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Critical Reviews in Clinical Laboratory Sciences Volume 58, 2021 - Issue 2
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Invited Review Articles

Recent evolutions of machine learning applications in clinical laboratory medicine

Sander De Bruynea Department of Diagnostic Sciences, Ghent University, Ghent, BelgiumORCID Iconhttps://orcid.org/0000-0002-9041-4404View further author information
ORCID Icon,
Marijn M. Speeckaertb Department of Nephrology, Ghent University Hospital, Ghent, BelgiumORCID Iconhttps://orcid.org/0000-0001-9183-4390View further author information
ORCID Icon,
Wim Van Biesenb Department of Nephrology, Ghent University Hospital, Ghent, BelgiumORCID Iconhttps://orcid.org/0000-0002-4782-5224View further author information
ORCID Icon &
Joris R. Delanghea Department of Diagnostic Sciences, Ghent University, Ghent, BelgiumCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-5702-6792View further author information
ORCID Icon
Pages 131-152 | Received 11 Jun 2020, Accepted 23 Sep 2020, Published online: 12 Oct 2020

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Hans E Comtet, Martina Keitsch & Karl-Arne Johannessen. (2022) Realities of Using Drones to Transport Laboratory Samples: Insights from Attended Routes in a Mixed-Methods Study. Journal of Multidisciplinary Healthcare 15, pages 1871-1885.
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Articles from other publishers (22)

