Establishment and verification of the model in diagnosis of thalassemia trait based on red blood cell parameters: A two-center retrospective study

The deployed ML-based AI Lab represents a robust, interpretable, and scalable tool poised to enhance TT screening efficiency and accessibility, particularly in underserved healthcare environments.

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Publication Details

Journal
Digital Health
Published
2025-05-01
DOI
https://doi.org/10.1177/20552076251393429
Primary Topic
Hemoglobinopathies and Related Disorders
Type
article
Field-Weighted Citation Impact
0.00
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article

Establishment and verification of the model in diagnosis of thalassemia trait based on red blood cell parameters: A two-center retrospective study

Baoru Han, Hongyou Chen, Ke Wu, Shan Wang et al.
Digital Health
Hemoglobinopathies and Related Disorders
article

Establishment and verification of the model in diagnosis of thalassemia trait based on red blood cell parameters: A two-center retrospective study

Baoru Han, Hongyou Chen, Ke Wu, Shan Wang, Yulong Liu, Jin Li, Jing Yang, Wen Zhang
article en

Abstract

The deployed ML-based AI Lab represents a robust, interpretable, and scalable tool poised to enhance TT screening efficiency and accessibility, particularly in underserved healthcare environments.

Digital HealthVol. 11
The Affiliated Yongchuan Hospital of Chongqing Medical University (CN), Chongqing Dazu District People's Hospital (CN), Chongqing Medical University (CN)
Openalex Percentile: Top 50%
Hemoglobinopathies and Related Disorders
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Establishment and verification of the model in diagnosis of thalassemia trait based on red blood cell parameters: A two-center retrospective study — Baoru Han, Hongyou Chen, et al. · Digital Health (2025) | TGRS Research Map | TGRS