ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns

Healthcare, Journal Year: 2023, Volume and Issue: 11(6), P. 887 - 887

Published: March 19, 2023

ChatGPT is an artificial intelligence (AI)-based conversational large language model (LLM). The potential applications of LLMs in health care education, research, and practice could be promising if the associated valid concerns are proactively examined addressed. current systematic review aimed to investigate utility highlight its limitations. Using PRIMSA guidelines, a search was conducted retrieve English records PubMed/MEDLINE Google Scholar (published research or preprints) that context practice. A total 60 were eligible for inclusion. Benefits cited 51/60 (85.0%) included: (1) improved scientific writing enhancing equity versatility; (2) (efficient analysis datasets, code generation, literature reviews, saving time focus on experimental design, drug discovery development); (3) benefits (streamlining workflow, cost saving, documentation, personalized medicine, literacy); (4) education including learning critical thinking problem-based learning. Concerns regarding use stated 58/60 (96.7%) ethical, copyright, transparency, legal issues, risk bias, plagiarism, lack originality, inaccurate content with hallucination, limited knowledge, incorrect citations, cybersecurity infodemics. can induce paradigm shifts However, embrace this AI chatbot should extreme caution considering As it currently stands, does not qualify listed as author articles unless ICMJE/COPE guidelines revised amended. An initiative involving all stakeholders urgently needed. This will help set ethics guide responsible among other academia.

Language: Английский

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Unlocking the opportunities through ChatGPT Tool towards ameliorating the education system

BenchCouncil Transactions on Benchmarks Standards and Evaluations, Journal Year: 2023, Volume and Issue: 3(2), P. 100115 - 100115

Published: May 26, 2023

Artificial Intelligence (AI)-based ChatGPT developed by OpenAI is now widely accepted in several fields, including education. Students can learn about ideas and theories using this technology while generating content with it. built on State of the Art (SOA), like Deep Learning (DL), Natural Language Processing (NLP), Machine (ML), an extrapolation a class ML-NLP models known as Large Model (LLMs). It may be used to automate test assignment grading, giving instructors more time concentrate instruction. This utilised customise learning for kids, enabling them focus intently subject matter critical thinking excellent tool language lessons since it translate text from one another. provide lists vocabulary terms meanings, assisting students developing their proficiency resources. Personalised opportunities are ChatGPT's significant applications classroom. might include creating educational resources tailored student's unique interests, skills, goals. paper discusses need features education system. Further, identifies Using ChatGPT, educators design instructional materials specific each requirements skills based current trends. work at speed areas where they most support, resulting effective efficient environment. Both profit significantly Instructors save numerous duties technology. In future, will become powerful enhancing students' teachers' experience.

Language: Английский

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Can ChatGPT draft a research article? An example of population-level vaccine effectiveness analysis

Journal of Global Health, Journal Year: 2023, Volume and Issue: 13

Published: Feb. 17, 2023

Abstract We reflect on our experiences of using Generative Pre-trained Transformer ChatGPT, a chatbot launched by OpenAI in November 2022, to draft research article. aim demonstrate how ChatGPT could help researchers accelerate drafting their papers. created simulated data set 100 000 health care workers with varying ages, Body Mass Index (BMI), and risk profiles. Simulation allow analysts test statistical analysis techniques, such as machine-learning based approaches, without compromising patient privacy. Infections were randomized probability hospitalisation. A subset these fictitious people was vaccinated fictional vaccine that reduced this hospitalisation after infection. then used us decide handle the order determine effectiveness related paper. AI-based language models scientific writing are an area growing interest, exemplar aims contribute understanding can be facilitate tasks.

