The inaugural RCR International AI Convention 2025, held in London, was a fascinating gathering of healthcare professionals, innovators and policymakers, all targeted on shaping the way forward for AI in healthcare.
With over 1,000 attendees from 54 international locations, 34 expert-led classes and 97 summary posters, the occasion offered a dynamic atmosphere for exploring the transformative potential of AI in radiology and past.
Aligning Business Requirements For an Simpler Path to Adoption
One of many main highlights was the launch of AXREM’s AI manifesto, a vital step in the direction of fostering collaboration between policymakers, NHS management and AI builders. The manifesto underscores the necessity for clear innovation pathways and lowering duplication in compliance efforts, which is crucial for the efficient scaling of AI in healthcare. With ongoing workforce shortages and rising service calls for, Aidoc totally helps this push for significant, scalable AI adoption.
As Aidoc’s Mike Burns, who contributed to the manifesto aptly famous, “I’m proud to see how its imaginative and prescient of accountable AI adoption aligns completely with Aidoc’s platform method. The Manifesto’s emphasis on standardisation, scalability and enterprise-wide integration displays precisely what we’ve constructed with our aiOS™ platform – an infrastructure that grows with healthcare suppliers’ wants whereas sustaining the very best requirements of safety and scientific governance.”
Burns additionally shared that it was encouraging to see the AI business uniting by AXREM to determine a trusted, standardised method for healthcare suppliers.
“This alignment between AXREM’s imaginative and prescient and Aidoc’s method offers me confidence we’re on the proper path towards serving to healthcare suppliers realise the complete potential of AI.”
The convention additionally noticed high-profile visits from key policymakers, together with Chi Onwurah MP, Chair of the Science, Innovation and Know-how Choose Committee; Andrew George MP, Member of the Well being and Social Care Choose Committee; Lord Markham, Shadow Minister for Science, Innovation and Know-how within the Lords; and Caroline Nokes MP, Deputy Speaker of the Home of Commons. Their presence highlighted the rising significance of AI in shaping the way forward for healthcare coverage.
Actual-World Influence Introduced: Aidoc’s Options for PE
The convention featured highly effective displays demonstrating the real-world influence of Aidoc’s AI options. Professor Jay Suntharalingam from Royal United Hospitals Tub highlighted how Aidoc’s AI is reworking pulmonary embolism (PE) administration. By flagging suspected PE instances in real-time, he defined how report turnaround instances might be decreased from two hours to as little as ten minutes, enabling quicker scientific selections.
He additionally defined how the AI assists healthcare suppliers in threat stratification, detecting suspected instances of proper coronary heart pressure (an indicator of excessive threat sufferers) to assist determine sufferers who might be safely discharged versus these needing extra quick and pressing care. Early outcomes from their ongoing research have already revealed that Aidoc’s AI flagged suspected optimistic instances of PE that have been initially missed by the reporting radiologist.1,3
Dr Fergus O’Herlihy from Mater Misericordiae College Hospital in Dublin shared compelling findings from their evaluation of over 11,000 CT research. Following the introduction of Aidoc’s AI, there was an 82% improve in consciousness of incidental pulmonary emboli (iPE), with segmental emboli detection growing six-fold.2
Notably, 77% of suspected optimistic instances flagged by the AI led to adjustments in scientific administration, similar to initiating anticoagulation remedy. Dr O’Herlihy’s group reported a specificity of over 99%, highlighting how Aidoc’s AI ensures minimal workflow disruption whereas delivering vital scientific worth.2,4
The convention strengthened the important position AI performs in lowering clinician burden, and bettering affected person care. We’re excited to proceed collaborating with clinicians, business leaders and policymakers to drive innovation and form the way forward for AI in healthcare.
References
- Creating Synthetic Intelligence options to enhance prognosis and threat stratification in acute pulmonary embolism and power thrombo-embolic pulmonary hypertension, Professor Jay Suntharalingam, Advisor Respiratory Doctor, Respiratory Dept, Royal United Hospitals Tub, UK, Stream 5, Session 5: NHS AI initiatives, NHS and RCR International AI Congress 2025.
- The influence of Synthetic Intelligence on the detection of incidental and symptomatic pulmonary emboli: A evaluation of 11,000 CT research. Dr Fergus O’Herlihy, Specialist Registrar, Mater Mesericordiae College Hospital, Dublin, Stream 4, Session 6: Summary showcase, NHS and RCR International AI Congress 2025.
- Aidoc’s PE answer is indicated for triage and prioritization of suspected optimistic instances of PE. It isn’t a diagnostic software program and isn’t supposed to switch a clinician’s full interpretation of a medical picture per commonplace of care.
- For full data concerning the efficiency of Aidoc’s PE answer, seek advice from the product person information.