Keikku Diagnostics
AI-Powered
AuscultationAuscultation
Heart and lung disease detection, powered by clinically validated AI.
Delivered through Keikku's clinical-grade hardware.
The Experience
Reimagined
Auscultation
Keikku reimagines auscultation from the ground up. Fully wireless, clinical-grade audio with dedicated filters for heart and lung sounds — combined with AI that analyzes what it hears.
Heart Murmur AI
Dedicated heart filters to increase the natural sound frequencies of the heart. Heart murmur detection powered by eMurmur's FDA-cleared and CE-marked algorithms.
Wireless Freedom & Sound Quality
Dedicated heart filters to increase the natural sound frequencies of the heart. Heart murmur detection powered by eMurmur's FDA-cleared and CE-marked algorithms.
Lung Sounds
Dedicated lung filters emphasizing lung frequencies. Tag and record lung sounds across all auscultation positions — upper, middle, and lower fields, left and right.
Streaming & Sharing
Stream and share sounds in real time for telemedicine or a second opinion. Start and stop streaming sessions from within the app — share via QR code with any colleague, anywhere.
Comment & Save
Report auscultation position, add findings, crop sound files. Share or export to the EHR. Every recording stored with full clinical metadata — ready for review or collaboration.
The Keikku
Smart-Stethoscope
AI Diagnostics
Coming Soon to Keikku
Keikku is partnering with eMurmur to bring FDA-cleared and CE-marked auscultation AI algorithms directly into the Keikku platform.
Structural Murmur
Detection
HR + S1 S2
Recognition
Coming soon
How It's
Built
Who It's
Built For
Workflow
How It Works
Place Keikku for auscultation
Listen with high-fidelity, fully wireless audio. Locate the auscultation site and press record in the app. Use active noise cancellation and heart or lung filters to enhance the experience in noisy environments.
Record for 15 seconds
Let Keikku capture a minimum of 15 seconds of audio. Minimize movement and clothing friction to reduce noise and maximize AI accuracy.
Results ready in 30 seconds
Keikku analyzes the recording and deploys an AI tag on your file. The tagged recording is available in your app library with editable patient information, auscultation site, and clinical parameters.
If you performed auscultation during a transcribed consultation, your recording and AI output will appear inside the transcription file — connecting your exam findings directly to your clinical documentation.
The AI output can be affected by noise and vibration conditions. The result and interpretation are the responsibility of the acting certified caregiver.
Integration
Connected to
Your Workflow
Diagnostics AI doesn't exist in a silo. When auscultation AI flags a finding, that output feeds directly into the rest of the Keikku platform.
Reference
Auscultation AI
Scribe | AI Notes
This is what makes Keikku different from standalone auscultation tools. The diagnosis support, the documentation, and the clinical intelligence are all connected.
Research
Publications
Improving Pediatric Care in Rural Hospitals with Telemedicine
eMurmur Heart AI enables detection of heart valve disease in the community pharmacy setting
Johns Hopkins presents assessment of the eMurmur home-based remote auscultation technology at High Value Practice Academic Alliance National Conference
Stanford University evaluates the implementation and utility of eMurmur University for teaching auscultation skills to incoming pediatric cardiology fellows
Feasibility of using an artificial intelligence-enabled stethoscope and telemedicine to improve referrals and reduce inappropriate use of echocardiography in children with heart murmurs
Clinical data from Johns Hopkins telemedicine study presented at 2019 Architecture of High-Value Health Care Conference
Johns Hopkins study demonstrates 88% accuracy of eMurmur, as published in Pediatric Cardiology
Data from comparative clinical study presented at AHA Scientific Sessions 2017
Results from Johns Hopkins study presented at AHA Scientific Sessions 2017
eMurmur's heart murmur detection algorithm scores 89% sensitivity in an elderly population clinical trial
eMurmur's heart murmur detection algorithm scores 94% accuracy in clinical pilot study
Powered by eMurmur
FDA-cleared, CE-marked, and validated through clinical trials at Johns Hopkins University, Stanford University, and other leading institutions. eMurmur's algorithms are hardware-agnostic and represent some of the most rigorously tested cardiac auscultation AI in the world.
The Future of the Exam
Starts Here
Auscultation has been unchanged for 200 years. Keikku is bringing it into the age of AI — not by replacing the clinician's ear, but by adding a layer of intelligence on top of it. Hear what you've always heard. Now understand more.