At the Mercy of the Artificial Intelligence Algorithm: Discrepant Polymerase Chain Reaction Results

As pathogen molecular diagnostics technology develops, the software analysis of polymerase chain reaction sigmoidal curves, cycle threshold (Ct) values, and the limit of nucleic acid detection for that assay is not always available when reporting test results. These are critical components in interpreting results and can affect the management of patients. Our view is that all commercial assay providers must ensure that users, as they can with laboratory-developed tests, are able to see the curve and Ct value for all samples. Some examples demonstrating this principle are included. Regulatory bodies have a key role to play.

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Publication Details

Journal
The Journal of Infectious Diseases
Published
2024-11-07
DOI
https://doi.org/10.1093/infdis/jiae538
Primary Topic
Molecular Biology Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

At the Mercy of the Artificial Intelligence Algorithm: Discrepant Polymerase Chain Reaction Results

Melvyn Smith, Mark Zuckerman, Temi Lampejo
The Journal of Infectious Diseases
Molecular Biology Techniques and Applications
article

At the Mercy of the Artificial Intelligence Algorithm: Discrepant Polymerase Chain Reaction Results

Melvyn Smith, Mark Zuckerman, Temi Lampejo
article en

Abstract

As pathogen molecular diagnostics technology develops, the software analysis of polymerase chain reaction sigmoidal curves, cycle threshold (Ct) values, and the limit of nucleic acid detection for that assay is not always available when reporting test results. These are critical components in interpreting results and can affect the management of patients. Our view is that all commercial assay providers must ensure that users, as they can with laboratory-developed tests, are able to see the curve and Ct value for all samples. Some examples demonstrating this principle are included. Regulatory bodies have a key role to play.

The Journal of Infectious DiseasesVol. 230(6)
King's College London (GB), King's College Hospital NHS Foundation Trust (GB)
Openalex Percentile: Top 82%
Molecular Biology Techniques and Applications
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