Language: Английский

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Marketing with ChatGPT: Navigating the Ethical Terrain of GPT-Based Chatbot Technology

AI, Journal Year: 2023, Volume and Issue: 4(2), P. 375 - 384

Published: April 10, 2023

ChatGPT is an AI-powered chatbot platform that enables human users to converse with machines. It utilizes natural language processing and machine learning algorithms, transforming how people interact AI technology. offers significant advantages over previous similar tools, its potential for application in various fields has generated attention anticipation. However, some experts are wary of ChatGPT, citing ethical implications. Therefore, this paper shows transform marketing shape future if certain considerations taken into account. First, we argue ChatGPT-based tools can help marketers create content faster potentially quality creators. also assist conducting more efficient research understanding customers better, automating customer service, improving efficiency. Then discuss implications risks marketers, consumers, other stakeholders, essential marketing; doing so revolutionize while avoiding harm stakeholders.

Language: Английский

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Exploring the role of ChatGPT in patient care (diagnosis and treatment) and medical research: A systematic review

Health Promotion Perspectives, Journal Year: 2023, Volume and Issue: 13(3), P. 183 - 191

Published: Sept. 11, 2023

Background: ChatGPT is an artificial intelligence based tool developed by OpenAI (California, USA). This systematic review examines the potential of in patient care and its role medical research. Methods: The was done according to PRISMA guidelines. Embase, Scopus, PubMed Google Scholar data bases were searched. We also searched preprint bases. Our search aimed identify all kinds publications, without any restrictions, on application research, publishing care. used term "ChatGPT". reviewed publications including original articles, reviews, editorial/ commentaries, even letter editor. Each selected records analysed using responses generated compiled a table. word table transformed PDF further ChatPDF. Results: full texts 118 articles. can assist with enquiries, note writing, decision-making, trial enrolment, management, decision support, research education. But solutions it offers are usually insufficient contradictory, raising questions about their originality, privacy, correctness, bias, legality. Due lack human-like qualities, ChatGPT’s legitimacy as author questioned when for academic writing. contents have concerns bias possible plagiarism. Conclusion: Although help treatment there issues accuracy, authorship, bias. serve "clinical assistant" be scholarly

Language: Английский

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An exploratory survey about using ChatGPT in education, healthcare, and research

PLoS ONE, Journal Year: 2023, Volume and Issue: 18(10), P. e0292216 - e0292216

Published: Oct. 5, 2023

Objective ChatGPT is the first large language model (LLM) to reach a large, mainstream audience. Its rapid adoption and exploration by population at has sparked wide range of discussions regarding its acceptable optimal integration in different areas. In hybrid (virtual in-person) panel discussion event, we examined various perspectives use education, research, healthcare. Materials methods We surveyed in-person online attendees using an audience interaction platform (Slido). quantitatively analyzed received responses on questions about contexts. compared pairwise categorical groups with Fisher’s Exact. Furthermore, used qualitative analyze code discussions. Results 420 from estimated 844 participants (response rate 49.7%). Only 40% had tried ChatGPT. More trainees faculty. Those who were more interested it wider contexts going forwards. Of three discussed contexts, greatest uncertainty was shown education. Pros cons raised during for this technology Discussion There around uses healthcare, still much acceptability uses. respondents roles (trainee vs faculty staff). needed explore perceptions LLMs such as vital sectors healthcare research. Given involved risks unforeseen challenges, taking thoughtful measured approach would reduce likelihood harm.

Language: Английский

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Artificial Intelligence & Creativity: A Manifesto for Collaboration

The Journal of Creative Behavior, Journal Year: 2023, Volume and Issue: 57(4), P. 472 - 484

Published: June 15, 2023

ABSTRACT With the advent of artificial intelligence (AI), field creativity faces new opportunities and challenges. This manifesto explores several scenarios human–machine collaboration on creative tasks proposes “fundamental laws generative AI” to reinforce responsible ethical use AI in field. Four are proposed discussed: “Co‐Cre‐AI‐tion,” “Organic,” “Plagiarism 3.0,” “Shut down,” each illustrating different possible futures based between humans machines. In addition, we have incorporated an AI‐generated that also highlights important themes, ranging from accessibility ethics cultural sensitivity. The fundamental aim prevent AIs generating harmful content competing directly with humans. Creating labels highlighted ensure AIs. positive future lies a harmonious can benefit everyone, potentially leading level productivity respecting considerations human values during process.

