Revolutionizing healthcare: the role of artificial intelligence in clinical practice

BMC Medical Education, Год журнала: 2023, Номер 23(1)

Опубликована: Сен. 22, 2023

Abstract Introduction Healthcare systems are complex and challenging for all stakeholders, but artificial intelligence (AI) has transformed various fields, including healthcare, with the potential to improve patient care quality of life. Rapid AI advancements can revolutionize healthcare by integrating it into clinical practice. Reporting AI’s role in practice is crucial successful implementation equipping providers essential knowledge tools. Research Significance This review article provides a comprehensive up-to-date overview current state practice, its applications disease diagnosis, treatment recommendations, engagement. It also discusses associated challenges, covering ethical legal considerations need human expertise. By doing so, enhances understanding significance supports organizations effectively adopting technologies. Materials Methods The investigation analyzed use system relevant indexed literature, such as PubMed/Medline, Scopus, EMBASE, no time constraints limited articles published English. focused question explores impact applying settings outcomes this application. Results Integrating holds excellent improving selection, laboratory testing. tools leverage large datasets identify patterns surpass performance several aspects. offers increased accuracy, reduced costs, savings while minimizing errors. personalized medicine, optimize medication dosages, enhance population health management, establish guidelines, provide virtual assistants, support mental care, education, influence patient-physician trust. Conclusion be used diagnose diseases, develop plans, assist clinicians decision-making. Rather than simply automating tasks, about developing technologies that across settings. However, challenges related data privacy, bias, expertise must addressed responsible effective healthcare.

Язык: Английский

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Transforming Education: A Comprehensive Review of Generative Artificial Intelligence in Educational Settings through Bibliometric and Content Analysis

Sustainability, Год журнала: 2023, Номер 15(17), С. 12983 - 12983

Опубликована: Авг. 29, 2023

In the ever-evolving era of technological advancements, generative artificial intelligence (GAI) emerges as a transformative force, revolutionizing education. This review paper, guided by PRISMA framework, presents comprehensive analysis GAI in education, synthesizing key insights from selection 207 research papers to identify gaps and future directions field. study begins with content that explores GAI’s impact specific educational domains, including medical education engineering The versatile applications encompass assessment, personalized learning support, intelligent tutoring systems. Ethical considerations, interdisciplinary collaboration, responsible technology use are highlighted, emphasizing need for transparent models addressing biases. Subsequently, bibliometric is conducted, examining prominent AI tools, focus, geographic distribution, collaboration. ChatGPT dominant tool, reveals significant exponential growth 2023. Moreover, this paper identifies promising directions, such GAI-enhanced curriculum design longitudinal studies tracking its long-term on outcomes. These findings provide understanding potential reshaping offer valuable researchers, educators, policymakers interested intersection

Язык: Английский

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Impact of AI assistance on student agency

Computers & Education, Год журнала: 2023, Номер 210, С. 104967 - 104967

Опубликована: Дек. 1, 2023

AI-powered learning technologies are increasingly being used to automate and scaffold activities (e.g., personalised reminders for completing tasks, automated real-time feedback improving writing, or recommendations when what study). While the prevailing view is that these generally have a positive effect on student learning, their impact students' agency ability self-regulate under-explored. Do students learn from regular, detailed provided by AI systems, will they continue exhibit similar behaviour in absence of assistance? Or do instead rely assistance without it? To contribute filling this research gap, we conducted randomised controlled experiment explored context peer feedback. With 1625 across 10 courses, an was using review. During initial four-week period, were guided features utilised techniques such as rule-based suggestion detection, semantic similarity, comparison with previous comments made reviewer enhance submissions if deemed insufficiently general nature. Over following four weeks, divided into different groups: control (AI) received prompts, (NR) no (SR) self-monitoring checklists place (SAI) had access both prompts checklists. Results suggest tended rather than assistance. If removed, self-regulated strategies could help gap but not effective also showed hybrid human-AI approaches complement more its own. We conclude discussing broader benefits, challenges implications relying relation world where learn, live work AI.

Язык: Английский

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Education 4.0 and 5.0: Integrating Artificial Intelligence (AI) for Personalized and Adaptive Learning

SSRN Electronic Journal, Год журнала: 2023, Номер unknown

Опубликована: Янв. 1, 2023

This research paper explores how the integration of Artificial Intelligence (AI) in education sector is bringing about transformative changes, particularly within frameworks Education 4.0 and 5.0. In response to evolving technological landscape, undergoing a shift address challenges 21st century, moving away from traditional models embrace more personalized adaptive approaches. represents significant where technology, notably AI, harnessed enhance learning experience. The investigates utilization AI technologies, such as machine algorithms natural language processing, create environments. These environments are designed meet specific needs preferences individual learners, fostering engaging effective educational move 3.0 signifies departure standardized, one-size-fits-all approaches education, embracing dynamic responsive system. Expanding on principles 4.0, 5.0 takes step further by emphasizing learning. delves into concept learning, exploring systems can dynamically adjust instructional strategies based real-time feedback learner progress. seeks optimize journey tailoring content, pace, assessments each student's abilities style, aiming improve overall outcomes. Additionally, examines ethical considerations associated with widespread adoption education. It critically evaluates issues related data privacy, bias algorithms, potential impact teacher-student relationships. findings emphasize need strike balance between innovation considerations, ensuring responsible

