PAD is a prevalent chronic condition, affecting approximately 200 million individuals globally, characterized by obstruction of the peripheral arteries, especially in the lower extremities, due to the formation of atherosclerotic plaques, which compromise blood flow and tissue oxygenation. In the early stages, PAD is predominantly manifested by intermittent claudication, a condition characterized by pain or […]

Orthopedic surgery addresses conditions of the musculoskeletal system to alleviate pain, restore function, and enhance the patient’s quality of life. Its success relies on meticulous pre-operative planning that incorporates clinical data and patient-specific imaging to develop precise surgical strategies. These procedures often demand accurate implant placement, such as screws and other fixation materials. However, the

Many patients face difficulties scheduling medical appointments in hospital units, and, when successful, they often endure long waiting times to be attended. This situation is aggravated by problems such as the incompatibility of schedules between patients and healthcare professionals and structural gap between the demand for medical care and the available response capacity. As a

In recent years, digital transformation in healthcare has played a crucial role, driven by the exponential increase in medical data. This ranges from administrative information to detailed records of diagnoses, laboratory tests, medical images and prescriptions. This vast volume of data presents significant challenges for hospital systems, which need robust solutions to store, process and

Anxiety disorders are a global problem, affecting 300 million people worldwide and placing significant pressure on individuals and healthcare systems. In Europe alone, the economic impact reached 74.380 million in 2010, with 62.2% attributed to healthcare costs and 37.6% to productivity losses. Despite advances in anxiety treatment, these disorders remain highly prevalent due to limited

Facial paralysis, defined by the inability to move one or both sides of the face, has an incidence of 20 to 30 cases per 100,000 people annually. This condition often causes facial weakness, difficulties in eating and drinking, and asymmetry that disrupts an individual’s identity, hinders effective communication and emotional expression. This can result in

The growing number of people with anxiety disorders, along with increased awareness of mental health, drives the need for new technological tools that provide remote and continuous monitoring of anxiety and panic disorders. Thus, the growing trend in the wearables market, such as smartwatches and health monitoring bracelets, together with the collection of physiological data,

Currently, robotic systems for ultrasound diagnostic procedures fall into two main categories: portable robots that require manual positioning and fully autonomous robotic systems that independently control the ultrasound probe’s orientation and positioning. Portable robots rely on assistants to position the probe, which can introduce variability, reduce precision, and complicate the physician’s intuition during tele-manipulation due

The CLARIFY Decision Support Platform (DSP) is a responsive web application designed to support decision-making in cancer care through real-time data integration and predictive analytics. Built on Big Data Europe, the platform integrates a variety of data, including scientific publications, clinical anonymized data from EHR, genomic data, wearable monitoring data, and quality of life questionnaires.

Currently, the practice of recording clinical information in “free text” offers flexibility, but hinders automatic data extraction, limiting the application of analytical models. Most records are unstructured, and the use of non-standard abbreviations increases ambiguity, making interpretation difficult. Manual review is slow and prone to errors, while clinical decision support systems, which rely on structured

The goal of the FAITH project (Federated Artificial Intelligence solution for moniToring mental Health status after cancer treatment) is to remotely identify and predict depressive symptoms in cancer survivors using a federated machine learning approach that prioritizes privacy. The target audience includes healthcare professionals, researchers, technology developers and cancer survivors. The FAITH project leverages the

The Elderly Care Ecosystem (ECE) is an integration of various digital health technologies, exploring the areas of telehealth and predictive analytics. The goal of this ecosystem is to improve the quality of life for elderly individuals by providing tailored care services that adapt to their changing needs over time, promoting greater autonomy and well-being. With