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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Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and Challenges

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(12), P. 7082 - 7082

Published: June 13, 2023

The use of artificial intelligence (AI) is becoming more prevalent across industries such as healthcare, finance, and transportation. Artificial based on the analysis large datasets requires a continuous supply high-quality data. However, using data for AI not without challenges. This paper comprehensively reviews critically examines challenges AI, including quality, volume, privacy security, bias fairness, interpretability explainability, ethical concerns, technical expertise skills. these in detail offers recommendations how companies organizations can address them. By understanding addressing challenges, harness power to make smarter decisions gain competitive advantage digital age. It expected, since this review article provides discusses various strategies over last decade, that it will be very helpful scientific research community create new novel ideas rethink our approaches AI.

Language: Английский

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The Utility of ChatGPT as an Example of Large Language Models in Healthcare Education, Research and Practice: Systematic Review on the Future Perspectives and Potential Limitations

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

Published: Feb. 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.

Language: Английский

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A Survey on Large Language Models: Applications, Challenges, Limitations, and Practical Usage

Published: July 10, 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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ChatGPT in healthcare: A taxonomy and systematic review

Computer Methods and Programs in Biomedicine, Journal Year: 2024, Volume and Issue: 245, P. 108013 - 108013

Published: Jan. 21, 2024

The recent release of ChatGPT, a chat bot research project/product natural language processing (NLP) by OpenAI, stirs up sensation among both the general public and medical professionals, amassing phenomenally large user base in short time. This is typical example 'productization' cutting-edge technologies, which allows without technical background to gain firsthand experience artificial intelligence (AI), similar AI hype created AlphaGo (DeepMind Technologies, UK) self-driving cars (Google, Tesla, etc.). However, it crucial, especially for healthcare researchers, remain prudent amidst hype. work provides systematic review existing publications on use ChatGPT healthcare, elucidating 'status quo' applications, readers, professionals as well NLP scientists. biomedical literature database PubMed used retrieve published works this topic using keyword 'ChatGPT'. An inclusion criterion taxonomy are further proposed filter search results categorize selected publications, respectively. It found through that current has achieved only moderate or 'passing' performance variety tests, unreliable actual clinical deployment, since not intended applications design. We conclude specialized models trained (bio)medical datasets still represent right direction pursue critical applications.

Language: Английский

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Overview of Early ChatGPT’s Presence in Medical Literature: Insights From a Hybrid Literature Review by ChatGPT and Human Experts

Cureus, Journal Year: 2023, Volume and Issue: unknown

Published: April 8, 2023

ChatGPT, an artificial intelligence chatbot, has rapidly gained prominence in various domains, including medical education and healthcare literature. This hybrid narrative review, conducted collaboratively by human authors aims to summarize synthesize the current knowledge of ChatGPT indexed literature during its initial four months. A search strategy was employed PubMed EuropePMC databases, yielding 65 110 papers, respectively. These papers focused on ChatGPT's impact education, scientific research, writing, ethical considerations, diagnostic decision-making, automation potential, criticisms. The findings indicate a growing body applications implications healthcare, highlighting need for further research assess effectiveness concerns.

Language: Английский

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ChatGPT for Future Medical and Dental Research

Cureus, Journal Year: 2023, Volume and Issue: unknown

Published: April 8, 2023

ChatGPT is an artificial intelligence (AI) chatbot developed by OpenAI and it first became available to the public in November 2022. can assist finding academic papers on web summarizing them. This has potential be applied scientific writing, ability generate automated drafts, summarize articles, translate content from several languages. turn make writing faster less challenging. However, due ethical considerations, its use should regulated carefully monitored. Few have discussed of research writing. review aims discuss all relevant published that medical dental research.

Language: Английский

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Ecological footprints, carbon emissions, and energy transitions: the impact of artificial intelligence (AI)

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: Aug. 14, 2024

Abstract This study examines the multifaceted impact of artificial intelligence (AI) on environmental sustainability, specifically targeting ecological footprints, carbon emissions, and energy transitions. Utilizing panel data from 67 countries, we employ System Generalized Method Moments (SYS-GMM) Dynamic Panel Threshold Models (DPTM) to analyze complex interactions between AI development key metrics. The estimated coefficients benchmark model show that significantly reduces footprints emissions while promoting transitions, with most substantial observed in followed by footprint reduction reduction. Nonlinear analysis indicates several insights: (i) a higher proportion industrial sector diminishes inhibitory effect but enhances its positive transitions; (ii) increased trade openness amplifies AI’s ability reduce promote (iii) benefits are more pronounced at levels development, enhancing (iv) as transition process deepens, effectiveness reducing increases, role further transitions decreases. enriches existing literature providing nuanced understanding offers robust scientific foundation for global policymakers develop sustainable management frameworks.

Language: Английский

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On generating trustworthy counterfactual explanations

Information Sciences, Journal Year: 2023, Volume and Issue: 655, P. 119898 - 119898

Published: Nov. 17, 2023

Deep learning models like chatGPT exemplify AI success but necessitate a deeper understanding of trust in critical sectors. Trust can be achieved using counterfactual explanations, which is how humans become familiar with unknown processes; by the hypothetical input circumstances under output changes. We argue that generation explanations requires several aspects generated instances, not just their ability. present framework for generating formulate its goal as multiobjective optimization problem balancing three objectives: plausibility; intensity changes; and adversarial power. use generative network to model distribution input, along discovery solver these objectives. demonstrate usefulness six classification tasks image 3D data confirming evidence existence trade-off between objectives, consistency produced human knowledge, capability unveil concept-based biases misrepresented attributes domain audited model. Our pioneering effort shall inspire further work on plausible real-world scenarios where attribute-/concept-based annotations are available analysis.

Language: Английский

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ChatGPT in action: Harnessing artificial intelligence potential and addressing ethical challenges in medicine, education, and scientific research

World Journal of Methodology, Journal Year: 2023, Volume and Issue: 13(4), P. 170 - 178

Published: Sept. 20, 2023

Artificial intelligence (AI) tools, like OpenAI's Chat Generative Pre-trained Transformer (ChatGPT), hold considerable potential in healthcare, academia, and diverse industries. Evidence demonstrates its capability at a medical student level standardized tests, suggesting utility education, radiology reporting, genetics research, data optimization, drafting repetitive texts such as discharge summaries. Nevertheless, these tools should augment, not supplant, human expertise. Despite promising applications, ChatGPT confronts limitations, including critical thinking tasks generating false references, necessitating stringent cross-verification. Ensuing concerns, misuse, bias, blind trust, privacy, underscore the need for transparency, accountability, clear policies. Evaluations of AI-generated content preservation academic integrity are critical. With responsible use, AI can significantly improve industry without compromising research quality. For effective ethical deployment, collaboration amongst developers, researchers, educators, policymakers is vital. The development domain-specific guidelines, regulations, facilitation public dialogue must underpin endeavors to responsibly harness AI's potential.

Language: Английский

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