Patient-level validation of a foundation-model pipeline for pediatric lung sounds: physician-annotated adventitious events are recognized, disease groups are not reliably predicted

arXiv:2603.15688 · cs.SD, cs.LG · Submitted 2026-03-15 · Read on arXiv

cs.SD, cs.LG

Submitted: 2026-03-15

Updated: 2026-09-25

Code: https://github.com/turkalpmd/PulmoVec

Terminology

• AUC — 24× in this paper · explained in 2 episodes
• Accuracy — 18× in this paper · explained in 1 episode
• External Validation — 10× in this paper · explained in 2 episodes
• Foundation Model — 7× in this paper · explained in 3 episodes
• Aggregation — 5× in this paper · explained in 1 episode
• Robustness — 4× in this paper · explained in 5 episodes
• Generalizability — 3× in this paper · explained in 6 episodes
• Meta-learning — 3× in this paper · explained in 2 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Explainability — 2× in this paper · explained in 3 episodes
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Two-Stage Architecture — 2× in this paper · explained in 2 episodes
• AUROC — 1× in this paper · explained in 2 episodes
• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Cooperation — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• iMedic: Towards Smartphone-based Self-Auscultation Tool for AI-Powered Pediatric Respiratory Assessment
• HeAR -- Health Acoustic Representations
• Pediatric Asthma Detection with Googles HeAR Model: An AI-Driven Respiratory Sound Classifier

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