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Application of artificial intelligence in laboratory diagnostics
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Habib Zeighami   1, Fatemeh Ghasemimanesh1 |
| 1- Zanjan University of Medical Sciences, Zanjan, Iran |
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Abstract: (69 Views) |
Artificial intelligence has revolutionized the diagnosis, identification, and management of infectious diseases in clinical laboratory diagnostics. Techniques based on artificial intelligence enable faster, more accurate, and more comprehensive analysis of diverse data sources related to the diagnosis of infectious diseases. Machine learning models can be trained on structured data such as patient symptoms, laboratory test results, and demographic information to aid in disease diagnosis and risk prediction. Deep learning algorithms can analyze unstructured data such as digital microscope images, mass spectra, and genomic sequences to automatically identify pathogens. This article reviews and analyzes the applications of artificial intelligence in laboratory diagnostics, exploring how AI can increase the accuracy and efficiency of laboratory diagnoses and ultimately lead to improved patient outcomes. |
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| Keywords: Laboratory Tests, Diagnosis, Artificial Intelligence |
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Full-Text [PDF 442 kb]
(76 Downloads)
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Type of Study: Review |
Subject:
میکروب شناسی و باکتری شناسی
Received: 2024/12/28 | Accepted: 2024/12/29 | Published: 2024/12/29
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