Digital pathology has a crucial role in diagnostic pathology and is increasingly a technological requirement in the field. Integration of digital slides into the pathology workflow, advanced algorithms, and computer-aided diagnostic techniques extend the frontiers of the pathologist's view beyond the microscopic slide and enable true integration of knowledge and expertise. There is clear potential for artificial intelligence (AI) breakthroughs in pathology and hematopathology. This webinar will discuss the approach of using machine learning in the diagnosis, classification, and treatment guidelines of hematolymphoid disease, as well as recent progress of artificial intelligence in flow cytometric analysis of hematolymphoid diseases. Adoption of these new technologies will allow pathologists to streamline workflow and achieve faster turnaround time in diagnosing hematological disease.

Learning objectives

-Review the latest advancements in digital imaging technologies for pathology and hematology, including whole slide imaging, digital microscopes, and advanced Artificial Intelligence application.

- Understand the role of Artificial Intelligence in hematopathology, focusing on its applications in diagnostics, comparing its accuracy and efficiency to traditional methods.

- Investigate how AI/ML streamlines laboratory workflows in hematopathology, enhancing efficiency, reducing error, and improving overall diagnostic turnaround time.

- Evaluate challenges and limitations in transitioning from manual microscopy to digital imaging, including validation, training, technology integration into current practices and FDA regulations