In Case of Emergency, There Is Rilemo

Whether it is for a sports injury, a car accident or a house call, today AI plays a key role in transforming the way medical diagnoses are traditionally performed. Rilemo is an innovative Italian startup that integrates AI technologies with a patented portable device, designed to identify in real time pathologies related to the accumulation of fluids in the body, such as blood or edema. Rilemo combines AI and the physical device to provide diagnostic images wherever the patient is. These images can also be integrated with conventional diagnostic technology such as X-rays and Magnetic Resonance Imaging, enriching the data available to doctors with information on the presence or absence of fluid accumulation, the type of fluids and their quantity. Thanks to the use of advanced embedded AI algorithms, the device does not only capture data, but analyzes it to generate text reports that accelerate and optimize the diagnostic process even outside the hospital. “Our goal is to bring the diagnosis directly to the patient, wherever they are, to avoid late diagnoses and streamline procedures and reduce waiting times for patients,” explains Valentina Lidoni, CEO of Rilemo. “Our device is currently being validated by hospital facilities, focusing on applications for rheumatology and pneumology. However, its versatility will allow us to extend its use to other areas of human medicine in the future.”

Rilemo, previously called Previeni, is accelerated by Bocconi for Innovation (B4i) and aims not only to improve the timeliness of diagnosis but also to significantly reduce operating costs in healthcare. By avoiding unnecessary travel, especially for chronic patients, and offering continuous monitoring at home, the technology represents an evolutionary leap towards a more accessible and efficient health care system. To fully exploit the potential of the Artificial Intelligence & Health Care binomial in optimizing clinical procedures and supporting doctors in formulating diagnoses, it is essential to have high-quality data. This requires technological infrastructures that facilitate the exchange of information and interoperability between different actors of the health care system. "Through a connected and integrated network, we can maximize the value of AI, offering citizens simple and secure access to their digital data," concludes Lidoni.