Current Urology Reports, Год журнала: 2023, Номер 25(1), С. 1 - 8
Опубликована: Сен. 22, 2023
Язык: Английский
Healthcare, Год журнала: 2023, Номер 11(6), С. 887 - 887
Опубликована: Март 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.
Язык: Английский
Процитировано
1794
Internet of Things and Cyber-Physical Systems, Год журнала: 2023, Номер 3, С. 121 - 154
Опубликована: Янв. 1, 2023
In recent years, artificial intelligence (AI) and machine learning have been transforming the landscape of scientific research. Out which, chatbot technology has experienced tremendous advancements in especially with ChatGPT emerging as a notable AI language model. This comprehensive review delves into background, applications, key challenges, future directions ChatGPT. We begin by exploring its origins, development, underlying technology, before examining wide-ranging applications across industries such customer service, healthcare, education. also highlight critical challenges that faces, including ethical concerns, data biases, safety issues, while discussing potential mitigation strategies. Finally, we envision areas further research focusing on integration other technologies, improved human-AI interaction, addressing digital divide. offers valuable insights for researchers, developers, stakeholders interested ever-evolving AI-driven conversational agents. study explores various ways revolutionizing research, spanning from processing hypothesis generation to collaboration public outreach. Furthermore, paper examines concerns surrounding use highlighting importance striking balance between AI-assisted innovation human expertise. The presents several issues existing computing domain how can invoke notion. work includes some biases limitations It is worth note despite controversies attracted remarkable attentions academia, very short span time.
Язык: Английский
Процитировано
1441
JMIR Medical Education, Год журнала: 2023, Номер 9, С. e48291 - e48291
Опубликована: Май 17, 2023
The integration of large language models (LLMs), such as those in the Generative Pre-trained Transformers (GPT) series, into medical education has potential to transform learning experiences for students and elevate their knowledge, skills, competence. Drawing on a wealth professional academic experience, we propose that LLMs hold promise revolutionizing curriculum development, teaching methodologies, personalized study plans materials, student assessments, more. However, also critically examine challenges might pose by addressing issues algorithmic bias, overreliance, plagiarism, misinformation, inequity, privacy, copyright concerns education. As navigate shift from an information-driven educational paradigm artificial intelligence (AI)-driven paradigm, argue it is paramount understand both pitfalls This paper thus offers our perspective opportunities using this context. We believe insights gleaned analysis will serve foundation future recommendations best practices field, fostering responsible effective use AI technologies
Язык: Английский
Процитировано
279
Narra J, Год журнала: 2023, Номер 3(1), С. e103 - e103
Опубликована: Март 29, 2023
Since its public release in November 2022, ChatGPT has gained a widespread attention and received mixed responses the academia. Promising applications of university education been suggested; however, several concerns were raised. The aim this descriptive study was to investigate pros cons use medical, dental, pharmacy, health education. Based on expert panel discussion review existing literature, specific concise prompts constructed generated 25 February 2023. Out data suggested that medical education, benefits included possibility improving personalized learning, clinical reasoning understanding complex concepts. listed context dental improved skills through step-by-step instructions interactive content, with instant feedback student techniques. In pharmacy advantages possible explanations subjects deployment tools aiding develop for patient counselling. providing case scenarios, besides analysis literature review. limitations based ChatGPT-generated content common across all investigated healthcare disciplines privacy issues, risk generating biased inaccurate deterioration critical thinking communication among students. deemed partially helpful by panel. However, important points regarding missed including: plagiarism, copyright academic dishonesty, lack personal emotional interactions necessary developing proper conclusion, despite promising prospects drawbacks should be addressed implementation guidelines ensure exploiting innovative technology.
