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Fan BE, Yong BSJ, Li R, Wang SSY, Aw MYN, Chia MF, Chen DTY, Neo YS, Occhipinti B, Ling RR, Ramanathan K, Ong YX, Lim KGE, Wong WYK, Lim SP, Latiff STBA, Shanmugam H, Wong MS, Ponnudurai K, Winkler S. From microscope to micropixels: A rapid review of artificial intelligence for the peripheral blood film. Blood Rev 2024; 64:101144. [PMID: 38016837 DOI: 10.1016/j.blre.2023.101144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 11/12/2023] [Accepted: 11/14/2023] [Indexed: 11/30/2023]
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.
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Affiliation(s)
- Bingwen Eugene Fan
- Department of Haematology, Tan Tock Seng Hospital, Singapore; Department of Laboratory Medicine, Khoo Teck Puat Hospital, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
| | - Bryan Song Jun Yong
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Ruiqi Li
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | | | | | - Ming Fang Chia
- Department of Haematology, Tan Tock Seng Hospital, Singapore
| | | | - Yuan Shan Neo
- ASUS Intelligent Cloud Services, Singapore, Singapore
| | | | - Ryan Ruiyang Ling
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kollengode Ramanathan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Cardiothoracic Intensive Care Unit, National University Heart Centre, National University Hospital, Singapore, Singapore
| | - Yi Xiong Ong
- Department of Laboratory Medicine, Tan Tock Seng Hospital, Singapore
| | | | | | - Shu Ping Lim
- Department of Laboratory Medicine, Tan Tock Seng Hospital, Singapore
| | | | | | - Moh Sim Wong
- Department of Laboratory Medicine, Khoo Teck Puat Hospital, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kuperan Ponnudurai
- Department of Haematology, Tan Tock Seng Hospital, Singapore; Department of Laboratory Medicine, Khoo Teck Puat Hospital, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Stefan Winkler
- ASUS Intelligent Cloud Services, Singapore, Singapore; School of Computing, National University of Singapore, Singapore
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Fan BE, Kwok NTE, Chen DTY, Kuperan P, Abdul Latiff STB, Wong MS, Ong YX, Lim KGE, Wong WYK, Lim SP, Yong BSJ, Shanmugam H, Neo YS, Ong YPJ, Winkler S. Artificial intelligence-generated peripheral blood film images using generative adversarial networks and diffusion models. Am J Hematol 2023; 98:1499-1502. [PMID: 37421598 DOI: 10.1002/ajh.27018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 06/16/2023] [Accepted: 06/21/2023] [Indexed: 07/10/2023]
Affiliation(s)
- Bingwen Eugene Fan
- Department of Haematology, Tan Tock Seng Hospital, Singapore
- Department of Laboratory Medicine, Khoo Teck Puat Hospital, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | | | - Ponnudurai Kuperan
- Department of Haematology, Tan Tock Seng Hospital, Singapore
- Department of Laboratory Medicine, Khoo Teck Puat Hospital, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | - Moh Sim Wong
- Department of Laboratory Medicine, Khoo Teck Puat Hospital, Singapore
| | - Yi Xiong Ong
- Department of Laboratory Medicine, Tan Tock Seng Hospital, Singapore
| | | | | | - Shu Ping Lim
- Department of Laboratory Medicine, Tan Tock Seng Hospital, Singapore
| | - Bryan Song Jun Yong
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | | | | | | | - Stefan Winkler
- ASUS Intelligent Cloud Services (AICS), Singapore
- School of Computing, National University of Singapore, Singapore
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Fan BE, Chen DTY, Ponnudurai K, Abdul Latiff STB, Wong MS, Ong YX, Lim KGE, Wong WYK, Chiang PWE, Lim SP, Shanmugam H, Neo YS, Kwok NTE, Winkler S. Artificial intelligence generated leukemia cell images. Am J Hematol 2023. [PMID: 37118981 DOI: 10.1002/ajh.26942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 04/18/2023] [Indexed: 04/30/2023]
Affiliation(s)
- Bingwen Eugene Fan
- Department of Haematology, Tan Tock Seng Hospital, Singapore
- Department of Laboratory Medicine, Khoo Teck Puat Hospital, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | - Kuperan Ponnudurai
- Department of Haematology, Tan Tock Seng Hospital, Singapore
- Department of Laboratory Medicine, Khoo Teck Puat Hospital, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | - Moh Sim Wong
- Department of Laboratory Medicine, Khoo Teck Puat Hospital, Singapore
| | - Yi Xiong Ong
- Department of Laboratory Medicine, Tan Tock Seng Hospital, Singapore
| | | | | | | | - Shu Ping Lim
- Department of Laboratory Medicine, Tan Tock Seng Hospital, Singapore
| | | | | | | | - Stefan Winkler
- ASUS Intelligent Cloud Services (AICS), Singapore
- School of Computing, National University of Singapore, Singapore
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