2024 - Using Prognostic AI Models in Pathology: Case Colorectal Cancer

Discover an informative webinar on how artificial intelligence (AI) can aid oncologists and pathologists working in the gastrointestinal field.
In this webinar, the speakers will focus on an AI model that identifies important histological features of colorectal cancer (CRC) and provides a recurrence prediction estimate that can be useful for making treatment decisions.
There is tremendous morphologic heterogeneity in colorectal carcinoma, which can be helpful for predicting prognosis, underlying molecular alterations and determining the response to specific therapies. QuantCRC, a deep learning segmentation algorithm, harnesses quantitative data from digitized hematoxylin and eosin (H&E)-stained slides to improve the prediction of tumor recurrence using the Aiforia® Platform.
The AI model identifies clinically relevant prognostic risk groups, providing a powerful adjunct to routine pathologic reporting of CRC.
By attending this webinar, the attendees will gain insights into:
Current state of CRC pathology and pathologic features that guide oncologic decision-making
How an AI-integrated risk scheme using available, inexpensive (H&E)-stained slides can improve risk assessment for cancer patients
Register for this webinar today to learn about the exciting case of AI in pathology and how prognostic AI models are revolutionizing the future of pathology image analysis.
Keywords: Oncology, Biomarkers, Digital Health, Pathology, Medical Imaging, Clinical Data, Diagnostics, Therapeutic Areas, Imaging, Laboratory Technology, AI, Digital Pathology, Pre-Clinical, Other Software