In a recent webinar: "Making Science Out of Art, Digitization, and Context in Full Field Morphological Hematology", one of the world’s leading experts in hematology provided her perspective on the integration of digital blood sample review and expertise, presenting three fascinating case studies that illustrate how the art and science of diagnostic hematology can work together for the good of patients.
In a world that demands meticulous attention to detail and accuracy, the speciality of hematology is certainly no exception. The accuracy of platelet (PLT) estimates from peripheral blood smears is essential for reliable reporting. Presence of PLT clumps can introduce uncertainty, compromising the reliability of numerical estimates generated by automated whole blood analyzers. To address this, an effective system should be able to detect and identify PLT clumps with a sensitivity approaching 100%.
In today’s world it is all eyes on AI with Artificial Intelligence having catapulted us into a new fast-paced reality. This tenet holds especially true within the healthcare setting, whereby this transformative force holds the golden promise of heightened diagnostic accuracy, reduced costs, and improved patient response times and treatment outcomes.
