Anxiety among Medical Students Regarding Generative Artificial Intelligence Models: A Pilot Descriptive Study DOI Open Access
Malik Sallam,

Kholoud Al-Mahzoum,

Yousef Mubrik N. Almutairi

et al.

Published: Aug. 16, 2024

Despite the potential benefits of generative Artificial Intelligence (genAI), concerns about its psy-chological impact on medical students, especially with regard to job displacement, are apparent. This pilot study, conducted in Jordan during July–August 2024, aimed examine specific fears, anxieties, mistrust, and ethical students could harbor towards genAI. Using a cross-sectional survey design, data were collected from 164 studying across various academic years, employing structured self-administered questionnaire an internally consistent FAME scale—representing Fear, Anxiety, Mistrust, Ethics comprising 12 items, three items for each construct. The results indicated variable levels anxiety genAI among participating students: 34.1% reported no role their future careers (n = 56), while 41.5% slightly anxious 61), 22.0% somewhat 36), 2.4% extremely 4). Among constructs, Mistrust was most agreed upon (mean: 12.35±2.78), followed by construct 10.86±2.90), Fear 9.49±3.53), Anxiety 8.91±3.68). Sex, level, Grade Point Average (GPA) did not significantly affect students’ perceptions However, there notable direct association between general elevated scores constructs scale. Prior exposure previous use modify These findings highlighted critical need refined educational strategies address integration training. demonstrated pervasive anxiety, fear, regarding deployment healthcare, indicating necessity curriculum modifi-cations that focus specifically these areas. Interventions should be tailored increase familiarity competency, which would alleviate apprehension equip physicians engage this inevitable technology effectively. study also importance incorporating discussions into courses mistrust human-centered aspects Conclusively, calls proactive evolution education prepare AI-driven healthcare practices shortly ensure well-prepared, confident, ethically informed professional interactions technologies.

Language: Английский

A Review on Innovation in Healthcare Sector (Telehealth) through Artificial Intelligence DOI Open Access
Ayesha Amjad, Piotr Kordel, Gabriela Fernandes

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(8), P. 6655 - 6655

Published: April 14, 2023

Artificial intelligence (AI) has entered the mainstream as computing power improved. The healthcare industry is undergoing dramatic transformations at present. One of most recent industries to heavily use AI telehealth, which used for anything from issuing electronic cards providing individual counselling. influencing telehealth in United States a major way. Using allow clinicians make real-time, data-driven rich choices critical offering better patient experience and improved health outcomes practitioners strive toward expanding virtual care options along continuum. Research medical started AI’s strengths data processing analysis reflecting widespread adoption other sectors. Because difficulties inherent telemedicine’s deployment, there an urgent need broaden its capabilities enhance processes so that they may be tailored address particular issues. This article aimed study different areas telemedicine analyze effect field medicine. literature surveyed this demonstrates infinite growth potential afforded by combination telemedicine. There are four main directions technology heading: monitoring, IT, intelligent aid diagnosis, information with specialists.

Language: Английский

Citations

118

The Role of AI in Skilling, Upskilling, and Reskilling the Workforce DOI
Muhammad Usman Tariq

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 408 - 420

Published: June 3, 2024

Rapid technical breakthroughs and economic upheavals in the modern labour market require constantly evolving workforce capabilities. This change is sparked by AI, which introduces individualised learning paths transforms conventional training methods. study explores how artificial intelligence (AI) uses machine algorithms natural language processing to create personalised programmes identify skill gaps.Analysing AI's capacity deliver customised experiences, abstract probes AI systems adjust different learners' preferences for speed, style, degree of expertise. It intelligent tutoring systems, AI-powered recommendation engines, adaptive emphasising their function selecting tailored information according student performance preferences. Case examples from real world demonstrate can improve worker various sectors scalable flexible it be huge organisations small medium-sized businesses.

Language: Английский

Citations

28

Is AI chatbot recommendation convincing customer? An analytical response based on the elaboration likelihood model DOI Creative Commons
Xiaoyi Zhang,

Angelina Lilac Chen,

Xinyang Piao

et al.

Acta Psychologica, Journal Year: 2024, Volume and Issue: 250, P. 104501 - 104501

Published: Oct. 1, 2024

Language: Английский

Citations

20

Ethical considerations and concerns in the implementation of AI in pharmacy practice: a cross-sectional study DOI Creative Commons
Hisham E. Hasan, Deema Jaber, Omar F. Khabour

et al.

BMC Medical Ethics, Journal Year: 2024, Volume and Issue: 25(1)

Published: May 16, 2024

Abstract Background Integrating artificial intelligence (AI) into healthcare has raised significant ethical concerns. In pharmacy practice, AI offers promising advances but also poses challenges. Methods A cross-sectional study was conducted in countries from the Middle East and North Africa (MENA) region on 501 professionals. 12-item online questionnaire assessed concerns related to adoption of practice. Demographic factors associated with were analyzed via SPSS v.27 software using appropriate statistical tests. Results Participants expressed about patient data privacy (58.9%), cybersecurity threats potential job displacement (62.9%), lack legal regulation (67.0%). Tech-savviness basic understanding correlated higher concern scores ( p < 0.001). Ethical implications include need for informed consent, beneficence, justice, transparency use AI. Conclusion The findings emphasize importance guidelines, education, autonomy adopting Collaboration, privacy, equitable access are crucial responsible

Language: Английский

Citations

15

Utilizing Artificial Intelligence for Stakeholder Engagement and Social Innovation in Addressing Climate Change DOI Open Access
Surajit Bag, Susmi Routray, Santosh Kumar Shrivastav

et al.

