Pathology and Artificial Intelligence
Pathology artificial intelligence (AI) refers to advanced technologies that enable the digital analysis of tissue, cell, and fluid samples. Thanks in particular to digital pathology and machine learning algorithms, microscopic images can now be evaluated much more quickly, accurately, and consistently.
Pathology Artificial Intelligence
AI can distinguish cancerous cells from normal tissue. It can automatically identify features such as tumor grading, mitotic activity analysis, and necrosis.
For example, in breast cancer, biomarkers such as hormone receptor status and HER2 expression can be assessed using AI. Molecular subtype prediction is possible (e.g., subtypes of lung adenocarcinoma). AI algorithms can make predictions about the course of the disease (prognosis). They can predict the response to treatment (such as sensitivity to chemotherapy).
Features
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Cancer diagnosis and staging
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Evaluation of biopsy and cytology specimens
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Analysis of immunohistochemical stains
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Calculation of tumor cell density and proliferation indices
In Which Patients Is It Used?
Patients with Suspected Cancer, Patients Who Have Undergone a Biopsy, Patients from Whom Cytology Samples Have Been Taken, Neuropathology Patients, Patients with Inflammatory and Chronic Diseases, Patients Requiring Immunohistochemical Examination, Patients Undergoing Screening
