Longitudinal voice monitoring in a decentralized Bring Your Own Device trial for respiratory illness detection

npj Digital Medicine, Journal Year: 2025, Volume and Issue: 8(1)

Published: April 11, 2025

The Acute Respiratory Illness Surveillance (AcRIS) Study was a low-interventional trial that examined voice changes with respiratory illnesses. This longitudinal the first of its kind, conducted in fully decentralized manner via Bring Your Own Device mobile application. app enabled social-media-based recruitment, remote consent, at-home sample collection, and daily symptom capture real-world settings. From April 2021 to 2022, enrolled 9151 participants, followed for up eight weeks. Despite mild symptoms experienced by reverse transcription polymerase chain reaction (RT-PCR) positive two machine learning algorithms developed screen illnesses reached pre-specified success criteria. Algorithm testing on independent cohorts demonstrated algorithm's sensitivity increased as increased, while specificity remained consistent. findings suggest features can identify individuals viral provide valuable insights into clinical trials design, operation, adoption (study registered at ClinicalTrials.gov (NCT04748445) 5 February 2021).

Language: Английский

ExplainitAI: When do we trust artificial intelligence? The influence of content and explainability in a cross-cultural comparison

Published: April 23, 2025

Language: Английский