Diabetes is a non-communicable disease that has reached epidemic proportions, affecting
537 million people globally. Artificial Intelligence can support patients or clinicians in …

We address the task of ontology learning by combining the structured NeOn methodology
framework with Large Language Models (LLMs) for translating natural language domain …

Abstract Background Type-2 Diabetes Mellitus (T2D) is a growing concern worldwide, and
family doctors are called to help diabetic patients manage this chronic disease, also with …

Background Chronic obstructive pulmonary disease (COPD) is a chronic condition among
the main causes of morbidity and mortality worldwide, representing a burden on health care …

Purpose This paper introduces a novel method to improve building safety management by
leveraging building information modeling (BIM) and adaptive information retrieval …

The complexity of diagnosing and treating gait-related diseases necessitates the existence
of a domain ontology that can support intelligent decision-making by gait experts and …

Background Dysphagia is a disorder that can be associated to several pathological
conditions, including neuromuscular diseases, with significant impact on quality of life …

The rise of Healthcare 5.0 paradigm calls for personalization of care and management of
patients' conditions. Though promising, data-driven techniques may raise some concerns as …

Accidents at work may force workers to face abrupt changes in their daily life: one of the
most impactful accident cases consists of the worker remaining in a wheelchair. Return To …

Driving a car is pivotal to supporting Persons with Disabilities (PwDs) independence and
quality of life. The problem of reconfiguring a vehicle to meet both the PwD's needs and the …