Язык: Английский

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Students’ use of large language models in engineering education: A case study on technology acceptance, perceptions, efficacy, and detection chances

Computers and Education Artificial Intelligence, Год журнала: 2023, Номер 5, С. 100172 - 100172

Опубликована: Янв. 1, 2023

The accessibility of advanced Artificial Intelligence-based tools, like ChatGPT, has made Large Language Models (LLMs) readily available to students. These LLMs can generate original written content assist students in their academic assessments. With the rapid adoption LLMs, exemplified by popularity OpenAI's there is a growing need explore application education. Few studies examine students' use as learning tools. This paper focuses on ChatGPT engineering higher education through an in-depth case study. It investigates whether high-quality university essays with assistance, existing identification systems detect produced and how perceive usefulness acceptance learning. research adopts deductive/inductive approach, combining conceptualization empirical evidence analysis. study involves mechanical management students, who compose using LLMs. essay assessment showed good results, but some recommendations emerged for teachers Thirteen detectors were tested without achieving satisfactory suggesting avoid ban. In addition, administered questionnaire based constructs items that follow technology models literature. results contribute qualitative highlighting possible future educational practices.

Язык: Английский

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Empowering education development through AIGC: A systematic literature review

Education and Information Technologies, Год журнала: 2024, Номер 29(13), С. 17485 - 17537

Опубликована: Фев. 29, 2024

Язык: Английский

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Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning

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

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ChatGPT Promises and Challenges in Education: Computational and Ethical Perspectives

Education Sciences, Год журнала: 2024, Номер 14(8), С. 814 - 814

Опубликована: Июль 25, 2024

This paper investigates the integration of ChatGPT into educational environments, focusing on its potential to enhance personalized learning and ethical concerns it raises. Through a systematic literature review, interest analysis, case studies, research scrutinizes application in diverse contexts, evaluating impact teaching practices. The key findings reveal that can significantly enrich education by offering dynamic, experiences real-time feedback, thereby boosting efficiency learner engagement. However, study also highlights significant challenges, such as biases AI algorithms may distort content inability replicate emotional interpersonal dynamics traditional teacher–student interactions. acknowledges fast-paced evolution technologies, which render some obsolete, underscoring need for ongoing adapt strategies accordingly. provides balanced analysis opportunities challenges education, emphasizing considerations strategic insights responsible technologies. These are valuable educators, policymakers, researchers involved digital transformation education.

Язык: Английский

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Consumer perceptions of AI chatbots on Twitter (X) and Reddit: an analysis of social media sentiment and interactive marketing strategies

Journal of Research in Interactive Marketing, Год журнала: 2025, Номер unknown

Опубликована: Янв. 27, 2025

Purpose This study investigated consumer perceptions of AI chatbots focusing on sentiment analysis across Twitter (X) and Reddit during ChatGPT3 through ChatGPT4 launches. It identifies user sentiments: positive, negative, or neutral explores their impact chatbot deployment in interactive marketing. The goal was to understand engagement dynamics provide insights for enhancing marketing strategies interactions with chatbots. Design/methodology/approach Using analysis, this research examined the nature scope discussions surrounding methodological approach allowed a nuanced understanding predominant neutral, expressed by users providing into interaction patterns. Findings findings reveal diverse range sentiments toward ChatGPT 3, reflecting varying degrees acceptance skepticism. These varied are crucial organizations shaping strategies, particularly how they deploy brand interaction. Practical implications Trust positive ChatGPT, platforms like Reddit, suggest it is becoming part everyday life. However, concerns about its human jobs lack emotional intelligence persist. Users still weigh benefits drawbacks negative these worries. For marketers, presents an opportunity differentiate customer-facing roles. Addressing risks ethical AI, marketers can better engage consumers refine future deployments, ensuring enhances rather than detracts from customer experience. Originality/value paper makes unique contribution existing literature demonstrating perceptions, mere acceptance, directly influence strategic use By offers deeper social media that campaigns enhance emerging technologies digital landscape.

Язык: Английский

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Exploring the Impact of Generative AI on Peer Review: Insights from Journal Reviewers

Journal of Academic Ethics, Год журнала: 2025, Номер unknown

Опубликована: Фев. 11, 2025

Язык: Английский

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