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- Deep technologies and safer gambling: A systematic reviewPublication . Cardoso, Leonor G.; Barroso, Beatriz C. R.; Piccoli, Gloria; Peixoto, Miguel; Morgado, Pedro; Marques, António; Rocha, Carla; Griffiths, Mark D.; Queirós, Ricardo; Dores, Artemisa; Pereira da Silva Marques, António José; de Faria Távora Moreira Peixoto, MiguelDeep technologies combine engineering innovation and scientific findings to solve complex problems and are becoming particularly relevant to the gambling industry. With the global rise of gambling practices and the subsequent increase of gambling-related problems and disorders, deep technologies have emerged as a way to create safer online gambling environments. However, there is still limited knowledge regarding their applica bility and consequences. The present study systematically reviewed the existing literature on deep technologies in gambling environments, such as online casinos and betting platforms, and explored their potential benefits, risks, and effectiveness in promoting safer gambling experiences. This review followed the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. Searches were conducted in Web of Sci ence, PubMed, Scopus, EBSCO, and IEEE databases, and manually. A total of sixty-eight studies were included in the review. In general, four primary applications of deep technologies in online settings were found: (i) behavioural monitoring and feedback; (ii) predictive risk modelling; (iii) decision support and AI classifiers; and (iv) limit-setting/self-exclusion tools. They were primarily used to identify and classify problematic gambling, prompt individual action, regulate gambling behaviours, raise awareness of risk levels, promote responsible gambling practices, support research, interventions, and evaluate player protection initiatives. Together, the findings suggest that deep technologies offer ample opportunities to enhance gambler safety and reduce potential risks, although challenges may arise from their implementation, such as privacy and ethical concerns, malicious data use, misclassification of risk levels, and difficulties in large-scale application. Limitations and directions for future studies are discussed
- Integrating PET for tumour hypoxia in radiotherapy planning: Insights from Portuguese radiotherapy and nuclear medicine technologistsPublication . Sousa, Ruben Diogo Oliveira; Faria, Brígida Mónica; Bravo, Isabel; Costa, Pedro; Costa, Pedro; Faria, Brigida MonicaIn the era of personalised medicine, tumour hypoxia (TH) is critical in radiotherapy (RT) response due to its role in tumour resistance. Positron Emission Tomography (PET) enables non-invasive assessment of TH and supports heterogeneous dose-escalation to hypoxic sub-volumes, improving treatment efficacy. This study explores Nuclear Medicine Technologists (NMT) and Radiotherapy Technologists (RTT) perceptions of PET-based TH (PET-TH) assessment and implementation in RT planning in Portugal. We conducted an observational cross-sectional survey of RTTs and NMTs currently working in Portuguese healthcare institutions. Statistical tests were used to assess associations and compare distributions using IBM® SPSS®. A total of 66 participants, 57 (86.4 %) females, with a mean age of 33.68 (±8.13) years, were included: 23 (34.8 %) NMTs and 43 (65.2 %) RTTs. While 65.2 % of NMT departments had PET scans with RT-compatible settings, only 8.7 % had performed PET-TH studies. Among RTTs, 88.4 % reported that their treatment planning systems were compatible with PET/CT fusion, yet only 9.3 % had used PET in RT planning. RTTs received more training in TH (p = 0.006) and rated their knowledge higher than NMTs (p = 0.042). Greater professional experience and higher perceived knowledge were associated with better performance on evaluation items (p = 0.027; p = 0.037). Regardless of institution type, 92.4 % expressed interest in interprofessional collaboration to support individualised planning. The assessed departments possess infrastructures for PET-TH integration, yet clinical implementation remains limited. Knowledge and professional experience are associated with competency. Targeted training for Technologists and interdisciplinary workflows may improve PET-TH adoption. Addressing knowledge and workflow could facilitate PET integration into RT planning and potentially enhance treatment outcomes. Future efforts should focus on interdisciplinary collaboration.