Myelodysplastic Syndrome and Artificial Intelligence

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.

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Publication Details

Journal
Turkish Journal of Clinics and Laboratory
Published
2024-12-24
DOI
https://doi.org/10.18663/tjcl.1577122
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
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article

Myelodysplastic Syndrome and Artificial Intelligence

Fatma Yılmaz
Turkish Journal of Clinics and Laboratory
Acute Myeloid Leukemia Research
article

Myelodysplastic Syndrome and Artificial Intelligence

Fatma Yılmaz
article en

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.

Turkish Journal of Clinics and LaboratoryVol. 15(4)
Memorial Ankara Hospital (TR)
Good health and well-being
Openalex Percentile: Top 56%
Acute Myeloid Leukemia Research
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Myelodysplastic Syndrome and Artificial Intelligence — Fatma Yılmaz · Turkish Journal of Clinics and Laboratory (2024) | TGRS Research Map | TGRS