Cancer Center
AI in Oncology,
Pathology & Radiology

Medical Image + Deep Learning Algorithm = Faster Cancer Diagnosis with Better Efficacy

AI in digital Pathology

Faster and better tissue examination

AI in digital Radiology

Greater productivity in DICOM analysis

Custom AI Algorithm

Deep Learning and Artificial Intelligence on your service

Cancer Center – AI in Oncology benefits

Using AI and Deep Learning in Cancer Diagnosis makes the whole treatment much more efficient. Specialized algorithmic solutions analyze medical images for pathology and radiology. Althought AI will never replace doctors, it may significantly improve their tasks. Firstly, algorithms are more accurate than human eye. Secondly, they are much faster. In short, benefits are numerous for all involved groups.

  1. Store vast amounts of image
  2. View images from many access points simultaneously
  3. Improve doctor to doctor cooperation within the organization as well as outside
  4. Make use of computer aided intervention tools and share the results easily
  5. Increase output by detecting more cases in less time
  6. Improve patient outcomes thanks to personalized therapies
  7. Enhance service quality – faster and accurate diagnosis
  8. Save on cost and time by reducing patient length-of-stay and minimizing resources required to treat a patient
  9. Enhance staff satisfaction by reducing manual, repetitive tasks and preventing physician burn out
  1. View picture as a data
  2. Work more efficiently and diagnose more patients in less time by speeding up case review
  3. Describe every image with a plurality of relevant attributes like: size, location and morphology
  4. Use a formal, accessible, shared, and broadly applicable language for diagnose representation
  5. Extract qualitative and quantitative characteristics out of medical images using different modalities including CT, MR, PET, etc.
  6. Exchange knowledge
  7. Improve accuracy and compare diagnosis
  8. Get more free time for rest… or more complex cases
  1. Compare with algorithmic solutions
  2. See other cases
  3. Share experience with other patients
  4. Get your diagnosis and results faster
  5. Receive more effective treatment thanks to precise diagnosis and personalized therapies
  6. No more misdiagnosis and unnecessary surgeries or procedures

Cancer Center – News about AI in Oncology

The LifeScience Krakow Cluster – new partner

The LifeScience Krakow Cluster - Cancer Center new partner Cancer Center has a new partner - the LifeScience Krakow Cluster. In order to obtain a partnership Cancer Center had to fulfil the requirement. To clarify, we provided letters of support, application documents...

Gleason score 3+4 or other

Gleason score 3+4 and others mapped in PathoPlatform Run PathoPlatform to see how AI and deep learning can help pathologists make more accurate and faster diagnosis. To clarify, our developers team introduced new feature in the "Algorithm" tab. Pathologists can now...

Cancer Center in Wolves Summit Finals

Wolves Summit Finals Cancer Center was once again a finalist. This time of Great Pitch Contest Startup organised during Wolves Summit Finals. The hybrid conference took place on October 19-21th in Wroclaw, Poland. To clarify, Wolves Summit has selected more than 1,000...

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