AI solution for emergency diagnosis in cranial CT scans

qER™ is a tool that assists radiologists and emergency services in the detection of brain pathologies. qER™ analyses the CT scan, detects, locates and quantifies several brain pathologies such as hemmoragia or skull fractures, and integrates the result into the radiologist’s usual reading environment.

Automatic detection, localization and longitudinal monitoring of urgent and critical brain pathologies for the patient

qER detects intracerebral bleeding and its subtypes, heart attacks, tumor mass effects, midline deviation, atrophies and cranial fractures.

Automatic classification and sorting of abnormal exams within a worklist

The qER algorithm gives radiologists and emergency physicians a comprehensive overview of all exams with AI results during the day. Critical cases are highlighted and instantly identifiable

Automated production of a report integrating an annotated image, and detected and localized pathologies.

qER generates a pre-filled report that contains annotated images, information on the urgency or criticality of the exam, as well as any anomalies detected and their location.

  • brain pathologies
  • bleeding
  • heart attacks
  • atrophies
  • cranial fractures
  • x-ray
  • detection

Prioritize patient flow


Prioritize patient flow in emergency settings and improve patient care thanks to this AI triage assistant tool.

Save time


Save time thanks to an automated detection of certain brain pathologies.

Integrate in your infrastructure


Integrate AI support directly into your existing infrastructure and into your regular clinical workflow.

Save time, reassure your diagnosis and streamline your workflow with Incepto


C’est l’un des plus grands progrès de l’AI en radiologie à ce jour, parce qu’il élargit le deep learning à l’orientation d’urgence pour de nombreux scans cérébraux.

Dr Eric Topol,

Scripps, USA


  1. National trends in use of computed tomography in the emergency department. Kocher, K. E. et al. Ann. Emerg. Med 58, 452–462 (2011).
  2. Development and Validation of Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans. S. Chilamkurthy, et al. https://doi.org/10.1371/journal.pone.0204155
  3. Chilamkurthy, Sasank, Rohit Ghosh, Swetha Tanamala, Mustafa Biviji, Norbert G Campeau, Vasantha Kumar Venugopal, Vidur Mahajan, Pooja Rao, and Prashant Warier. “Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans: A Retrospective Study.” The Lancet 392, no. 10162 (December 2018): 2388–96. https://doi.org/10.1016/S0140-6736(18)31645-3.
  4. Artificial intelligence pinpoints nine different abnormalities in head scans. Emily Mullin. Nature Medicine (2018). 10.1038/d41591-018-00003-4.

Qure.ai was founded in 2016 by an Indian team whose founders came from the Georgia Institute of Technology and the Max Planck Research Institute. The company’s mission is to use artificial intelligence to make healthcare more accessible and affordable. Their team combines unique expertise in data science with clinical and scientific knowledge, which has already enabled them to publish in major scientific journals such as the Lancet and Radiology. Very active and recognised in global tuberculosis screening programmes, they are committed to designing concrete solutions to a range of clinical questions.

The qER medical device is a regulated healthcare product bearing the CE mark, Class IIa. Notified body: TÜV SÜD. n°0123. Manufacturer : Qure.ai Technologies.qER is a diagnostic aid and cannot be used on its own to recommend medical management for diagnostic purposes. Please read the instructions in the user manual carefully.

Please contact contact@incepto-medical.com for further information. Last update : 25/03/2024

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