Rology and Thakaa Med Announce a Strategic Partnership to Develop an AI Neuroimaging Solution for Stroke Detection

Riyadh, Saudi Arabia – Rology, a leading FDA-cleared AI-powered teleradiology platform, and Thakaa Med, an AI-driven healthcare technology pioneer, are proud to announce a strategic joint development partnership aimed at advancing neuroimaging for stroke detection through AI. The collaboration will leverage the combined expertise and resources of both companies to develop an AI solution “StrokeIQ,” that rapidly and accurately identifies strokes in brain scans.

Addressing a Critical Healthcare Need

According to the World Stroke Organization (WSO), Stroke is the second leading cause of death and disability combined in the world, with the vast majority (86%) of stroke-related deaths occurring in low- and lower-middle-income countries (LMICs). Immediate and accurate diagnosis is essential to prevent long-term damage and improve patient outcomes. However, the traditional diagnostic process can be time-consuming, especially in regions with a shortage of specialized radiologists. By integrating AI, StrokeIQ aims to significantly reduce diagnosis time, empowering healthcare providers with faster and more precise tools for stroke detection.

The Power of AI in Stroke Diagnosis

Rology and Thakaa Med’s collaboration will focus on developing an AI model designed to identify stroke signs in CT images with exceptional speed and accuracy. Leveraging both Rology and Thakaa Med’s expertise in developing advanced AI algorithms, and combining AI with telediagnosis, StrokeIQ will support radiologists by highlighting potential stroke regions and automating diagnostic processes. This will expedite decision-making in emergency scenarios where every minute counts.

"Time is brain," said Mahmoud Eldefrawy , Co-founder and Chief Medical Officer of Rology. "Our partnership with Thakaa Med in developing StrokeIQ underscores our commitment to transforming healthcare through AI. By accelerating the detection of strokes, we aim to save lives and reduce long-term disability caused by delayed diagnosis."

Strategic Collaboration for a Global Impact

Thakaa Med and Rology will combine their technological capabilities, radiological expertise, and AI development resources to fast-track the creation and deployment of StrokeIQ. The tool is designed to integrate seamlessly into both organizations' existing platforms, ensuring that hospitals and clinics across the Middle East and globally can benefit from this advanced diagnostic solution.

“In stroke care, every second saved can mean a life saved,” commented Dr. Abdulaziz Alnassar , Co-founder and Chief Medical Officer of Thakaa Med. “AI has the potential to revolutionize stroke care by improving diagnostic accuracy and treatment timelines, and we are excited to bring our combined innovations to life through StrokeIQ.”

Expected Impact

By enhancing the speed and accuracy of stroke detection, StrokeIQ will not only improve recovery rates but also reduce the long-term neurological impairments often associated with delayed diagnosis. This partnership is set to transform stroke management, particularly in regions facing a shortage of trained radiologists, furthering both companies’ commitment to improving healthcare outcomes globally.

About Rology

Rology is the leading FDA-cleared AI-powered teleradiology platform in the Middle East and Africa, offering AI-assisted radiology services with a mission to bridge the gap in radiology demand and supply. With FDA clearance and a strong presence in Saudi Arabia, Egypt, and Kenya, Rology is committed to enhancing diagnostic efficiency and quality through innovative technology.

About Thakaa Med

Thakaa Med is a pioneering AI-first healthcare technology provider based in Riyadh, Saudi Arabia. Driven by a mission to transform healthcare with AI, Thakaa Med provides AI-powered solutions that span diagnostics, care pathways, and healthcare workflows. By applying AI across the healthcare spectrum, the company is advancing precision medicine and improving the efficiency of care delivery, empowering healthcare providers and healthcare systems to make faster, more informed decisions.