Journal of Global Information Management, Journal Year: 2025, Volume and Issue: 32(1), P. 1 - 31

Published: Jan. 4, 2025

This study employs Systematic Literature Review (SLR) and thematic analysis to explore the topics of Artificial Intelligence (AI), Stakeholder Engagement (SE) social innovation. To enhance methodological rigor, integrated literature media recognize within texts using Latent Dirichlet Allocation (LDA), an unsupervised machine learning method. The highlights AI's influence on engagement, aligning with diffusion theory, stressing need emphasize benefits for faster adoption.

Language: Английский

Citations

2

Machines replace human: The impact of intelligent automation job substitution risk on job tenure and career change among hospitality practitioners DOI
Bocong Yuan, Xinyue Liu

International Journal of Hospitality Management, Journal Year: 2025, Volume and Issue: 126, P. 104099 - 104099

Published: Jan. 13, 2025

Language: Английский

Citations

1

Transforming boundaries: how does ChatGPT change knowledge work? DOI Creative Commons
Paavo Ritala,

Mika Ruokonen,

Laavanya Ramaul

et al.

Journal of Business Strategy, Journal Year: 2023, Volume and Issue: 45(3), P. 214 - 220

Published: July 4, 2023

Purpose This paper aims to demonstrate how the new generative artificial intelligence (AI) tool ChatGPT changes knowledge work for individuals and what are implications of this change companies. Design/methodology/approach Based on 22 interviews from informants across different industries, authors conducted an inductive analysis use utility in work. initial analysis, they discovered ways which either augments human agency, makes it redundant or lacks capability that regard. Findings The develop a 2 × framework algorithmic assistance, demonstrates four (and AI general) interacts with workers, depending usefulness particular tasks type task (routine vs creative). Practical insights interviews, propose set actionable questions individual workers companies viewpoints: skills capabilities; team structure workflow coordination; culture mindset; business model innovation. Originality/value To best authors’ knowledge, study is among first identify analyze by industries.

Language: Английский

Citations

35

Use of Artificial Intelligence in Terms of Open Innovation Process and Management DOI Open Access
Aleksandra Kuzior, Mariya Sira,

Paulina Brożek

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(9), P. 7205 - 7205

Published: April 26, 2023

Organizations see open innovation as important to their future growth strategy. The increasing interest in artificial intelligence has led a heightened its potential applications many industries. Many firms invest heavily intending innovate business models, though managers often lack understanding when trying implement operations. data was retrieved from the Scopus database and analyzed using R Bibliometrix Biblioshiny VOSviewer software. aim of article is indicate consistency formation processes while applying provide profile perspectives on adoption management. This paper provides deeper perception how it can be used drive model within use management innovation. authors discuss recent advances have created new opportunities for increased external collaboration. study found that rise key technology promoting openness collaboration ushered era achievable Our presented findings suggest sequence powered by insights into application

Language: Английский

Citations

34

Exploring the impact of language models, such as ChatGPT, on student learning and assessment DOI Creative Commons
Araz Zirar

Review of Education, Journal Year: 2023, Volume and Issue: 11(3)

Published: Oct. 30, 2023

Abstract Recent developments in language models, such as ChatGPT, have sparked debate. These tools can help, for example, dyslexic people, to write formal emails from a prompt and be used by students generate assessed work. Proponents argue that models enhance the student experience academic achievement. Those concerned impede learning call cautious approach their adoption. This paper aims provide insights into role of reshaping assessment higher education. For purpose, it probes impact specifically on assessment. It also explores implications education settings, focusing effects pedagogy evaluation. Using Scopus database, search protocol was employed identify 25 articles based relevant keywords selection criteria. The developed themes suggest may alter how learn are assessed. While information problem‐solving critical thinking, reliance them without evaluation adversely impacts learning. Language teaching material evaluate responses, but should limited ‘play specific defined role’. Integration is only helpful if educators play an active effective checking generated material's validity, reliability accuracy. Propositions potential research questions included encourage future research.

Language: Английский

Citations

22

Accessibility in Tourism 5.0 Approach: Enabling Inclusive and Meaningful Tourist Experiences DOI Creative Commons
Miroslav D. Vujičić, Uglješa Stankov, Biljana Basarin

et al.

Published: Jan. 1, 2024

Abstract The advent of Industry 4.0 technologies, encompassing the Internet Things (IoT), Big data analytics, artificial intelligence (AI), blockchain, location-based services, and virtual augmented (VR/AR) reality systems, has revolutionized tourism landscape, automating production service delivery. As momentum propels us toward tourism-specific concept Tourism 4.0, questions arise about ability humans to keep pace with rapid technological advancements ensure these innovations genuinely benefit society. ongoing debate prompts a call for humanizing echoed in emerging 5.0, advocating more responsible humane technology approaches. Concurrently, voices championing 5.0 emphasize need align diverse human needs enhance accessibility inclusive meaningful travel experience. Through this chapter, we endeavor establish Tourist as holistic alternative prevailing digital practices within typically limited task-focused sector. This chapter critically examines evolution from drawing parallels 5.0. central focus is placed on imperative accessibility, exploring how it takes precedence latest developments contributes creation fulfilling experiences.

Language: Английский

Citations

12