Digital health interventions to treat overweight and obesity in children and adolescents: An umbrella review DOI Open Access
Tone Nygaard Flølo, Christine Tørris, Kirsti Riiser

и другие.

Obesity Reviews, Год журнала: 2025, Номер unknown

Опубликована: Фев. 19, 2025

Summary Digital health interventions can support the treatment of overweight and obesity in children adolescents, yet primary research systematic reviews leave uncertain evidence. In this umbrella review meta‐analyses, we methodologically appraise investigate effects digital used to manage children. Systematic searches were conducted July 2023 Medline (Ovid), CINAHL (EBSCOhost), Cochrane, EMBASE PsycINFO Epistemonikos Web Science (Core Collection). Reports on experiences and/or effectiveness aimed at treating with or aged 0 19 years their parents eligible for inclusion. Screening, data extraction, methodological appraisal blinded pairs researchers. total, identified 2927 citations, which 16 10 reporting 162 distinct studies, included. Effects anthropometric measures all small when analyzing BMI BMI‐z‐scores combined. Future should strive conduct more homogeneous solid research, employing robust designs, standardized outcomes, a longer follow‐up time. Designing future larger extent include end‐users ensure usability relevance population, adding significance that are evaluated.

Язык: Английский

Chat-GPT; validating Technology Acceptance Model (TAM) in education sector via ubiquitous learning mechanism DOI
Naveed Saif, Sajid Ullah Khan, Imrab Shaheen

и другие.

Computers in Human Behavior, Год журнала: 2023, Номер 154, С. 108097 - 108097

Опубликована: Дек. 27, 2023

Язык: Английский

Процитировано

101

Advancing nursing practice with artificial intelligence: Enhancing preparedness for the future DOI Creative Commons
Moustaq Karim Khan Rony, Mst. Rina Parvin, Silvia Ferdousi

и другие.

Nursing Open, Год журнала: 2023, Номер 11(1)

Опубликована: Дек. 20, 2023

This article aimed to explore the role of AI in advancing nursing practice, focusing on its impact readiness for future.

Язык: Английский

Процитировано

61

Artificial Intelligence in Regenerative Medicine: Applications and Implications DOI Creative Commons
Hamed Nosrati, Masoud Nosrati

Biomimetics, Год журнала: 2023, Номер 8(5), С. 442 - 442

Опубликована: Сен. 20, 2023

The field of regenerative medicine is constantly advancing and aims to repair, regenerate, or substitute impaired unhealthy tissues organs using cutting-edge approaches such as stem cell-based therapies, gene therapy, tissue engineering. Nevertheless, incorporating artificial intelligence (AI) technologies has opened new doors for research in this field. AI refers the ability machines perform tasks that typically require human ways learning patterns data applying without being explicitly programmed. potential improve accelerate various aspects development, particularly, although not exclusively, when complex are involved. This review paper provides an overview context medicine, discusses its applications with a focus on personalized highlights challenges opportunities

Язык: Английский

Процитировано

59

Evaluating the Sensitivity, Specificity, and Accuracy of ChatGPT-3.5, ChatGPT-4, Bing AI, and Bard Against Conventional Drug-Drug Interactions Clinical Tools DOI Creative Commons
Fahmi Y. Al-Ashwal, Mohammed Zawiah, Lobna Gharaibeh

и другие.

Drug Healthcare and Patient Safety, Год журнала: 2023, Номер Volume 15, С. 137 - 147

Опубликована: Сен. 1, 2023

AI platforms are equipped with advanced ‎algorithms that have the potential to offer a wide range of ‎applications in healthcare services. However, information about accuracy chatbots against ‎conventional drug-drug interaction tools is limited‎. This study aimed assess sensitivity, specificity, and ChatGPT-3.5, ChatGPT-4, Bing AI, Bard predicting interactions.

Язык: Английский

Процитировано

57

Artificial intelligence in future nursing care: Exploring perspectives of nursing professionals - A descriptive qualitative study DOI Creative Commons
Moustaq Karim Khan Rony,

Ibne Kayesh,

Shuvashish Das Bala

и другие.

