x-focus.ai is an artificial intelligence company

dedicated to improve healthcare


x-focus.ai  Solutions

Radiology - Pathology - Neurophysiology

x-focus neuro

  • AI Based Volumetric Analysis & Monitoring of Brain MRI Images
  • AI Based WMH Lesion Detection on Brain MRI Images
  • Module in use

x-focus pulmnod

  • AI-powered Solution for Pulmonary Nodule Detection
  • Module in use


x-focus pulthormb

  • Pulmonary Thromboembolism Detection and Analysis
  • Module at Test Phase

x-focus mln

  • Mediastinal Lymph Node Detection and Analysis
  • Module under development

x-focus idl

  • Interstitial Lung Diseases Detection and Analysis
  • Module under Development

x-focus prostate

  • Segmentation of prostate gland and zones
  • Module under Development

x-focus path 

  • Detection of CMV at histopathology images
  • Module in use

x-focus neurophys

  • Module under Development
Our Solutions

Alata

Alice

Open Sans

Noto Sans

Bebas Neue

Great Vibes

Rock Salt

Exo

Belgrano

Overlock

Cinzel

Indie Flower

Staatliches

Roboto Slab

Lato

Noto Serif

Open Sans

Montserrat

Ubuntu

Rubik

Delius

Amiri

Montserrat

Spearheading the AI evolution in Radiology

1300+ Validated Patient Cases 

3 University Hospital Research Partnerships

4 R&D Grants received (Total Value of 1,5M USD)

1 Presented Research Study

x-focus.ai combines best in class medical expertise with cutting edge AI capabilities to ensure precision and speed

About Us

Developed with best in class AI experts, Radiologist and other Medical Doctors

I have been working with the x-focus.ai team for over 2 years in the field of nodule detection systems. Their scientific approach, as well as their process-oriented AI solutions using the latest technologies, are very successful



Associate Professor MD Sinem Gezer

Dokuz Eylül University Medical Faculty

Department of Radiology

Artificial intelligence algorithms are greatly beneficial in helping us detect diseases by performing fast and efficient analyses within radiological images. We have been working with the x-focus.ai team for over 2 years to create the most effective algorithms

Associate Professor Ender Konukoglu

Biomedical Image Computing at ETH Zurich
Head of Computer Vision Laboratory



It is possible to achieve fast and efficient results in the field of radiology by using artificial intelligence. I am extremely pleased to be part of the work in interstitial lung diseases with the x-focus.ai team


Associate Professor MD  Gamze Durhan

Hacettepe Üniversitesi Medical Faculty 

Department of Radiology