Язык: Английский
Процитировано
192
medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown
Опубликована: Фев. 21, 2023
Abstract An artificial intelligence (AI)-based conversational large language model (LLM) was launched in November 2022 namely, “ChatGPT”. Despite the wide array of potential applications LLMs healthcare education, research and practice, several valid concerns were raised. The current systematic review aimed to investigate possible utility ChatGPT highlight its limitations practice. Using PRIMSA guidelines, a search conducted retrieve English records PubMed/MEDLINE Google Scholar under term Eligibility criteria included published or preprints any type that discussed context A total 280 identified, following full screening, 60 eligible for inclusion. Benefits/applications cited 51/60 (85.0%) with most common being scientific writing followed by benefits (efficient analysis massive datasets, code generation rapid concise literature reviews besides drug discovery development). Benefits practice cost saving, documentation, personalized medicine improved health literacy. Concerns/possible risks use expressed 58/60 (96.7%) ethical issues including risk bias, plagiarism, copyright issues, transparency legal lack originality, incorrect responses, limited knowledge, inaccurate citations. promising which can result paradigm shifts embrace this application should be done extreme caution. Specific education include learning tools shift towards more focus on critical thinking problem-based learning. In valuable streamlining workflow refining medicine. Saving time experimental design enhancing equity versatility are research. Regarding authorship articles, as it currently stands, does not qualify listed an author unless ICMJE/COPE guidelines revised amended. initiative involving all stakeholders involved is urgently needed set ethics conduct responsible practices among other LLMs.
Язык: Английский
Процитировано
191
Ophthalmology Retina, Год журнала: 2023, Номер 7(10), С. 862 - 868
Опубликована: Июнь 3, 2023
Язык: Английский
Процитировано
122
Artificial Intelligence and Applications, Год журнала: 2023, Номер 2(1), С. 11 - 20
Опубликована: Июнь 2, 2023
The emergence of an AI-powered chatbot that can generate human-like sentences and write coherent essays has caught the world's attention. This paper discusses historical overview chatbots technology behind Chat Generative Pre-trained Transformer, better known as ChatGPT. Moreover, potential applications ChatGPT in various domains, including healthcare, education, research, are highlighted. Despite promising results, there several privacy ethical concerns surrounding In addition, we highlight some important limitations current version We also ask to provide its point view present responses questions attempt answer.
Язык: Английский
Процитировано
113
Vaccines, Год журнала: 2023, Номер 11(7), С. 1217 - 1217
Опубликована: Июль 7, 2023
Artificial intelligence (AI) tools, such as ChatGPT, are the subject of intense debate regarding their possible applications in contexts health care. This study evaluates Correctness, Clarity, and Exhaustiveness answers provided by ChatGPT on topic vaccination. The World Health Organization's 11 "myths misconceptions" about vaccinations were administered to both free (GPT-3.5) paid version (GPT-4.0) ChatGPT. AI tool's responses evaluated qualitatively quantitatively, reference those myth misconceptions WHO, independently two expert Raters. agreement between Raters was significant for versions (p K < 0.05). Overall, easy understand 85.4% accurate although one questions misinterpreted. Qualitatively, GPT-4.0 superior GPT-3.5 terms (Δ = 5.6%, 17.9%, 9.3%, respectively). shows that, if appropriately questioned, tools can represent a useful aid care field. However, when consulted non-expert users, without support medical advice, these not from risk eliciting misleading responses. Moreover, given existing social divide information access, improved accuracy raises further ethical issues.
Язык: Английский
Процитировано
111
Meta-Radiology, Год журнала: 2023, Номер 1(2), С. 100022 - 100022
Опубликована: Сен. 1, 2023
Large Language Models (LLMs) especially when combined with Generative Pre-trained Transformers (GPT) represent a groundbreaking in natural language processing. In particular, ChatGPT, state-of-the-art conversational model user-friendly interface, has garnered substantial attention owing to its remarkable capability for generating human-like responses across variety of scenarios. This survey offers an overview delving into inception, evolution, and key technology. We summarize the fundamental principles that underpin encompassing introduction conjunction GPT LLMs. also highlight specific characteristics models details their impressive understanding generation capabilities. then applications ChatGPT few representative domains. parallel many advantages can provide, we discuss limitations challenges along potential mitigation strategies. Despite various controversial arguments ethical concerns, drawn significant from research industries academia very short period. The concludes envision promising avenues future field ChatGPT. It is worth noting knowing addressing faced by will mount way more reliable trustworthy agents years come.
Язык: Английский
Процитировано
111
Health Promotion Perspectives, Год журнала: 2023, Номер 13(3), С. 183 - 191
Опубликована: Сен. 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
Язык: Английский
Процитировано
106