http://hdl.handle.net/10174/1019 2026-04-03T22:28:47Z http://hdl.handle.net/10174/39420 Title: Integrating Generative Artificial Intelligence in Clinical Dentistry: Enhancing Diagnosis, Treatment Planning, and Procedural Precision Through Advanced Knowledge Representation and Reasoning Authors: Dawa, Hossam; Cortes, Arthur; Ribeiro, Carlos; Neves, José; Vicente, Henrique Abstract: Generative 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 administered to 127 dentists, of whom 119 provided valid responses across four dimensions: current use and knowledge (CUKD), potential applications (PAD), future perspectives (FPD), and challenges and barriers (CBD). Responses, analyzed with both classical statistics and entropy-based measures, revealed significant differences among dimensions (p < 0.01, η2 = 0.14). CUKD, PAD, and FPD all increased steadily over time (baseline means 2.32, 3.06, and 3.27; rising to 3.75, 4.51, and 4.71, respectively), while CBD remained more variable (1.87–3.87). The overall entropic state declined from 0.43 to 0.31 (p = 0.018), reflecting reduced uncertainty. Statistical and entropy-derived trends converged, suggesting growing professional clarity and cautious acceptance of GAI. These findings indicate that, despite persistent concerns, GAI holds promise for advancing adaptive and evidence-driven dental practice. 2025-01-01T00:00:00Z http://hdl.handle.net/10174/39325 Title: The Impact of Digital Imaging Tools and Artificial Intelligence on Self-Reported Outcomes of Dentists Authors: Dawa, Hossam; No-Cortes, Juliana; Peñarrocha-Diago, Miguel; Vicente, Henrique; Ribeiro, Carlos; Cortes, Arthur Abstract: Background: The integration of digital imaging tools in dentistry has transformed clin-ical workflows, diagnostic accuracy, and patient outcomes. However, less attention has been given to how these tools influence dentists’ self-reported outcomes, including clinical confidence, efficiency, perceived treatment quality, communication, and pro-fessional satisfaction. This article aimed at assessing AI-powered digital tools in dentistry and their self-reported impact on dental practitioners’ activity and treatment outcomes. Methods: A comprehensive survey was distributed to 126 dental professionals of different genders, ages, years of experience, and types of dental practice to assess their experiences and attitudes towards AI applications in diagnostics and treatment plan-ning, as well as how patients and dentists perceive the benefits and challenges associated with digital dentistry. Results: Digital photographs and CBCT were regarded as essential tools to have in clinical practice, in contrast with intraoral scanners. However, barriers like high initial costs, specialty differences, and lack of formal training may influence the results. Conclusion: These findings suggest that when used appropriately, AI digital tools can significantly elevate the quality of clinical practice and professional fulfillment and underscore the importance of tailored training programs and supportive infra-structures to facilitate the effective integration of digital technologies in dental practice. 2025-01-01T00:00:00Z http://hdl.handle.net/10174/38356 Title: At the Heartbeat of the Smart City Authors: Alves, Vitor; Fdez-Riverola, Florentino; Neves, José; Ribeiro, Jorge; Vicente, Henrique Abstract: The 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 to include its attunement to the residents' emotional health. Employing an interdisciplinary lens, merging urban planning and psychological analysis, we scrutinize the ethical collection and incorporation of emotional and psychological data into municipal functions and policymaking. Moreover, are examined both the advantages and possible challenges of this empathetic approach, particularly privacy issues and the necessity for comprehensive frameworks to interpret emotional data or knowledge. One’s research indicates that SCs endeavors that integrate aspects of emotional intelligence cultivate an environment wherein technology amplifies the human experience, culminating in a more encompassing and reactive urban habitat. 2025-01-01T00:00:00Z http://hdl.handle.net/10174/38263 Title: Evaluating the Impact of Digital Tool Utilization in Dentistry on Burnout Syndrome among Dentists: An Entropy Analysis and AI-Driven Approach Authors: Dawa, Hossam; Neves, José; Vicente, Henrique Abstract: In 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 verify whether digital tools can alleviate burnout levels among dental professionals. The methodology used incorporates ideas from thermodynamics to facilitate reasoning and data representation. Data were obtained through a questionnaire exploring four key areas, which integrated job satisfaction, artificial intelligence-powered tools, time and communication, and patient expectations. The cohort includes 126 dental professionals, aged 25 to 65, with a mean age of 39.2 ± 9.5, comprising both genders. An artificial neural network model is proposed, delivering accuracy greater than 85% to predict the impact of digital tools on dentistry burnout syndrome. The findings suggest that digital tools hold substantial promise in reducing burnout levels, paving the way for improved early detection, prevention, and management strategies for dentistry burnout syndrome. The study also demonstrates the transformative potential of integrating entropy analysis and artificial intelligence in healthcare to provide more refined and predictive models for managing work-induced stress and burnout. 2025-01-01T00:00:00Z