#United Kingdom #Oxford #Brainomix 360 #thrombectomy #Stroke AI

Brainomix 360 Stroke: A Game Changer in Acute Stroke Management

A groundbreaking study featured in Lancet Digital Health reveals transformative outcomes from the use of Brainomix 360 Stroke, an AI-powered imaging platform designed for stroke treatment. This research is notable for being the largest real-world evaluation of stroke AI imaging, drawing from more than 450,000 patient cases admitted to 107 NHS hospitals over five years.

Key Findings of the Study

The deployment of Brainomix 360 Stroke across 26 hospitals led to a remarkable 100% increase in endovascular thrombectomy (EVT) rates. This minimally invasive procedure is critical for patients experiencing large vessel occlusion strokes. The findings are indicative of the technology's potential to streamline treatment processes, especially in primary stroke centers struggling with staff limitations and initial patient assessments.

The research utilized comprehensive data from the Sentinel Stroke National Audit Programme (SSNAP), which spanned several years and represented a significant portion of stroke cases in the UK. Key highlights include:

• - Increased EVT Likelihood: Patients treated with Brainomix 360 Stroke had a 57% higher chance of receiving EVT compared to those who were not.
• - Quicker Transfer Times: Hospitals employing the AI imaging platform recorded a 64-minute reduction in the time taken to transfer patients to specialized treatment centers.
• - Improved Outcomes: Increased EVT rates contributed to more favorable patient outcomes, characterized by less severe disabilities upon hospital discharge.

Voices Behind the Research

The study's co-authors, including Dr. George Harston, Chief Medical and Innovation Officer at Brainomix, expressed their satisfaction with the results, emphasizing the profound implications for patient care. Dr. Harston remarked, “This landmark study validates the functionality of Brainomix 360 Stroke in enhancing treatment and ameliorating clinical outcomes on a significant scale.”

Moreover, Dr. David Hargroves, NHS National Clinical Director for Stroke, highlighted the importance of this AI technology in reducing diagnosis wait times and facilitating timely treatments that can save lives. The strategic investment by the UK government in AI research signifies a major leap towards integrating AI tools in routine clinical practice, bolstering the credibility of the findings as a sound basis for clinical guidelines.

The Role of AI in Healthcare

Brainomix 360 Stroke stands out as the first fully automated AI imaging platform tailored for acute stroke assessment. The integration of advanced algorithms for various imaging modalities, such as CT and MRI, ensures faster and more precise diagnostics. This technological innovation enables healthcare providers to make informed decisions about patient care from the point of entry into the hospital.

Brainomix's work is vital in addressing the disparities in stroke treatment accessibility, particularly in non-specialist hospitals where many patients first seek help. The study's impact is profound, indicating how AI can not only enhance the efficacy of medical interventions but also tailor healthcare services to meet regional and operational challenges.

As Brainomix continues to push the boundaries of AI technology in healthcare, their outcomes serve as a beacon for other medical fields to leverage similar innovations for improving patient outcomes. Their focus on precision medicine exemplifies a forward-thinking approach that could revolutionize treatment protocols and efficiency across various health sectors.

Conclusion

The results from this substantial study are more than just numbers; they represent lives changed and an improved standard of care for stroke patients. As the healthcare system contemplates the evolving role of artificial intelligence, Brainomix 360 Stroke has set a formidable precedent for what can be achieved through the fusion of technology and medicine. The promising increase in thrombectomy rates and overall patient care indicates a transformative step forward in acute stroke management.

This study ultimately makes a compelling case for the routine incorporation of AI imaging decision-support tools in clinical settings, calling for broader adoption to realize its full potential across the NHS and beyond.