From microscope to micropixels: A rapid review of artificial intelligence for the peripheral blood film.
Blood Rev
; 64: 101144, 2024 Mar.
Article
en En
| MEDLINE
| ID: mdl-38016837
ABSTRACT
Artificial intelligence (AI) and its application in classification of blood cells in the peripheral blood film is an evolving field in haematology. We performed a rapid review of the literature on AI and peripheral blood films, evaluating the condition studied, image datasets, machine learning models, training set size, testing set size and accuracy. A total of 283 studies were identified, encompassing 6 broad domains malaria (n = 95), leukemia (n = 81), leukocytes (n = 72), mixed (n = 25), erythrocytes (n = 15) or Myelodysplastic syndrome (MDS) (n = 1). These publications have demonstrated high self-reported mean accuracy rates across various studies (95.5% for malaria, 96.0% for leukemia, 94.4% for leukocytes, 95.2% for mixed studies and 91.2% for erythrocytes), with an overall mean accuracy of 95.1%. Despite the high accuracy, the challenges toward real world translational usage of these AI trained models include the need for well-validated multicentre data, data standardisation, and studies on less common cell types and non-malarial blood-borne parasites.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Leucemia
/
Malaria
Tipo de estudio:
Systematic_reviews
Límite:
Humans
Idioma:
En
Revista:
Blood Rev
Asunto de la revista:
HEMATOLOGIA
Año:
2024
Tipo del documento:
Article