Digital health

While many sectors have already largely embarked on their digital revolution, the healthcare industry is lagging behind. Yet new technologies can bring undeniable added value to organizations, practitioners and patients alike.

Artificial intelligence can help diagnose diseases by identifying new markers or weak signals that were previously ignored. As for 5G, it offers a favorable playing field for the Internet of Things (IoT). The use of connected sensors can then facilitate the monitoring of a patient's health data, while enabling him or her to continue living at home.

In recent years, a number of initiatives have been launched to harness recent technological advances for a new approach to healthcare. E-health aims to develop digital tools that deliver useful services to professionals and individuals. These may include personalizing medical treatment to suit each individual and the results obtained, or creating a "digital clone" reproducing a patient's characteristics, to provide a training ground for surgeons before an operation. Augmented healthcare, for its part, relies on medical devices and robots to support medical practitioners, facilitating their training and assisting them during operations.

Thanks to their multi-disciplinary and complementary skills, researchers at Carnot Télécom et Société numérique work across the entire healthcare innovation chain. They are able to develop innovative solutions, test their relevance, and decipher market issues.

Dedicated platforms

Possible applications

Ensuring better detection of pathologies, using artificial intelligence to identify new disease markers earlier.
Providing diagnostic support for doctors, by rapidly analyzing a large number of different types of data (examination results, medical images, clinical descriptions, etc.).
Improving the efficiency of healthcare establishments, by optimizing care paths, resource utilization, information systems management, etc.
Better training for healthcare professionals, thanks to digital modeling, virtual reality and augmented reality solutions, enabling practitioners to practice in conditions that are close to the real thing.

Adapting medical treatments to individual patients, through personalization that takes account of their characteristics, genome and previous results...
Developing more effective and precise drugs, by targeting predefined areas within the body.
Facilitating the transmission of information between practitioners and patients, while protecting personal data, thanks to secure healthcare platforms or information directly and discreetly embedded in images.
Helping elderly and disabled people to remain at home, with the help of connected health sensors and robots capable of interacting with individuals and adapting their behavior according to users' emotions.