Artificial Intelligence as Assessment Tool in Occupational Therapy: A Scoping Review by Christos Kokkotis, Ioannis Kansizoglou, Theodoros Stampoulis, Erasmia Giannakou, Panagiotis Siaperas, Stavros Kallidis, Maria Koutra, Christina Koutra, Anastasia Beneka, Evangelos Bebetsos

“…The integration of artificial intelligence (AI) presents a transformative opportunity to enhance assessment precision and personalize therapeutic interventions. …”
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Intelligent Control of Surgical Robot for Telesurgery: An Application to Smart Healthcare Systems by Shailu Sachan, Tanmay Shukla, Pankaj Swarnkar, Apsara Adhikari

“…The intelligent optimized, adaptive, and learning-based adaptive neuro-fuzzy fractional order sliding mode control (ANFFOSMC) controller is proposed to attain dexterity and acuity of the surgical manipulator for surgical interventions. …”
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The role of artificial intelligence in promoting health and developing preventive strategies for diabetes by Ameneh Marzban

“…Dear Editor Diabetes remains a significant public health challenge, and the integration of artificial intelligence (AI) presents remarkable opportunities to enhance early diagnosis, personalized treatment, and effective prevention strategies.1 AI algorithms, including supervised learning and convolutional neural networks, can efficiently analyze large datasets to identify patterns and risk factors associated with diabetes, surpassing the capabilities of traditional methods.2 This advanced analysis enables healthcare providers to predict the likelihood of diabetes in individuals and populations, facilitating timely interventions and customized prevention strategies. …”
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Assessing the Predictor Roles of Mindfulness and Spiritual Intelligence for Depressive and Anxiety Symptoms by Pınar Ünal-Aydın, Yasin Arslan, Orkun Aydın

“…Although our findings suggest that spiritual intelligence is not significant in prediction of depression and anxiety, our research provides empirical evidence for the link between MF, SI, depression and anxiety, as well as revealing MF as predictor for anxiety and depression which may be useful for further improvements in the scope of current interventions.…”
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Academic Plagiarism in the Artificial Intelligence Era: The Practices of University Students in Iraq by Zhwan Dalshad Abdullah

“…In the era of artificial intelligence, concerns about academic plagiarism are on the rise in higher education. …”
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Artificial Intelligence in medicine: Potential and Application Possibilities - Comprehensive literature review by Michał Kotowicz, Magdalena Bieniak-Pentchev, Maria Koczkodaj

“… Artificial intelligence (AI) is transforming modern medicine by enhancing diagnostic accuracy, personalizing treatment, and streamlining clinical workflows. …”
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Harnessing Artificial Intelligence in Cardiology: Advancements in Diagnosis, Treatment, and Patient Care by Muhammad Hamza Shuja, Firzah Shakil, Syed Hasan Shuja, Minal Hasan, Maliha Edhi, Abeera Farooq Abbasi, Afia Jawaid, Shajia Shakil

“…Heart disease remains a leading cause of morbidity and mortality globally, straining healthcare systems worldwide. Artificial intelligence (AI) offers transformative solutions in cardiology, enhancing early diagnosis, personalized treatment, and surgical precision. …”
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Mindfulness and Emotional Intelligence as Predictors of Self-Efficacy in High School Students by Nie Lie, Heru Suherman, Budi Utomo

“…Given these results, emotional intelligence training is recommended as a key strategy for enhancing students' self-efficacy, while structured and long-term mindfulness interventions may further complement this development. …”
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Combination of Music, Artificial Intelligence, and Brainwaves for the Promotion of Mental Well-Being by Georgios Karachalios, Evina Makaroni

“…The convergence of music, neuroscience, and artificial intelligence presents a highly innovative field of research and application, with significant potential for addressing various issues related to mental health and human well-being. …”
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Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications by Emre Sezgin, Ahmet Baki Kocaballi

