LungLab helps medical learners master lung auscultation using real, pulmonologist-labeled patient audio. Combine high-fidelity sounds with spectrograms and waveforms to build true pattern recognition—so you recognize instantly, not guess. No login, works anywhere.
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The first time I clearly heard a wheeze wasn’t in class, it was on a real patient.
And I wasn’t fully confident.
That stuck with me.
Lung auscultation is a core clinical skill, but most of us learn it through textbooks, diagrams, and limited exposure. The problem? It’s a pattern recognition skill,and patterns need repetition.
So I built LungLab.
I started simple—just collecting real lung sound recordings. Then realized audio alone wasn’t enough. Learners needed to see what they were hearing. That’s when I added spectrograms, waveforms, and autoplay practice to reinforce recognition.
Everything is based on real, pulmonologist-labeled patient data.
The goal is simple:
When you pick up a stethoscope, you don’t hesitate, you recognize.
Would love your feedback—especially from medical students, doctors, and educators.
What would make this 10x better?