Language: Английский

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Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects

Published: Nov. 16, 2023

<p>Within the vast expanse of computerized language processing, a revolutionary entity known as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to comprehend intricate linguistic patterns and conjure coherent contextually fitting responses. models are type artificial intelligence (AI) that have emerged powerful tools for wide range tasks, including natural processing (NLP), machine translation, question-answering. This survey paper provides comprehensive overview LLMs, their history, architecture, training methods, applications, challenges. The begins by discussing fundamental concepts generative AI architecture pre- trained transformers (GPT). It then an history evolution over time, different methods been used train them. discusses applications medical, education, finance, engineering. also how LLMs shaping future they can be solve real-world problems. challenges associated with deploying scenarios, ethical considerations, model biases, interpretability, computational resource requirements. highlights techniques enhancing robustness controllability addressing bias, fairness, generation quality issues. Finally, concludes highlighting LLM research need addressed order make more reliable useful. is intended provide researchers, practitioners, enthusiasts understanding evolution, By consolidating state-of-the-art knowledge field, this serves valuable further advancements development utilization applications. GitHub repo project available at https://github.com/anas-zafar/LLM-Survey</p>

Language: Английский

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An exploratory survey about using ChatGPT in education, healthcare, and research

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: April 3, 2023

Objective ChatGPT is the first large language model (LLM) to reach a large, mainstream audience. Its rapid adoption and exploration by population at has sparked wide range of discussions regarding its acceptable optimal integration in different areas. In hybrid (virtual in-person) panel discussion event, we examined various perspectives use education, research, healthcare. Materials Methods We surveyed in-person online attendees using an audience interaction platform (Slido). quantitatively analyzed received responses on questions about contexts. compared pairwise categorical groups with Fisher's Exact. Furthermore, used qualitative methods analyze code discussions. Results 420 from estimated 844 participants (response rate 49.7%). Only 40% had tried ChatGPT. More trainees faculty. Those who were more interested it wider contexts going forwards. Of three discussed contexts, greatest uncertainty was shown education. Pros cons raised during for this technology Discussion There around uses healthcare, still much acceptability uses. respondents roles (trainee vs faculty staff). needed explore perceptions LLMs such as vital sectors healthcare research. Given involved risks unforeseen challenges, taking thoughtful measured approach would reduce likelihood harm.

Language: Английский

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Roles and Challenges of ChatGPT and Similar Generative Artificial Intelligence for Achieving the Sustainable Development Goals (SDGs)

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The emergence of generative artificial intelligence (AI) models like ChatGPT has marked the dawn a new era in human-machine interaction, profoundly impacting various sectors society. This study investigates roles and hurdles faced by its counterparts advancing United Nations' Sustainable Development Goals (SDGs). These 17 SDGs form comprehensive framework addressing diverse global challenges such as poverty, inequality, climate change, healthcare. Leveraging natural language processing capabilities, actively promotes education (SDG 4) providing accessible personalized learning experiences. Moreover, it aids information dissemination, supporting goals zero hunger 2) good health well-being 3) distributing vital agricultural healthcare knowledge. Nevertheless, integrating AI, including ChatGPT, into sustainable development endeavors presents multifaceted challenges. Ethical concerns related to privacy, bias, misinformation impede progress toward gender equality 5) reduced inequalities 10). Technical limitations also hinder AI's potential contributions, posing associated with clean water sanitation 6) affordable energy 7). Addressing these necessitates collaboration policy frameworks that align SDGs. research delves innovative approaches effectively harness ChatGPT's ensuring alignment By confronting ethical technical fostering among stakeholders, AI can significantly augment pursuit development, more inclusive, knowledgeable, interconnected world.

Language: Английский

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