Heliyon, Год журнала: 2024, Номер 10(4), С. e25718 - e25718

Опубликована: Фев. 1, 2024

BackgroundThe healthcare landscape is rapidly evolving, with artificial intelligence (AI) emerging as a transformative force. In this context, understanding the viewpoints of nursing professionals regarding integration AI in future care crucial.AimsThis study aimed to provide insights into perceptions role shaping healthcare.MethodsA cohort 23 was recruited between April 7, 2023, and May 4, for study. Employing thematic analysis approach, qualitative data from interviews were analyzed. Verbatim transcripts underwent rigorous coding, these codes organized themes through constant comparative analysis. The refined developed grouping related codes, ensuring an authentic representation participants' viewpoints.ResultsAfter careful analysis, ten key emerged including: (I) Perceptions readiness; (II) Benefits concerns; (III) Enhanced patient outcomes; (IV) Collaboration workflow; (V) Human-tech balance: (VI) Training skill development; (VII) Ethical legal considerations; (VIII) implementation barriers; (IX) Patient-nurse relationships; (X) Future vision adaptation.ConclusionThis provides valuable professionals' perspectives on care. It highlights their enthusiasm AI's potential benefits while emphasizing importance ethical compassionate practice. findings underscore need comprehensive training programs equip skills necessary successful integration. Ultimately, research contributes ongoing discourse nursing, paving way where innovative technologies complement enhance delivery patient-centered

Язык: Английский

Процитировано

51

Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning DOI Creative Commons
Muhammad Farrukh Shahzad, Shuo Xu, Weng Marc Lim

и другие.

Heliyon, Год журнала: 2024, Номер 10(8), С. e29523 - e29523

Опубликована: Апрель 1, 2024

The advancement of artificial intelligence (AI) and the ubiquity social media have become transformative agents in contemporary educational ecosystems. spotlight this inquiry focuses on nexus between AI usage relation to academic performance mental well-being, role smart learning facilitating these relationships. Using partial least squares-structural equation modeling (PLS-SEM) a sample 401 Chinese university students. study results reveal that both positive impact well-being among Furthermore, serves as mediating variable, amplifying beneficial effects well-being. These revelations contribute discourse technology-enhanced education, showing embracing can student

Язык: Английский

Процитировано

37

ChatGPT and the Generation of Digitally Born “Knowledge”: How Does a Generative AI Language Model Interpret Cultural Heritage Values? DOI Creative Commons
Dirk Spennemann

Knowledge, Год журнала: 2023, Номер 3(3), С. 480 - 512

Опубликована: Сен. 18, 2023

The public release of ChatGPT, a generative artificial intelligence language model, caused wide-spread interest in its abilities but also concern about the implications application on academia, depending whether it was deemed benevolent (e.g., supporting analysis and simplification tasks) or malevolent assignment writing academic misconduct). While ChatGPT has been shown to provide answers sufficient quality pass some university exams, capacity write essays that require an exploration value concepts is unknown. This paper presents results study where ChatGPT-4 (released May 2023) tasked with 1500-word essay discuss nature values used assessment cultural heritage significance. Based 36 iterations, wrote limited length 50% stipulated word count being primarily descriptive without any depth complexity. concepts, which are often flawed suffer from inverted logic, presented arbitrary sequence coherence defined line argument. Given splits uses one more words develop tangential arguments. provides references as tasked, many fictitious, albeit plausible authors titles. At present, ability critique own work seems unable incorporate meaningful way improve previous draft. Setting aside conceptual flaws such several could possibly junior high school fall short what would be expected senior school, let alone at college level.

Язык: Английский

Процитировано

39

Role of Glucagon-Like Peptide-1 Receptor Agonists in People With Infertility and Pregnancy DOI

Johanna Finkle,

Brian Brost

Obstetrics and Gynecology, Год журнала: 2025, Номер unknown

Опубликована: Янв. 23, 2025

Obesity is a chronic condition that causes significant morbidity and mortality in people the United States around world. Traditional means of weight loss include diet, exercise, behavioral modifications, surgery. New medications, glucagon-like peptide-1 receptor agonists, are revolutionizing management but have implications for fertility pregnancy. associated with infertility may affect response to ovulation induction medications. In pregnancy, obesity increases risks spontaneous abortion, birth defects, gestational diabetes, hypertensive disorders cesarean delivery, stillbirth. Lifestyle changes alone not improved outcomes. Glucagon-like agonists new medications targeting gut hormones can help achieve their goals contraindicated Obstetrician-gynecologists should work patients manage these before they become pregnant, between pregnancies, after delivery.

Язык: Английский

Процитировано

1

Integrating Ideal Characteristics of Chat-GPT Mechanisms into the Metaverse: Knowledge, Transparency, and Ethics DOI
Abbas Gatea Atiyah,

NimetAllah Nasser Faris,

Gadaf Rexhepi

и другие.

Lecture notes in networks and systems, Год журнала: 2023, Номер unknown, С. 131 - 141

Опубликована: Янв. 1, 2023

Язык: Английский

Процитировано

21

The impact of AI‐based decision support systems on nursing workflows in critical care units DOI
Wesam T. Almagharbeh

International Nursing Review, Год журнала: 2024, Номер unknown

Опубликована: Июль 8, 2024

This research examines the effects of artificial intelligence (AI)-based decision support systems (DSS) on operational processes nurses in critical care units (CCU) located Amman, Jordan.

Язык: Английский

Процитировано

6