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Telling.ai

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About

Telling.ai is a specialized telehealth platform designed to transform respiratory monitoring through the analysis of vocal and breathing patterns. By leveraging the ubiquity of modern smartphones, the tool identifies unique auditory signatures associated with various medical conditions, including chronic lung diseases and infections. It functions as a non-invasive biometric tool that interprets the complex interactions of the lungs, upper airways, nerves, and muscles involved in speech and breath to provide immediate insights into a user's respiratory status without the need for additional hardware. The platform utilizes a unique framework to capture respiratory sounds in real-world settings, which often include significant background noise. To ensure high-quality data, it employs real-time feedback and proprietary denoising algorithms. Once a sample is recorded, the AI extracts dozens of acoustic features—many of which are imperceptible to the human ear—to identify signs of mucus, obstruction, inflammation, or scarring. These features are processed by best-in-class algorithms to deliver results within seconds, allowing for continuous and convenient monitoring from any location. The tool is primarily intended for the millions of individuals living with chronic lung diseases such as COPD and asthma, as well as those recovering from lower respiratory tract infections. It serves healthcare providers who require a scalable way to monitor at-risk patients remotely to prevent acute exacerbations and reduce hospital readmission rates. By providing a personalized baseline for each user, Telling.ai helps individuals and clinical teams intervene early before symptoms escalate into emergencies, potentially reducing the massive annual spend on respiratory infections. Unlike traditional spirometry or clinical assessments that require physical visits and expensive medical equipment, Telling.ai offers ubiquitous availability. Its reliance on existing smartphone technology makes it a low-cost, accessible alternative for daily monitoring. Furthermore, its research-backed approach, supported by organizations like the National Science Foundation and documented in peer-reviewed journals like JAMA, distinguishes it from general wellness apps by focusing on clinical-grade auditory biometrics and personalized respiratory health signatures.

Pros & Cons

Uses standard smartphone hardware without requiring external sensors.

Provides results within seconds for immediate health insights.

Employs specialized denoising to work in real-world environments.

Backed by research published in JAMA and supported by the NSF.

Detects subtle acoustic signatures of inflammation and mucus undetectable by humans.

Requires a quiet enough environment for accurate audio capture.

Not a diagnostic replacement for clinical imaging or physical exams.

Effectiveness may vary based on smartphone microphone quality.

Focus is strictly on respiratory health rather than general wellness.

Use Cases

Patients with COPD can monitor their condition daily to detect early signs of exacerbation and avoid emergency room visits.

Telehealth providers can integrate vocal biometrics to remotely assess the lung health of patients with chronic respiratory issues.

Individuals recovering from respiratory infections can track their recovery progress and lung function improvements over time.

Healthcare systems can use the tool to reduce 30-day readmission rates for patients with respiratory diseases through frequent monitoring.

At-risk smokers or vapers can periodically check their respiratory health signatures to monitor for signs of airway obstruction.

Platform
Web
Task
respiratory monitoring

Features

real-time audio feedback

non-invasive monitoring

instant result generation

smartphone-based data collection

personalized health signatures

dozens of extracted acoustic features

background noise denoising

acoustic biometric analysis

FAQs

How does Telling.ai analyze my lung health?

The platform uses AI algorithms to analyze the acoustic properties of your voice and breathing. It identifies unique auditory signatures of mucus, inflammation, and obstruction that are often undetectable to the human ear.

Do I need special equipment to use this tool?

No, the platform is designed to work with the smartphone you already own. It captures audio samples through the phone's microphone, making it accessible for home use or while traveling.

Is the data collection affected by background noise?

Telling.ai includes a built-in framework for denoising and real-time feedback. This ensures that the audio samples collected in real-world environments are high enough quality for accurate AI analysis.

How quickly are the results available?

Analysis is nearly instantaneous, with results typically available within seconds of submitting a voice or breath sample. This allows for rapid assessment of changes in respiratory status.

Who can benefit from using Telling.ai?

It is designed for individuals with chronic lung diseases like COPD or asthma, as well as healthcare providers looking to monitor patients remotely. It helps in predicting and preventing acute exacerbations.

Pricing Plans

Contact for Pricing
Unknown Price

Voice and breath sound analysis

Real-time feedback system

Background denoising

Personalized respiratory tracking

Instantaneous results

Non-invasive assessment

Job Opportunities

There are currently no job postings for this AI tool.

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