“… The integration of artificial intelligence (AI) into health communication systems has introduced a transformative approach to public health management, particularly during public health emergencies, capable of reaching billions through familiar digital channels. …”
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Digital intelligence and synergy of pollution reduction and carbon reduction: “Dividend” or “gap”? by Jiajia Li, Xianfeng Han, Tonglei Zhang, Jian Xiao, Longtao Chen

“…At the intersection of the “dual carbon” goal and the era of digital intelligence (DI), exploring the synergy between pollution and carbon reduction (SPCR) within the context of DI is important for promoting a comprehensive green transformation of economic and social development. …”
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Artificial Intelligence for Psychotherapy: A Review of the Current State and Future Directions by Mirza Jahanzeb Beg, Mohit Verma, Vishvak Chanthar K. M. M., Manish Kumar Verma

“…The results suggest that AI can enhance psychotherapy interventions for people with anxiety and depression, especially chatbots and internet-based cognitive-behavioral therapy. …”
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Explainable artificial intelligence for predicting medical students’ performance in comprehensive assessments by Haniye Mastour, Toktam Dehghani, Ehsan Moradi, Saeid Eslami

“…These insights empower educators to prioritize curriculum reforms and implement early interventions for at-risk students while delivering personalized feedback for learners to enhance learning outcomes.…”
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Effects of an Intelligent Speed Assistance System on Reducing Vehicle-Cyclist Collisions by Yuta TAKAGI, Yuichi SAITO, Makoto ITOH

“…This study sought to estimate the effects of an ISA, which provides control interventions to ensure that travel speeds do not exceed the speed limit. …”
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Leveraging artificial intelligence to strengthen surgical systems in sub-Saharan Africa by Osedebamen Ralph-Okhiria, Ikhide Alonge

“… This review discusses the potential of artificial intelligence (AI) to augment surgical care in sub-Saharan Africa (SSA), a region with significant surgical disparities. …”
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Development of neuro-didactic content aimed at developing the intelligence of younger schoolchildren by Zhazira Zhumabayeva, Rabiga Bazarbekova, Sazhila Nurzhanova, Assel Stambekova, Sholpan B. Kalbergenova

“…The study was conducted over an academic year, incorporating standardized cognitive testing (Wechsler, Raven’s Progressive Matrices, and Cattell’s Culture-Free Intelligence Test) before and after the intervention.FindingsThe research findings indicate enhancements in abilities among students who took part in the Neurogymnastics program when compared to those in the control group. …”
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Explainable Artificial Intelligence Models for Predicting Depression Based on Polysomnographic Phenotypes by Doljinsuren Enkhbayar, Jaehoon Ko, Somin Oh, Rumana Ferdushi, Jaesoo Kim, Jaehong Key, Erdenebayar Urtnasan

“…Despite several advancements, the current screening methods have limitations in enabling the robust and automated detection of depression, thereby hindering early diagnosis and timely intervention. This study aimed to develop explainable artificial intelligence (AI) models to predict depression using polysomnographic phenotype data, ensuring high predictive performance while providing clear insights into the importance of features influencing the risk of depression. …”
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Use of artificial intelligence in the diagnosis, treatment and surveillance of patients with kidney cancer by E. Yu. Timofeeva, С. R. Azilgareeva, A. O. Morozov, M. S. Taratkin, D. V. Enikeev

“…Currently, artificial intelligence (AI) has developed greatly and has become the subject of active discussions. …”
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Practical Aspects of Using Artificial Intelligence Programs in the Analytical Work of the Department by Chupryna Leonid

“…The author concludes that given the rate of development of platforms and programs based on artificial intelligence in 2023-2024 years, in the coming years artificial intelligence will be introduced into all spheres of our life. …”
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Artificial intelligence-driven predictive framework for early detection of still birth by Sarah A. Alzakari, Asma Aldrees, Muhammad Umer, Lucia Cascone, Nisreen Innab, Imran Ashraf

“…Stillbirth prediction is a similar domain where artificial intelligence-based predictive modeling can alleviate this significant global health challenge. …”
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