The inaugural RCR Global AI Conference 2025, held in London, was an engaging gathering of healthcare professionals, innovators and policymakers, all focused on shaping the future of AI in healthcare.
With over 1,000 attendees from 54 countries, 34 expert-led sessions and 97 abstract posters, the event provided a dynamic environment for exploring the transformative potential of AI in radiology and beyond.
One of the major highlights was the launch of AXREM’s AI manifesto, a crucial step towards fostering collaboration between policymakers, NHS leadership and AI developers. The manifesto underscores the need for clear innovation pathways and reducing duplication in compliance efforts, which is essential for the effective scaling of AI in healthcare. With ongoing workforce shortages and rising service demands, Aidoc fully supports this push for meaningful, scalable AI adoption.
As Aidoc’s Mike Burns, who contributed to the manifesto aptly noted, “I’m proud to see how its vision of responsible AI adoption aligns perfectly with Aidoc’s platform approach. The Manifesto’s emphasis on standardisation, scalability and enterprise-wide integration reflects exactly what we’ve built with our aiOS™ platform – an infrastructure that grows with healthcare providers’ needs while maintaining the highest standards of security and clinical governance.”
Burns also shared that it was encouraging to see the AI industry uniting through AXREM to establish a trusted, standardised approach for healthcare providers.
“This alignment between AXREM’s vision and Aidoc’s approach gives me confidence we’re on the right path toward helping healthcare providers realise the full potential of AI.”
The conference also saw high-profile visits from key policymakers, including Chi Onwurah MP, Chair of the Science, Innovation and Technology Select Committee; Andrew George MP, Member of the Health and Social Care Select Committee; Lord Markham, Shadow Minister for Science, Innovation and Technology in the Lords; and Caroline Nokes MP, Deputy Speaker of the House of Commons. Their presence highlighted the growing importance of AI in shaping the future of healthcare policy.
The conference featured powerful presentations demonstrating the real-world impact of Aidoc’s AI solutions. Professor Jay Suntharalingam from Royal United Hospitals Bath highlighted how Aidoc’s AI is transforming pulmonary embolism (PE) management. By flagging suspected PE cases in real-time, he explained how report turnaround times can be reduced from two hours to as little as ten minutes, enabling faster clinical decisions.
He also explained how the AI assists healthcare providers in risk stratification, detecting suspected cases of right heart strain (an indicator of high risk patients) to help identify patients who can be safely discharged versus those needing more immediate and urgent care. Early results from their ongoing studies have already revealed that Aidoc’s AI flagged suspected positive cases of PE that were initially missed by the reporting radiologist.1,3
Dr Fergus O’Herlihy from Mater Misericordiae University Hospital in Dublin shared compelling findings from their review of over 11,000 CT studies. Following the introduction of Aidoc’s AI, there was an 82% increase in awareness of incidental pulmonary emboli (iPE), with segmental emboli detection increasing six-fold.2
Notably, 77% of suspected positive cases flagged by the AI led to changes in clinical management, such as initiating anticoagulation therapy. Dr O’Herlihy’s team reported a specificity of over 99%, highlighting how Aidoc’s AI ensures minimal workflow disruption while delivering significant clinical value.2,4
The conference reinforced the vital role AI plays in reducing clinician burden, and improving patient care. We’re excited to continue collaborating with clinicians, industry leaders and policymakers to drive innovation and shape the future of AI in healthcare.
References
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