Digital Twins Generated by Artificial Intelligence in Personalized Healthcare by Marian Łukaniszyn, Łukasz Majka, Barbara Grochowicz, Dariusz Mikołajewski, Aleksandra Kawala-Sterniuk

“…Digital society strategies in healthcare include the rapid development of digital twins (DTs) for patients and human organs in medical research and the use of artificial intelligence (AI) in clinical practice to develop effective treatments in a cheaper, quicker, and more effective manner. …”
Get full text

Artificial Intelligence in Temporomandibular Joint Disorders: An Umbrella Review by Vini Mehta, Snehasish Tripathy, Toufiq Noor, Ankita Mathur

“…This review evaluated systematic reviews (SRs) and meta‐analyses (MAs) that reported TMD patients/datasets, any AI model as intervention, no treatment, placebo as comparator and accuracy, sensitivity, specificity, or predictive value of AI models as outcome. …”
Get full text

The Role of Artificial Intelligence in the Diagnosis and Management of Rheumatoid Arthritis by Adriana Liliana Vlad, Corina Popazu, Alina-Maria Lescai, Doina Carina Voinescu, Alexia Anastasia Ștefania Baltă

“…In the context of rheumatoid arthritis, a chronic autoimmune disease that demands timely intervention, artificial intelligence shows promise in overcoming diagnostic delays and optimising disease management. …”
Get full text

Legal Means of Providing the Principle of Transparency of the Artificial Intelligence by Yu. S. Kharitonova

“…Objective: to analyze the current technological and legal theories in order to define the content of the transparency principle of the artificial intelligence functioning from the viewpoint of legal regulation, choice of applicable means of legal regulation, and establishing objective limits to legal intervention into the technological sphere through regulatory impact.Methods: the methodological basis of the research is the set of general scientific (analysis, synthesis, induction, deduction) and specific legal (historical-legal, formal-legal, comparative-legal) methods of scientific cognition.Results: the author critically analyzed the norms and proposals for normative formalization of the artificial intelligence transparency principle from the viewpoint of impossibility to obtain the full technological transparency of artificial intelligence. …”
Get full text

THE EVOLVE PROGRAM: A PSYCHO-SOCIAL INTERVENTION PROGRAM FOR TARGETED VIOLENCE by Michael King

Get full text

Influencing factors of leakage in patients with urostomy and research progress of nursing interventions (尿路造口患者渗漏的影响因素及护理研究进展) by WANG Ping (王萍), WANG Jun (王俊), JI Xuebi (吉学碧), WANG Haifeng (王海峰)

Get full text

Electrophysiological approaches to informing therapeutic interventions with deep brain stimulation by Atefeh Asadi, Alex I. Wiesman, Christoph Wiest, Sylvain Baillet, Huiling Tan, Muthuraman Muthuraman

Get full text

Developing and validating an artificial intelligence ethical awareness scale for secondary and university students: Cultivating ethical awareness through problem-solving with artif... by Siu Cheung Kong, Jinyu Zhu

“…Although there is growing attention to artificial intelligence (AI) ethics education with the rapid surge of AI technology, little research has explored the use of problem-solving to cultivate students' AI ethical awareness. …”
Get full text

Bone-brain interaction: mechanisms and potential intervention strategies of biomaterials by Jiaze Yu, Luli Ji, Yongxian Liu, Xiaogang Wang, Jing Wang, Changsheng Liu

Get full text

Predicting metabolite response to dietary intervention using deep learning by Tong Wang, Hannah D. Holscher, Sergei Maslov, Frank B. Hu, Scott T. Weiss, Yang-Yu Liu

Get full text

Teaching Transactional Analysis and Couples' Spiritual Intelligence in Isfahan, Iran by Fahimeh Ardeshiri-Lordejani, Taebeh Sharifi, Mohammad Ghasemi-pirbloti

