What happened
InDevR of Boulder, Colorado, makes the FluChip-8G Influenza A+B Assay, a microarray test for nasal and nasopharyngeal swabs. Seven trained neural networks read the pattern of signals on the microarray and assign influenza types and subtypes. The networks were trained on 3064 microarray images. Swabs were collected from 2013 to 2017 at seven US clinical sites under an influenza surveillance protocol and stored frozen. From June 2017 to July 2018, three US testing sites ran the assay blind on the specimens, and 984 entered the analysis. FDA reviewers report that sensitivity was 87.9% for influenza A and 100.0% for influenza B, with specificities of 98.8% and 99.8%. FDA cleared the assay on 22 April 2019. The invalid rate was 5.9%. The study had only 22 influenza B positives, and it tested archived samples that did not guide care.
Sources
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Regulatory document, by authors with no tie to the system.
Table 20: FC8G Assay Performance Testing NS and NPS Specimens against the Comparator Assay – Prospective Clinical Study Virus Group (Analyte) Sensitivity Specificity TP/(TP+FN) % 95% CI TN/(TN+FP) % 95% CI Influenza A (Overall) 51/58 87.9% 77.1 – 94.0 915/926 98.8% 97.9 – 99.3
Influenza B(Overall) 22/22 100.0% 85.1 – 100.0 960/962 99.8% 99.2 – 99.9
Details
AI system
- Workflow
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Influenza nucleic acids were extracted from the swabs, amplified and hybridized to the microarray. A deterministic decision tree combined the neural network outputs with control signals to give each result.
Follow-up
- Conditions for replication
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The specimen comes from a patient with signs and symptoms of respiratory infection. A non-seasonal influenza A result is confirmed with public health authorities.
Entry details
- Sector
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Healthcare.
- Purpose
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InDevR built the FluChip-8G Influenza A+B Assay to detect influenza A and B in respiratory swabs and to tell seasonal influenza A subtypes from non-seasonal ones.
Not yet checked: model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.
Cite this record
Peter H. Vartanian. (2026). FluChip-8G neural networks matched a cleared influenza test (AIBD-0806). Artificial Intelligence Benefits Database, edition of 31 October 2026. https://petervartanian.xyz/aibd/records/AIBD-0806.html (archived at https://doi.org/10.7910/DVN/AADSII, version 4.0)