610 documents found, page 1 of 61
Biomechanical Behavior of the Diabetic Foot in Patients with Neuropathy
Portela, Manuel; Ávidos, Liliana; Neves, João; Vicente, Henrique; Neves, JoséThis study proposes a Technology-enabled Learning and Social Computing (TeL&SC) approach to forecast the Biomechanical Behavior of Diabetic Foot in patients with Neuropathy, based on an integrated Entropic and Mathematical Logic (ML) approach to Problem Solving. The research aims to address the challenge of predicting diabetic foot complications in patients with neuropathy, which is complicated by the foot’s co...
Evaluation of Employment Contentment among Nurses in Critical Care Settings
Fernandes, Filipe; Dias, Almeida; Araújo, Isabel; Ribeiro, Jorge; Vicente, Henrique; Neves, JoséIn Intensive Care Units (ICUs), nurses operate within an environment where data may be interpreted in entropic terms, directly influencing rapid decision-making and strategy formulation, i.e., this high-stakes environment necessitates seamless collaboration between nurses, physicians, and patients, which is vital for the association and consolidation of long-term objectives. Indeed, job satisfaction for nurses ...
Evaluating the Impact of Digital Tool Utilization in Dentistry on Burnout Syndr...
Dawa, Hossam; Neves, José; Vicente, HenriqueIn the high-pressure environment of dental practice, dentistry burnout syndrome frequently manifests as emotional exhaustion, depersonalization, and reduced professional fulfilment. While traditional methods for assessing dentistry burnout syndrome often overlook the complex dynamics of stress factors, this study specifically aims to predict burnout syndrome utilizing entropy and artificial intelligence to veri...
Non-Ergodic Theory vs. Fractal Geometry in Organizational Learning and Dynamic ...
Lima, Rui; Marreiros, Goreti; Fdez-Riverola, Florentino; Vicente, Henrique; Neves, JoséThis paper examines the adoption of non-Ergodic Theory and Fractal Geometry to enhance organizational learning in healthcare food catering. It critiques conventional linear models, promoting an understanding of varied learning processes across organizational strata. Non-Ergodic Theory emphasizes the diversity of learning among individuals and groups, while Fractal Geometry examines learning as self-similar patt...
Advancing Smart Urban Futures in the Healthcare Sector
Alves, Vitor; Marreiros, Goreti; Fdez-Riverola, Florentino; Neves, José; Ribeiro, Jorge; Vicente, HenriqueAs urban development stands on the brink of a new epoch, the imperative exploration of artificial intelligence, logic programming, and entropy demands visionary planning, ethical conduct, and a deep appreciation of their far-reaching impact when synergized within smart city frameworks. This study delves into the complex relationship between artificial intelligence, logic programming, and entropy, highlighting t...
Data Science in the Management of Healthcare Organizations
Faria, Pedro; Alves, Victor; Neves, José; Vicente, HenriqueThe transformation of healthcare organizations is essential to address their inherent complexity and dynamic nature. This study emphasizes the role of Data Science, with the incorporation of Artificial Intelligence tools, in enabling data-driven and interconnected management strategies. To achieve this, a thermodynamic approach to Knowledge Representation and Reasoning was employed, capturing healthcare workers...
At the Heartbeat of the Smart City
Alves, Vitor; Fdez-Riverola, Florentino; Neves, José; Ribeiro, Jorge; Vicente, HenriqueThe evolution of Smart Cities (SCs) underscores the critical need to harmonize technological advancements with the human element. This study probes into the strategies and impacts of boosting inhabitant contentment and the efficacy of services by valuing the emotional and psychological needs of the populace in the digital urban milieu. We assert that the intelligence of a city transcends its technological base ...
Integrating Generative Artificial Intelligence in Clinical Dentistry: Enhancing...
Dawa, Hossam; Cortes, Arthur; Ribeiro, Carlos; Neves, José; Vicente, HenriqueGenerative artificial intelligence (GAI) is poised to transform clinical dentistry by enhancing diagnostic accuracy, personalizing treatment planning, and improving procedural precision. This study integrates logic programming and entropy within knowledge representation and reasoning to generate hypotheses, quantify uncertainty, and support clinical decisions. A six-month longitudinal questionnaire was administ...
Successful Radical Resection Of Masaoka Iii Squamous Cell Thymic Carcinoma Inva...
Nawojowska, Ágata; Cabral, Daniel; Neves, José; Félix, FranciscoIntroduction: Complete radical resection is crucial for successfully treating thymic carcinomas. However, when the invasion of the great vessels or the heart in Masaoka III and IV stages occurs, the management poses more challenges. The R0 resection often requires neoadjuvant treatment. We present an example of a debatable case in which a treatment decision was guided by an imminent risk to the patient's life. ...
The Impact of the COVID-19 Pandemic on the Diagnosis of Cutaneous Melanoma: a M...
Pestana, M.; Vilela, Beatriz F.; João, Alexandre; Carvalho, Rodrigo; Silva, António M.; Alves, João; Nogueira, Joana; Castro, Cristina GObjective: Malignant melanoma (MM) is among the most lethal skin cancers, with early diagnosis being essential for timely treatment and favorable prognosis. The coronavirus disease 19 (COVID-19) pandemic-related disruptions in global healthcare systems affected cancer screening and treatment. The aim of this study was to investigate the potential impact of the COVID-19 pandemic on the diagnosis and prognosis of...