Application of Artificial Intelligence in Lymphoid Tissue Tumor Diagnosis

Lesions of lymphoid and hematopoietic tissue are the leading cause of mortality in young population among all malignant entities. To support the patients it should provide timely a reliable verification, which is the task of pathology service. Along with increasing of morbidity and mortality from malignant entities also the burden on pathologists is increasing. High work-flow on physicians combined with lack staffing remain urgent problems in healthcare. Currently, the application of artificial intelligence (AI) to laboratory practice plays a crucial role in medicine. The application of software with generative pre-trained model can support a pathologist in the interpretation of histological pattern and diagnosis of lymphatic system tumor in both surgical and biopsy samples. Diagnostic decision support improves a quality and accuracy of diagnosis and optimize the work process. Abstract review provides an analysis of recent scientific studies investigating the potential use of AI in the diagnosis of malignant entities of lymphoid and hematopoietic tissue.