Development and Clinical Validation of Swaasa AI Platform for screening and prioritization of Pulmonary TB

Abstract

Acoustic signal analysis has been employed in various medical devices. However, studies involving cough sound analysis to screen the potential Pulmonary Tuberculosis (PTB) suspects are very few. The main objective of this cross-sectional validation study was to develop and validate the Swaasa AI platform to screen and prioritize at risk patients for PTB based on the signature cough sound as well as symptomatic information provided by the subjects. The voluntary cough sound data was collected at Andhra Medical College-India. An Algorithm based on multimodal Convolutional Neural Network (CNN) architecture and tabular features was built and validated on a total of 567 subjects, comprising 278 positive and 289 negative PTB cases. The output from these two models was combined to detect the likely presence (positive cases) of PTB. In the clinical validation phase, the AI-model was found to be 86.82% accurate in detecting the likely presence of PTB with 90.36% sensitivity and 84.67% specificity. The pilot testing of Swaasa was conducted at a peripheral health care centre, RHC Simhachalam-India on 65 presumptive PTB cases. Out of which, 15 subjects truly turned out to be PTB positive with a Positive Predictive Value of 75%. The validation results obtained from Swaasa AI Platform are quite encouraging. This platform has the potential to fulfil the unmet need of a cost-effective PTB screening method. It works remotely, presents instantaneous results, and does not require a highly trained operator. Therefore, it could be implemented in various inaccessible, resource-poor parts of the world.

Competing Interest Statement

The authors have declared no competing interest.

Clinical Trial

CTRI/2021/09/036609

Clinical Protocols

http://ctri.nic.in/Clinicaltrials/showallp.php?mid1=60601&EncHid=&userName=Swaasa%20Artificial%20Intelligence%20Platform%20for%20detecting%20likely%20presence%20of%20Pulmonary%20Tuberculosis

Funding Statement

This study is supported by the UK Government (British High Commission, New Delhi). This is a commissioned research report on commercial terms between C-CAMP and the UK Government (British High Commission, New Delhi).

Author Declarations

I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.

Yes

The details of the IRB/oversight body that provided approval or exemption for the research described are given below:

The methods were performed in accordance with relevant guidelines and regulations and approved by Andhra Medical college (AMC)- Institutional Ethics Committee (IEC).

I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals.

Yes

I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).

Yes

I have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable.

Yes

Data Availability

All data produced in the present study are available upon reasonable request to the authors

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