, where it partnered with local healthcare providers to implement its diagnostic tools. This project will not only improve early disease detection but will also empower local healthcare professionals through training and collaboration.The shortage of radiologists often results in non-specialists interpreting X-rays, increasing the error rate and potentially leading to misdiagnosis and delayed or inadequate treatment. Oxipit’s AI improves the accuracy of interpretations, regardless of the interpreter’s level of expertise, thus reducing this inequality.
By focusing on regions with limited access to radiology expertise, Oxipit’s solutions help address the healthcare inequalities.Oxipit’s technology tackles inequalities by improving access to timely, accurate, and efficient radiology services, even in resource-constrained settings.
Looking ahead: shaping the future of AI in healthcare
Peter concluded by expressing his excitement for the future of AI in healthcare. As AI technology continues to evolve, Oxipit aims to expand its suite of solutions to address even more radiological challenges. For Peter, the key to success lies in the company’s commitment to solving the right problems and staying focused on the broader mission of transforming radiology for the better.
Watch the full video here: [Business Spotlight | Peter Corscadden of Oxipit INterviewed by Peter Magee (youtube.com)]