During the 2024 Munich Oktoberfest, the Department of Radiology at Ludwig Maximilian University (LMU) Hospital deployed a mobile CT scanner equipped with AI algorithms to assist in diagnosing intracranial hemorrhages from head trauma. This initiative aimed to improve diagnostic accuracy and efficiency in the festival’s high-pressure emergency setting.
A recent clinical study evaluated the performance of an AI-powered diagnostic tool for detecting intracranial hemorrhages (ICH) on non-contrast head CT (NCCT) scans in emergency settings. The tool was validated against established diagnostic standards to assess its accuracy, reliability, and clinical impact in identifying life-threatening conditions such as intraparenchymal, intraventricular, epidural, subdural, and subarachnoid hemorrhages.
Prof. Najwa Touil, a leading radiologist at Ibn Rochd University Hospital and Professor at Hassan II University of Casablanca, is at the forefront of integrating artificial intelligence into clinical practice and medical education in Morocco. As part of her ongoing research into diagnostic imaging in emergency settings, she has contributed to the comparative evaluation of AI tools and radiology residents in the interpretation of critical findings on head CT scans.
/ We revolutionized the analysis of human brain ct scans through AI.
/ We revolutionized the analysis of human brain ct scans through AI.
BrainScan S.A. has received €2.64 million in funding from the Polish Agency for Enterprise Development under the SMART Pathway program (FENG.01.01-IP.02-002/23). The project, titled “Multimodal system for automated diagnosis support of brain pathologies in computed tomography,” is valued at approximately €3.81 million (at an approximate exchange rate of 1 EUR = 4.2 PLN) and will run from Q1 2025 to Q2 2027.
The goal is to enhance BrainScan CT with new capabilities, including the analysis of contrast-enhanced CT scans, detection of tumors, and improved diagnostic precision. This grant marks a major step toward advancing BrainScan’s AI-powered platform and scaling its adoption in international markets.
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Science
The global volume of CT scans is increasing by approximately 6% annually, creating a growing gap between demand and the availability of qualified radiologists. This shortage presents a significant challenge for medical centers seeking timely, accurate, and cost-effective diagnostic services.
BrainScan CT helps bridge this gap by delivering AI-assisted interpretation of brain CT scans, enabling hospitals to reduce diagnostic costs—especially those related to overtime and after-hours reporting. Medical facilities with limited overnight or holiday radiology capacity often rely on teleradiology providers, despite studies showing that up to 85% of outsourced CT scans may show no abnormalities.
By automating initial image analysis, BrainScan CT can help reduce interpretation costs by up to 50% (based on average radiologist fees), making diagnostics more accessible and affordable. In addition to mitigating the radiologist shortage, the system adds a reliable layer of diagnostic support, reducing the risk of missed findings and costly medical errors—which can lead to financial liabilities in the range of millions of euros annually.
Worldwide – 115 Million Brain CT Scans Per Year
Globally, medical centers perform over 425 million CT scans per year. Approximately 27% are dedicated to brain imaging, resulting in around 115 million brain CT scans annually. This reflects a consistent global reliance on CT for diagnosing neurological conditions, especially in acute and emergency settings.
Europe – 39 Million Brain CT Scans Per Year
Medical centers across Europe perform approximately 130 million CT scans annually. About 30% of these are brain CT scans, totaling nearly 39 million each year. Brain imaging remains a critical diagnostic service, especially for stroke, trauma, and neurological assessments.
Africa – 18 Million Brain CT Scans Per Year
In African medical centers – spanning North Africa, the MENA region, and Sub-Saharan Africa – an estimated 33.5 million CT scans are conducted annually. On average, 55% of these are brain CT scans, equating to 18 million brain scans each year. This high proportion underscores the urgent clinical demand for neuroimaging in emergency care and under-resourced environments.
United States – 24 Million Brain CT Scans Per Year
U.S. medical facilities perform around 93 million CT scans annually. Of these, 26% are brain CT scans, accounting for 24 million procedures. American medical centers are among the world’s most active in CT utilization, supported by robust healthcare infrastructure and widespread access.
BrainScan CT is currently used by 26 medical facilities in Poland, including major hospitals and top teleradiology centers, some of which process up to 3,000 CT scans per month. The company’s direct-to-hospital sales model offers flexible pricing through pay-per-scan and subscription options. Internationally, BrainScan CT has been implemented in four additional facilities across Europe and Morocco and is currently under evaluation by a leading NHS-affiliated radiologist in the UK.
Global expansion is supported through partnerships with platforms like DeepC and Aidoc. BrainScan is finalizing a commercial agreement with LMU Hospital in Munich for over 10,000 annual scans. Aidoc, serving over 1,000 medical institutions worldwide, is integrating BrainScan CT into its aiOS platform as part of a broader commercialization plan. The company is also participating in tenders across the DACH region, Bulgaria, Spain, Belgium, and the UAE, and has completed due diligence with Philips to offer bundled solutions with their CT scanners.
To date, BrainScan CT has processed over 200,000 CT scans, positioning the platform at the forefront of AI-powered radiology diagnostics. Since its early-stage deployment in 2023, BrainScan CT has been adopted by more than 40 medical clients, including local hospitals and leading international teleradiology providers. The platform supports healthcare facilities in scaling diagnostic capacity while improving accuracy and efficiency.
Understanding the need for rigorous evaluation of new technologies, BrainScan CT offers free trial periods to allow clients to assess performance and integration within existing clinical workflows. Currently, around 20% of all processed examinations are fully paid, aligning with industry benchmarks for AI adoption in radiology. The company projects a significant increase in commercial conversions in 2025, targeting over 100,000 additional paid scans by year-end.
BrainScan CT currently maintains 8 active commercial agreements and has a strong sales pipeline of 35 potential clients (8 international, 27 Polish), either in trial programs or advanced discussions. As paid utilization grows, BrainScan CT continues to expand its footprint as a trusted AI solution for scalable, high-volume CT scan interpretation.
