Artificial intelligence differentiates prefibrotic primary myelofibrosis with thrombocytosis from essential thrombocythemia using digitized bone marrow biopsy images
An article just published in Leukemia, provides a window into how the future might look for interpreting complex bone marrow biopsies and enabling even more accurate diagnoses in MPN patients.
The authors explain that:
‘Prefibrotic primary myelofibrosis (prePMF) and essential thrombocythemia (ET) are distinct myeloproliferative neoplasms (MPNs) with overlapping clinical features, often leading to diagnostic uncertainty.’
The authors conclude:
‘In summary, we have developed a highly accurate AI model that distinguishes prePMF from ET with automated bone marrow analysis. Our model was developed on an open-source framework that could be readily deployed in a rapid and affordable manner for patients with these possible MPN diagnoses.’
The full article is freely available HERE.
