IoT Revolutionizes Humidity Measurement and Management in Smart Cities to Enhance Health and Wellness

Mesopotamian Journal of Artificial Intelligence in Healthcare, Год журнала: 2024, Номер 2024, С. 110 - 117

Опубликована: Авг. 5, 2024

This paper sets itself in a context of examining how IoT technology is disrupting and revolutionizing the monitoring control relative humidity different spheres smart cities with special reference to enhancement well-being information society. The authors discuss current emergent research topics IoT-based sensors, wireless communication systems, big data analytics for controlling real time. also presents an outlook into various fields such as agriculture, healthcare, intelligent houses, industries, well environment, indication managing accurately enhances crop productivity, disease prevention, internal air quality, general wellbeing public. covers on use artificial intelligence machine learning analysis terms prediction control. Admittedly, there are limitations associated including security, compatibility, power supply issues devices, etc. future development described includes improved edge computing, block-chain technology. Therefore, find that techniques measurement management effectively used healthier, comfortable, sustainable environments enhance quality life.

Язык: Английский

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Bibliometric top ten healthcare-related ChatGPT publications in the first ChatGPT anniversary

Narra J, Год журнала: 2024, Номер 4(2), С. e917 - e917

Опубликована: Авг. 5, 2024

Since its public release on November 30, 2022, ChatGPT has shown promising potential in diverse healthcare applications despite ethical challenges, privacy issues, and possible biases. The aim of this study was to identify assess the most influential publications field utility using bibliometric analysis. employed an advanced search three databases, Scopus, Web Science, Google Scholar, ChatGPT-related records education, research, practice between 27 2023. ranking based retrieved citation count each database. additional alternative metrics that were evaluated included (1) Semantic Scholar highly citations, (2) PlumX captures, (3) mentions, (4) social media (5) Altmetric Attention Scores (AASs). A total 22 unique published 17 different scientific journals from 14 publishers identified databases. Only two top 10 list across Variable publication types identified, with common being editorial/commentary (n=8/22, 36.4%). Nine had corresponding authors affiliated institutions United States (40.9%). range varied per database, highest (1019-121), followed by Scopus (242-88), Science (171-23). citations correlated significantly following metrics: (Spearman's correlation coefficient ρ=0.840,

Язык: Английский

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Human versus Artificial Intelligence: ChatGPT-4 Outperforming Bing, Bard, ChatGPT-3.5 and Humans in Clinical Chemistry Multiple-Choice Questions

Advances in Medical Education and Practice, Год журнала: 2024, Номер Volume 15, С. 857 - 871

Опубликована: Сен. 1, 2024

Artificial intelligence (AI) chatbots excel in language understanding and generation. These models can transform healthcare education practice. However, it is important to assess the performance of such AI various topics highlight its strengths possible limitations. This study aimed evaluate ChatGPT (GPT-3.5 GPT-4), Bing, Bard compared human students at a postgraduate master's level Medical Laboratory Sciences.

Язык: Английский

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ChatGPT Usage and Attitudes are Driven by Perceptions of Usefulness, Ease of Use, Risks, and Psycho-Social Impact: A Study among University Students in the UAE

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Фев. 1, 2024

Abstract Background The use of ChatGPT among university students has gained popularity. current study aimed to assess the factors driving attitude and usage as an example generative artificial intelligence in United Arab Emirates (UAE). Methods This cross-sectional was based on a previously validated technology acceptance model (TAM)-based survey instrument termed TAME-ChatGPT. self-administered e-survey distributed by emails for enrolled UAE universities during September–December 2023 using convenience-based approach. Assessment demographic, academic, TAME-ChatGPT constructs role conducted univariate followed multivariate analyses. Results final sample comprised 608 participants, 91.0% which heard while 85.4% used before study. Univariate analysis indicated that positive associated with three namely lower perceived risks, anxiety, higher scores technology/social influence. For usage, being male, nationality, point grade average well four usefulness, risks use, behavior/cognitive construct ease construct. In analysis, only explained variance towards (80.8%) its (76.9%). Conclusions findings is commonplace UAE. determinants included cognitive behavioral factors, determined These should be considered understanding motivators successful adoption AI including education.

