We add value to present radiology workflow to prevent under-reporting problem and prioritizing patients using augmented intelligence, by auto detecting up to 12 brain lesions


The global CT scanners market size is poised to grow by USD 1.79 billion during 2020-2024

Projected increase: CAGR of 6.5% by 2026..

23 million brain computed tomographies a year

52 million CT scans are performed annually, and over 51 million within the EEA


High number of tests

There is a much higher rate of computed tomography examinations in the US. 7084 brain tests per 100,000 persons, and in Poland that amounts to 765 examinations per 100,000 people.

Diagnosis takes to long

There is a lack of 16,000 radiologists in Great Britain alone. Specialists need tools that will speed up the interpretations process and reduce the likelihood of misdiagnosis.

Errors in interpretations

As much as 60% of CT imaging tests are those of the brain, and at that scale, errors in interpretations reach 20%.

Based on the analysis of more than 246 108 brain CT scans, we developed a CE certified system

Dataset Q2'2021


Providers # of all examinations
Data source A 35 432
Data source B 37 004
Data source C 7 613
Data source D 27 495
Data source E 31 000
Data source F 70 000
Data source G 37 564
Total 246 108

Dataset Q4'2021


Providers # of all examinations
Data source A 71 291
Data source B 48 840
Data source C 14 864
Data source D 39 674
Data source E 32 705
Data source F 70 000
Data source G 37 564
Total 314 938


BrainScan system based on Artificial Intelligence enables automatic detection and classification of pathological changes occurring in CT examinations of the brain. That Provides doctors with additional information that allows for a faster and more efficient interpretations.

We help radiologists interpret brain CT scans faster and more confidently by using machine learning methods to generate valuable data.

How does it work?

CT Scanning
The series of scans from the machine is sent as DICOM files to the PACS server. The script filters all brain CT scans. Anonymizes them and forward to the BrainScan Cloud.
Algorithms powered by Artificial Intelligence automatically analyze scans finding potential pathological changes. The results are saved in a form of infographic and are visible by the doctors as the next serie in the study and saved in a DICOM file.
The results of the analysis in a form of infographic (an additional series saved in the DICOM file) and in a structured text form (JSON file) are returned to the PACS server from which they were sent. The advantages of a form of infographic is that it is available in every DICOM viewers used by doctors.

The effectiveness of our algorithms

Classifier assessment based on ROC - Area Under the Curve (AUC) The ROC curve is one way to visualize the quality of the classification, showing the relationship between TPR (True Positive Rate) and FPR (False Positive Rate) ratios. Classifier assessment based on ROC - Area Under ROC Curve.


BrainScan CT - decision support system for the interpretation of head computed tomography based on machine learning is a medical product labeling the CE2274 mark.

BrainScan company develope a high quality product, as evidenced by received certificates confirming compliance with the requirements of the ISO13485: 2016 standard and the requirements of the MDD 93/42 / EEC Directive ».



  • Shorter time between examination and scan description
  • Early alert - detailed auto-detection of pathological changes

  • Increased number of analysed CT scans in time unit, cause higher efficiency of radiologists.
  • Downsed error level of incorrect diagnosis by omitting existing pathological changes in the CT scans.
  • Empowering the image of the facility through the use of the latest technologies and scientific achievements.

  • Double verification of the diagnosis
  • Increased work efficiency, give human beings more time to analyze much more difficult cases


Awards & prizes
Registration address:

BrainScan Sp. z o. o.
Szkolna 10/1
81-363 Gdynia
NIP: PL5862321880
Correspondence address (offices):

BrainScan Sp. z o. o.
ul. Kieturakisa 10/14
80-741 Gdańsk

BrainScan Sp. z o.o. implements the project "BrainScan - a system for automatically supporting medical diagnostics, detection and location of potential pathological changes occurring in imaging of the head", co-financed under the Intelligent Development Operational Programme 2014-2020 (IDOP) measure 1.1 / sub-measure 1.1.1 co-financed by the European Regional Development Fund (ERDF). Application # POIR.01.01.01-00-0573 / 18.