Address

Onescope SA ??
Lorem Ipsum 00
0000 City, Switzerland

T. +00 000 00 00

Connected to life.

A revolutionary pocket-sized medical device, powered by AI, decentralizing the diagnosis, monitoring, and management of respiratory diseases.

Unique and
innovative solution

Lung sounds, oxygen blood saturation, heart rate, and temperature are simultaneously transmitted to an intuitive mobile app for real-time analysis and recognition of respiratory acoustic signatures by Al algorithms. The app not only informs the user on the likely diagnosis, but also gives the severity of the disease and suggests the best care pathway.
Our unique AI-based approach empowers healthcare professionals and patients themselves to perform rapid pulmonary screening to properly manage respiratory conditions. Onescope offers a decentralized solution that lowers healthcare costs and improves patient outcomes.

A disruptive 3-in-1 medical device

Our patented technology integrates 3 sensors allowing simultaneous measurement of sound, oximetry and patient temperature. The combination of these biosigrials is unique and will significantly improve the performance of our Al-algorithms

Thermometer

Record body temperature

Digital stethoscope

Record lungs sounds and respiratory frequency

Oxymeter

Record blood oxygen saturation and heart rate

2 Patents

(Hardware & Software)

4 Years

of data collection

250'000 Respiratory

cycles recorded

DeepBreath

A revolutionary AI model for the diagnosis of respiratory diseases

AI and Machine Learning (ML) are techniques for designing and training algorithms from a database. The main objectives of this technology in the field of health care to improve decision-making, enhance the quality and safety of health care and advance clinical research.
In order to demonstrate the feasibility of predicting lung disease using AI algorithms, a number of clinical studies have been conducted to build a database of chest sounds and develop AI algorithms. The results of these studies have demonstrated the excellent diagnostic performance of our DeepBreath AI model in identifying adukts and children who are breathing normally and those with lung disease. These results are published in the prestigious journal Nature Digital Medicine.
Publications:
  1. Heitmann et al., Nature Digital Medicine, 2023
  2. Siebert et al., BMC Pulmonary Medicine, 2023
  3. Glangetas et al., BMC Pulmonary Medicine, 2021
  4. Solà et al., IEEE Engineering in Medicine and Biology Society, 2016

Onescope is bringing respiratory diagnostics into the digital era.