Artificial intelligence-assisted early screening of acute promyelocytic leukaemia in blood smears: a prospective evaluation of MC-100i
MC-100i is an effective tool for identifying abnormal promyelocytes in blood smears and assisting in the early screening of APL. It is useful when experienced morphological experts or advanced tests are not available.
Authors
- Qiuyi Lin
- Hongxia Tan
- Fengying Wu (ORCID: https://orcid.org/0000-0001-5129-0528)
- Meiqi Song
- Cungeng Yang (ORCID: https://orcid.org/0009-0001-8169-7107)
- Pingjuan Liu (ORCID: https://orcid.org/0000-0001-8824-5851)
- F.S. Zhang (ORCID: https://orcid.org/0009-0007-6968-7997)
- Yang Wang (ORCID: https://orcid.org/0009-0004-1383-4642)
- Junxun Li (ORCID: https://orcid.org/0000-0003-0636-9506)
- Liubing Li (ORCID: https://orcid.org/0000-0002-4117-3819)
- Jieyu Zhan (ORCID: https://orcid.org/0009-0003-8683-8081)
- Qiu Li
- Jiahang Zhang (ORCID: https://orcid.org/0000-0002-2683-4068)
- Shi Zhong (ORCID: https://orcid.org/0000-0002-9924-1802)
- Jing Cheng (ORCID: https://orcid.org/0009-0008-6150-4583)
- Meinan Wang (ORCID: https://orcid.org/0009-0001-1978-7224)
Institutions
- Sun Yat-sen University (CN)
- Guangdong Medical College (CN)
- Shantou University (CN)
- Nanfang Hospital (CN)
- Second Affiliated Hospital of Shantou University Medical College (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
- Mindray (China) (CN)
- Nanfang College Guangzhou
- Southern Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-04-07
- DOI
- https://doi.org/10.3389/fonc.2025.1572838
- Citations
- 1
- Primary Topic
- Digital Imaging for Blood Diseases
- Type
- article
- Field-Weighted Citation Impact
- 1.28