Faster cancer detection with Artificial Intelligence
CancerCenter.ai – Faster cancer detection with Artificial Intelligence
With the help of AI, our Cancer Center AI web platform assists pathologists in making faster and more accurate diagnoses through specialized modules. Our platform offers an intuitive file browser and viewers for pathology and also radiology data.
Features:
- PathoCam: save pathology images by using your own microscope equipment.
- Patho Module: web viewer to analyze, annotate and comment cases.
- Radiology Module: DICOM web viewer to analyze Radiology images (MRI, CT, USG others).
- Advanced AI Algorithms i.e: Gleason score, ki67, Metastasis, etc.
- Collaborative and Remote Diagnostics: The sharing features of our platform allow for easy and secure collaboration with colleagues, whether they are in the next room or another country, fostering a more effective and interactive diagnostic process.
- Accelerated and Standardized Reporting: With integrated ICCR, WHO or custom report templates.
- Robust Security: Our platform employs SSL encryption and other cutting-edge security measures to ensure the privacy and integrity of your sensitive data.
- Scanner Integration Options: Our platform can integrate with any scanner, ensuring that your existing equipment is part of your streamlined, digital workflow, thereby saving costs and avoiding the hassle of changing hardware.
Dr. Artur Bartczak
Pathologist and the Head of the Department of Pathology at the Public Specialist Hospital of Lung Diseases
Presentation Title: How we transform classic pathology into digital pathology – case studies from Pathology Department in Zakopane Poland
Mr. Jarosław Kwiecień
Cancer Center Co-Founder and CTO
Dr. Artur Bartczak
Pathologist and the Head of the Department of Pathology at the Public Specialist Hospital of Lung Diseases
Presentation Title: Practical view of using AI in a pathology field and prostate cancer
Mr. Jarosław Kwiecień
Cancer Center Co-Founder and CTO
Cancer Center.AI – 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.
Medical Facilities:
- Store vast amounts of image
- View images from many access points simultaneously
- Improve doctor to doctor cooperation within the organization as well as outside
- Make use of computer aided intervention tools and share the results easily
- Increase output by detecting more cases in less time
- Improve patient outcomes thanks to personalized therapies
- Enhance service quality – faster and accurate diagnosis
- Save on cost and time by reducing patient length-of-stay and minimizing resources required to treat a patient
- Enhance staff satisfaction by reducing manual, repetitive tasks and preventing physician burn out
- Compare with algorithmic solutions
- See other cases
- Share experience with other patients
- Get your diagnosis and results faster
- Receive more effective treatment thanks to precise diagnosis and personalized therapies
- No more misdiagnosis and unnecessary surgeries or procedures
Jarosław Kwiecień:
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Jarosław Kwiecień is a CTO of CancerCenter.ai, the company founded to improve cancer diagnostics by developing innovative IT solutions. During his education he has achieved success in many programming competitions, including 1st place (twice) in a famous Polish competition “Algorithmic Engagements”, 4th and 5th place in academic worldwide competition “ACM ICPC”. Furthermore he was awarded 3rd prize for the best Master’s thesis
in Computer Science in Poland. In CancerCenter he’s involved in both Data Science/Machine learning and software development process, creating a brand new system for digital pathology and radiology.
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Dr. Artur Bartczak is a pathologist and the Head of the Department of Pathology at the Public Specialist Hospital of Lung Diseases (Zakopane-Poland), where he conducts diagnostic, scientific and teaching activities. His subspecialties are: molecular and digital pathology, lung pathology, gastrointestinal pathology, breast pathology, cytopathology and uropathology. In the past he has combined lecturing and research activities on the assistant position at the Medical Center for Postgraduate Education.
He is the author and co-author of many publications. Since 2015, he has been the editor of Translational Research in Anatomy, Elservier B. V. He is a member of many domestic and foreign scientificic societies, including: Polish Society of Pathologists, European Society of Pathology and United States and Canadian Academy of Pathology. He has regularly organized and hosted many scientific conferences, including: Polish Pathology Days.
Emirates Pathology, Digital Pathology & Cancer Conference, which is recognized by CME/CPD
In-person Registration Here: https://pathology.universeconferences.com/registration/
Online Registration Here: https://pathology.universeconferences.com/online-registration/
If you have any questions, WhatsApp us at https://wa.me/442033222718?text=