@article{article_1577122, title={Myelodysplastic Syndrome and Artificial Intelligence}, journal={Turkish Journal of Clinics and Laboratory}, volume={15}, pages={680–680}, year={2024}, DOI={10.18663/tjcl.1577122}, author={Yılmaz, Fatma}, keywords={myelodisplastic syndrom, artificial intelligence}, abstract={In the artificial intelligence that will be used in the diagnosis of MDS, the accuracy rate will increase if the database includes all the factors that are effective in the diagnosis and risk classification as much as possible. Artificial intelligence applications that will be implemented using a database that includes as many factors as possible can guide the clinician in the diagnosis of MDS and even in individual treatment choices. Studies with as many patients as possible are needed on this subject.}, number={4}, publisher={DNT Ortadoğu Yayıncılık A.Ş.}, organization={none}