“…Background and Objectives: One of the types of intelligences to which attention has been paid is the spiritual intelligence, which causes the person to find deep insight against life events and accidents and not be afraid of life difficulties and challenges. …”
Get full text

Development and psychometric evaluation of the artificial intelligence attitude scale for nurses by Tuğba Öztürk Yıldırım, Mesut Karaman

“…Abstract Background Since artificial intelligence is transforming healthcare, targeted interventions aimed at optimizing its integration and use in clinical settings requires the assessment of nurses’ attitudes towards AI. …”
Get full text

Invulnerability bias in perceptions of artificial intelligence’s future impact on employment by Felipe Barrera-Jimenez, Jose Luis Arroyo-Barrigüete, Eduardo C. Garrido-Merchán, Gonzalo Grinda-Luna

“…Abstract The adoption of Artificial Intelligence (AI) is reshaping the labor market; however, individuals’ perceptions of its impact remain inconsistent. …”
Get full text

Integrating artificial intelligence in healthcare: applications, challenges, and future directions by Peng Lean Chong, Vikneswaran Vaigeshwari, Basir Khan Mohammed Reyasudin, binti Ros Azamin Noor Hidayah, Purnshatman Tatchanaamoorti, Jian Ai Yeow, Feng Yuan Kong

“…Artificial intelligence (AI) has demonstrated remarkable potential in transforming medical diagnostics across various healthcare domains. …”
Get full text

Emotional intelligence as a predictor of clinical competence in nursing students by Maryam Aghabarary, Mahsa Khedmatizare

“…Accordingly, it is recommended to design and implement interventional studies aimed at enhancing students’ emotional intelligence and evaluating the effectiveness of such interventions on their emotional intelligence and clinical competence.…”
Get full text

Bug Wars: Artificial Intelligence Strikes Back in Sepsis Management by Georgios I. Barkas, Ilias E. Dimeas, Ourania S. Kotsiou

“…This systematic scoping review evaluates the current landscape of artificial intelligence (AI) and machine learning (ML) applications in sepsis care, focusing on early detection, personalized antibiotic management, and resistance forecasting. …”
Get full text

Artificial Intelligence in the Organization of Nursing Care: A Scoping Review by João Ventura-Silva, Maria Manuela Martins, Letícia de Lima Trindade, Ana da Conceição Alves Faria, Soraia Pereira, Samuel Spiegelberg Zuge, Olga Maria Pimenta Lopes Ribeiro

“…Background: The integration of artificial intelligence (AI) in the organization of nursing care has continually evolved, driven by the need for innovative solutions to ensure quality of care. …”
Get full text

Intelligent System for Student Performance Prediction Using Machine Learning by Mustafa S. Ibrahim Alsumaidaie, Ahmed Adil Nafea, Abdulrahman Abbas Mukhlif, Ruqaiya D. Jalal, Mohammed M AL-Ani

“…This study aims to develop an intelligent solution for predicting student performance using supervised machine learning algorithms. …”
Get full text

Artificial intelligence for predicting the risk of bone fragility fractures in osteoporosis by Fabio Massimo Ulivieri, Carmelo Messina, Francesco Maria Vitale, Luca Rinaudo, Enzo Grossi

“…Abstract Osteoporosis is widespread with a high incidence rate, resulting in fragility fractures which are a major contributor to mortality among the elderly. Artificial intelligence (AI), in particular artificial neural networks, appears to be useful in managing osteoporosis complexity, where bone mineral density usually reduces with aging, losing the pivotal role in decision-making regarding fracture prediction and treatment choice. …”
Get full text

An analytic research and review of the literature on practice of artificial intelligence in healthcare by Salma Mizna, Suraj Arora, Priyanka Saluja, Gotam Das, Waled Abdulmalek Alanesi

“…Abstract Artificial intelligence (AI) has transformed healthcare, particularly in robot-assisted surgery, rehabilitation, medical imaging and diagnostics, virtual patient care, medical research and drug discovery, patient engagement and adherence, and administrative applications. …”
Get full text