Personalized Digital Health and Artificial Intelligence in Childhood Asthma
Asthma is a chronic inflammatory airway disease affecting 8% of school‑aged children and 30% of preschoolers, with frequent exacerbations that are difficult for parents and patients to assess. Current assessment tools include the Pediatric Respiratory Assessment Measure (PRAM) score and lung function tests such as spirometry, but these require patient cooperation and are limited in young children. Digital stethoscopes that record and transmit auscultation data up to 20‑20,000 Hz, combined with advanced signal processing and unsupervised AI learning, offer a promising objective method to evalu…
Asthma is a chronic inflammatory airway disease affecting 8% of school‑aged children and 30% of preschoolers, with frequent exacerbations that are difficult for parents and patients to assess. Current assessment tools include the Pediatric Respiratory Assessment Measure (PRAM) score and lung function tests such as spirometry, but these require patient cooperation and are limited in young children. Digital stethoscopes that record and transmit auscultation data up to 20‑20,000 Hz, combined with advanced signal processing and unsupervised AI learning, offer a promising objective method to evalu…
This approach aligns with Swiss AI initiatives focused on developing high‑performance, clinically relevant AI solutions for personalized healthcare.
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