Язык: Английский

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Perspectives of University Educators Regarding ChatGPT: A Validation Study Based on the Technology Acceptance Model

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Фев. 6, 2024

Background ChatGPT is a generative artificial intelligence (AI) model that has promising potential in higher education. Nevertheless, the integration of into education requires assessment university educators’ perspectives regarding this novel technology. This study aimed to develop and validate survey instrument specifically tailored assess usability acceptability among educators. Methods Development items was based on Technology Acceptance Model (TAM) followed by expert content validity pilot testing improve phrasing items. The involved demographic variables addition total 40 TAM-based distributed educators Jordan two phases: February 2023–April 2023 October 2023. self-administered via convenience approach contacts authors. Assessment construct done through exploratory factor analysis (EFA) principal component (PCA), while internal consistency inferred constructs checked using Cronbach’s α. Results final sample comprised 236 educators, with 72% who heard before (n = 169), whom 76 have already used (45%). EFA showed significant Bartlett’s test sphericity (P < .001) adequate Kaiser-Meyer-Olkin measure (KMO .698). six explained cumulative 64% variance attitude ChatGPT. These 31 classified into: (1) “Effectiveness” (α .845), (2) “Anxiety” .862), (3) “Technology readiness .885), (4) Perceived usefulness .848), (5) Social influence .803), (6) risk .796). Conclusions identified key could be exploited for comprehensive understanding educators' toward herein termed “Ed-TAME-ChatGPT” positive influencing factors such as perceived effectiveness, technology, social negative including anxiety risk. developed can provide robust framework further investigation given nearly inevitable AI

Язык: Английский

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Language discrepancies in the performance of generative artificial intelligence models: an examination of infectious disease queries in English and Arabic

BMC Infectious Diseases, Год журнала: 2024, Номер 24(1)

Опубликована: Авг. 8, 2024

Assessment of artificial intelligence (AI)-based models across languages is crucial to ensure equitable access and accuracy information in multilingual contexts. This study aimed compare AI model efficiency English Arabic for infectious disease queries.

Язык: Английский

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Anxiety among Medical Students Regarding Generative Artificial Intelligence Models: A Pilot Descriptive Study

Опубликована: Авг. 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.

Язык: Английский

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The performance of OpenAI ChatGPT-4 and Google Gemini in virology multiple-choice questions: a comparative analysis of English and Arabic responses

BMC Research Notes, Год журнала: 2024, Номер 17(1)

Опубликована: Сен. 3, 2024

Язык: Английский

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ChatGPT usage and attitudes are driven by perceptions of usefulness, ease of use, risks, and psycho-social impact: a study among university students in the UAE

Frontiers in Education, Год журнала: 2024, Номер 9

Опубликована: Авг. 7, 2024

Background The use of ChatGPT among university students has gained a recent popularity. current study aimed to assess the factors driving attitude and usage as an example generative artificial intelligence (genAI) in United Arab Emirates (UAE). Methods This cross-sectional was based on previously validated Technology Acceptance Model (TAM)-based survey instrument termed TAME-ChatGPT. self-administered e-survey distributed by emails for enrolled UAE universities during September–December 2023 using convenience-based approach. Assessment demographic academic variables, TAME-ChatGPT constructs’ roles conducted univariate followed multivariate analyses. Results final sample comprised 608 participants, 91.0% whom heard while 85.4% used before study. Univariate analysis indicated that positive associated with three constructs namely, lower perceived risks, anxiety, higher scores technology/social influence. For usage, being male, nationality, point grade average (GPA) well four usefulness, risks use, behavior/cognitive construct ease-of-use construct. In analysis, only explained variance towards (80.8%) its (76.9%). Conclusion findings is commonplace UAE. determinants included cognitive behavioral factors, ease determined These should be considered understanding motivators successful adoption genAI including education.

Язык: Английский

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Enhancing risk management in hospitals: leveraging artificial intelligence for improved outcomes

Italian Journal of Medicine, Год журнала: 2024, Номер 18(2)

Опубликована: Апрель 15, 2024

In hospital settings, effective risk management is critical to ensuring patient safety, regulatory compliance, and operational effectiveness. Conventional approaches assessment mitigation frequently rely on manual procedures retroactive analysis, which might not be sufficient recognize respond new risks as they arise. This study examines how artificial intelligence (AI) technologies can improve in healthcare facilities, fortifying safety precautions guidelines while improving the standard of care overall. Hospitals proactively identify mitigate risks, optimize resource allocation, clinical outcomes by utilizing AI-driven predictive analytics, natural language processing, machine learning algorithms. The different applications AI are discussed this paper, along with opportunities, problems, suggestions for their use settings.

Язык: Английский

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