Sander De Bruyne, Pieter De Kesel & Matthijs Oyaert. (2023) Applications of Artificial Intelligence in Urinalysis: Is the Future Already Here?. Clinical Chemistry 69:12, pages 1348-1360.
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Hikmet Can Çubukçu, Deniz İlhan Topcu & Sedef Yenice. (2023) Machine learning-based clinical decision support using laboratory data. Clinical Chemistry and Laboratory Medicine (CCLM) 0:0.
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Issa H. Mshani, Doreen J. Siria, Emmanuel P. Mwanga, Bazoumana BD. Sow, Roger Sanou, Mercy Opiyo, Maggy T. Sikulu-Lord, Heather M. Ferguson, Abdoulaye Diabate, Klaas Wynne, Mario González-Jiménez, Francesco Baldini, Simon A. Babayan & Fredros Okumu. (2023) Key considerations, target product profiles, and research gaps in the application of infrared spectroscopy and artificial intelligence for malaria surveillance and diagnosis. Malaria Journal 22:1.
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Sander De Bruyne, Charlotte Delrue & Marijn Speeckaert. (2023) The underestimated potential of vibrational spectroscopy in clinical laboratory medicine: a translational gap to close. Clinical Chemistry and Laboratory Medicine (CCLM) 0:0.
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Mehmet Erten, Ilknur Tuncer, Prabal D. Barua, Kubra Yildirim, Sengul Dogan, Turker Tuncer, Ru-San Tan, Hamido Fujita & U. Rajendra Acharya. (2023) Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature Extraction. Journal of Digital Imaging 36:4, pages 1675-1686.
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Imma Caballé, Antonio Buño, Francisco A. Bernabeu, Francesca Canalias, Antonio Moreno, Mercè Ibarz, José Puzo, Concepción González & Álvaro González. (2023) State of affairs and future challenges in laboratory medicine in Spain: an analysis of the Spanish Society of Laboratory Medicine (SEQC ML ) . Advances in Laboratory Medicine / Avances en Medicina de Laboratorio 4:1, pages 70-80.
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Imma Caballé, Antonio Buño, Francisco A. Bernabeu, Francesca Canalias, Antonio Moreno, Mercè Ibarz, José Puzo, Concepción González & Álvaro González. (2023) Estado actual y retos futuros de la medicina de laboratorio en España: un análisis de la Sociedad Española de Medicina de Laboratorio (SEQC ML ) . Advances in Laboratory Medicine / Avances en Medicina de Laboratorio 4:1, pages 81-91.
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Dustin R. Bunch, Thomas JS. Durant & Joseph W. Rudolf. (2023) Artificial Intelligence Applications in Clinical Chemistry. Clinics in Laboratory Medicine 43:1, pages 47-69.
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Haipeng Yao & Mohsen GuizaniHaipeng Yao & Mohsen Guizani. 2023. Intelligent Internet of Things Networks. Intelligent Internet of Things Networks 1 21 .
Valery P. Mudrov. (2022) Artificial intelligence in the immunodiagnostics of chronic periodontitis. Russian Journal of Infection and Immunity 12:6, pages 1186-1190.
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Krystle L. Reagan, Jully Pires, Nina Quach & Chen Gilor. (2022) Evaluation of a machine learning tool to screen for hypoadrenocorticism in dogs presenting to a teaching hospital. Journal of Veterinary Internal Medicine 36:6, pages 1942-1946.
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He S. Yang, Daniel D. Rhoads, Jorge Sepulveda, Chengxi Zang, Amy Chadburn & Fei Wang. (2022) Building the Model. Archives of Pathology & Laboratory Medicine.
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Xiaoxia Wen, Ping Leng, Jiasi Wang, Guishu Yang, Ruiling Zu, Xiaojiong Jia, Kaijiong Zhang, Birga Anteneh Mengesha, Jian Huang, Dongsheng Wang & Huaichao Luo. (2022) Clinlabomics: leveraging clinical laboratory data by data mining strategies. BMC Bioinformatics 23:1.
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Sunday O. Olatunji, Aisha Alansari, Heba Alkhorasani, Meelaf Alsubaii, Rasha Sakloua, Reem Alzahrani, Yasmeen Alsaleem, Mona Almutairi, Nada Alhamad, Albandari Alyami, Zainab Alshobbar, Reem Alassaf, Mehwash Farooqui & Mohammed Imran Basheer Ahmed. (2022) A Novel Ensemble-Based Technique for the Preemptive Diagnosis of Rheumatoid Arthritis Disease in the Eastern Province of Saudi Arabia Using Clinical Data. Computational and Mathematical Methods in Medicine 2022, pages 1-22.
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Thomas Birk Kristiansen, Kent Kristensen, Jakob Uffelmann & Ivan Brandslund. (2022) Erroneous data: The Achilles' heel of AI and personalized medicine. Frontiers in Digital Health 4.
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Sanja Stankovic, Benoit Macq, Sergio Bernardini, Bernard Gouget, Evgenija Homsak, Pradeep Dabla & Damien Gruson. (2022) Artificial intelligence and thyroid disease management. Biochemia medica 32:2, pages 182-188.
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Loris Wauthier, Mario Plebani & Julien Favresse. (2022) Interferences in immunoassays: review and practical algorithm. Clinical Chemistry and Laboratory Medicine (CCLM) 60:6, pages 808-820.
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Wellington Francisco Rodrigues, Camila Botelho Miguel, Laís Corrêa Marques, Thiago Alvares da Costa, Melissa Carvalho Martins de Abreu, Carlo José Freire Oliveira & Javier Emilio Lazo-Chica. (2022) Predicting Blood Parasite Load and Influence of Expression of iNOS on the Effect Size of Clinical Laboratory Parameters in Acute Trypanosoma cruzi Infection With Different Inoculum Concentrations in C57BL/6 Mice. Frontiers in Immunology 13.
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Sander De Bruyne. (2021) Comment on “Computer algorithm can match physicians’ decisions about blood transfusions”. Journal of Translational Medicine 19:1.
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Amir Masoud Rahmani, Efat Yousefpoor, Mohammad Sadegh Yousefpoor, Zahid Mehmood, Amir Haider, Mehdi Hosseinzadeh & Rizwan Ali Naqvi. (2021) Machine Learning (ML) in Medicine: Review, Applications, and Challenges. Mathematics 9:22, pages 2970.
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Daniel S Herman, Daniel D Rhoads, Wade L Schulz & Thomas J S Durant. (2021) Artificial Intelligence and Mapping a New Direction in Laboratory Medicine: A Review. Clinical Chemistry 67:11, pages 1466-1482.
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Emily K. Dennis, Sudha Chaturvedi & Vishnu Chaturvedi. (2021) So Many Diagnostic Tests, So Little Time: Review and Preview of Candida auris Testing in Clinical and Public Health Laboratories. Frontiers in Microbiology 12.
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