top of page
  • Writer's pictureMedsensio Team

Medsensio Shares Medical Database for AI Breakthrough

Updated: Jan 18

Access the database by following this link: https://doi.org/10.5281/zenodo.7857970


Medsensio, in collaboration with the PyXy consortium, is opening access to the world's largest database of anonymised lung and heart sound recordings. This extensive archive includes vitals, patient history and status, medications, and known diseases. Initially used by Medsensio to create cutting-edge AI-based algorithms for the detection and monitoring of lung and heart disease, the consortium has decided to broaden access to this valuable resource in the hope of fostering more innovation in the field of digital care.


Physician performing pulmonary or cardiac auscultation of a patient.  One of the physician activities that might be replaced by Medsensio's AI.
Illustration: Physician auscultating a patient

This data trove, collected during the challenging period of the COVID-19 pandemic, provides a unique snapshot of high-risk individuals' health status. The consortium comprising Medsensio AS, Sanolla Ltd, Rudolf Riester GmbH, Helgeland hospital trust, Philonmed GmbH, Benevit holding GmbH and Natali Ltd, has come together to share this data. By democratizing access to this valuable information, the consortium aims to drive advancements in healthcare technology.


Unleashing the Power of Open Access for Medical AI

The PyXy consortium's move to open access to the database is more than just a generous act. It's a recognition of the power of open data in driving healthcare innovation. Open access to data can significantly contribute to the growth and development of AI-based healthcare solutions, leading to improved patient outcomes.


Medsensio has already showcased the potential of this database by creating advanced AI algorithms capable of detecting and monitoring heart and lung diseases. Their work has helped demonstrate how AI can be leveraged to improve patient care, particularly in the management of chronic diseases.


A Resource for Medical AI

The open-access database promises to be a game-changer for researchers, healthcare professionals, and AI developers alike. It presents an opportunity to delve into real-world data, explore patterns, test hypotheses, and develop tools to enhance digital care. Such a resource can serve as a launchpad for new digital health innovations, potentially leading to breakthroughs in disease detection, monitoring, and treatment.


The database could also contribute to the development of novel AI-based diagnostic tools and monitoring systems, enhancing our understanding of disease progression and helping to personalize treatment strategies. In the era of precision medicine, such data-driven insights are invaluable.


Towards A Brighter Future in Digital Healthcare

The consortium's move to share the database signifies a positive trend towards collaboration and openness in the pursuit of healthcare advancements. In the face of global health challenges, such cooperative initiatives will be key to driving the future of digital care.


While we have already seen the benefits of this approach in the pioneering work of Medsensio, the opening up of this database could result in a new wave of innovation in digital health. The impact of such a move could be transformative, with potential benefits for healthcare providers, patients, and society at large.


This move underscores the power of collaboration, open data, and innovation in addressing global health issues. It's an exciting development in the healthcare landscape, marking a significant step towards the future of digital care, where utilization of open access medical AI solutions could revolutionize the way we detect, monitor, and treat diseases.

bottom of page