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

Cancer Center – Driven by Intelligence

Cancer Center - Driven by Intelligence Cancer Center attended Made in Wrocław Driven by Intelligence conference on the 20th of October, 2021. The event can be described in few numbers. To point out 4 discussion panel, 23 panelists, over 300 participants and 20 000...

ICPC 2021 Winners

ICPC 2021 Winners ICPC 2021 winners belong to Cancer Center team. That is to say, the team from the University of Wrocław, consisting of two developers from Cancer Center: Jarosław Kwiecień and Adam Zyzik, won the SILVER medal at the ICPC World Finals. To clarify,...

PET Analysis

PET Analysis process description PET (Positron Emission Tomography) and CT (Computed Tomography) are both standard imaging tools. Physicians use them to pinpoint disease states in the body. A CT scan identifies a suspected tumor. The PET scan confirms if the tumor is...

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