International Journal of Clinical Biochemistry and Research

Print ISSN: 2394-6369

Online ISSN: 2394-6377

CODEN : IJCBK6

International Journal of Clinical Biochemistry and Research (IJCBR) open access, peer-reviewed quarterly journal publishing since 2014 and is published under auspices of the Innovative Education and Scientific Research Foundation (IESRF), aim to uplift researchers, scholars, academicians, and professionals in all academic and scientific disciplines. IESRF is dedicated to the transfer of technology and research by publishing scientific journals, research content, providing professional’s membership, and conducting conferences, seminars, and award more...

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Get Permission Maheshwari K: Artificial intelligence in clinical chemistry – Boon or a bane

Artificial intelligence is emerging as an important exploratory tool due to its transforming capabilities in the field of clinical chemistry. There are many novel applications of artificial intelligence with its associated tools in clinical chemistry. Due to the emergence of COVID 19 pandemic, AI has found profound implications in the field of laboratory medicine.1, 2

Artificial intelligence is referred as the capability of instruments to replicate human intelligence. It comprises of Artificial general intelligence (wherein AI thinks like humans), Artificial super intelligence (wherein AI supersedes human capabilities) and Artificial narrow intelligence (wherein AI enhances deep and advanced learning for specific automated tasks).3, 4

A significant area of focus of AI in clinical chemistry includes its application in predicting laboratory test results and optimizing lab resource utilization. Researchers have developed algorithms and models to optimize the utilization of lab resources. For instance, serum iron levels and the incidence of iron deficiency anemia can be derived from complete blood count.5 Lee et al., has developed a neural network model for predicting LDL-Cholesterol levels based on total cholesterol, LDL cholesterol and triglycerides which can be used in place of Friedewald equation.6

AI helps in the interpretation of test results and for disease diagnosis. It plays a major role in test validation, quality control procedure and laboratory information management systems.7 Kurstjens et al., has developed an algorithm to predict low ferritin levels based on data available from 3,797 primary care anemic patients.8

Finally, there is an urgent need to integrate the expertise available in clinical laboratory with AI experts for the needed digital transformation to occur in the near future. It is appropriate to manage the huge data generated by the clinical laboratory to extend the additional benefits to patient care. AI remains the ultimate tool to achieve this huge transformation in laboratory medicine.

References

1 

P Mitra S Misra P Sharma One year of COVID-19: the “new normalIndian J Clin Biochem202136112

2 

P Mitra S Misra P Sharma Impact of COVID-19 on clinical biochemistry: Indian scenarioIndian J Clin Biochem20213643856

3 

N Rabbani Gye Kim C J Suarez JH Chen Applications of machine learning in routine laboratory medicine: current state and future directionsClin Biochem202210317

4 

I Azarkhish MR Raoufy S Gharibzadeh Artificial intelligence models for predicting iron deficiency anemia and iron serum level based on accessible laboratory dataJ Med Syst2012363205761

5 

Y Luo P Szolovits AS Dighe JM Baron Using machine learning to predict laboratory test resultsAm J Clin Pathol2016145677888

6 

T Lee J Kim Y Uh H Lee Deep neural network for estimating low density lipoprotein cholesterolClin Chim Acta20194893540

7 

DR Bunch TJ Durant JW Rudolf Artificial Intelligence Applications in Clinical ChemistryClin Lab Med20234314769

8 

S Kurstjens Td Bel Ad Horst R Kusters J Krabbe J Balveren Automated prediction of low ferritin concentrations using a machine learning algorithmClin Chem Lab Med2022601219218



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Article type

Editorial


Article page

260-261


Authors Details

Uma Maheshwari K*


Article History

Received : 25-01-2024

Accepted : 01-02-2024


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