The Use of Artificial Intelligence in Writing Scientific Review Articles

Current Osteoporosis Reports, Journal Year: 2024, Volume and Issue: 22(1), P. 115 - 121

Published: Jan. 16, 2024

Abstract Purpose of Review With the recent explosion in use artificial intelligence (AI) and specifically ChatGPT, we sought to determine whether ChatGPT could be used assist writing credible, peer-reviewed, scientific review articles. We also assess, a study, advantages limitations using for this purpose. To accomplish this, 3 topics importance musculoskeletal research were selected: (1) intersection Alzheimer’s disease bone; (2) neural regulation fracture healing; (3) COVID-19 health. For each these topics, approaches write manuscript drafts undertaken: human only; only (AI-only); combination approach #1 #2 (AI-assisted). Articles extensively fact checked edited ensure quality, resulting final manuscripts that significantly different from original drafts. Numerous parameters measured throughout process quantitate disadvantages approaches. Recent Findings Overall, AI decreased time spent article, but required more extensive checking. AI-only approach, up 70% references cited found inaccurate. Interestingly, AI-assisted resulted highest similarity indices suggesting higher likelihood plagiarism. Finally, although technology is rapidly changing, at 4.0 had cutoff date September 2021 rendering identification articles impossible. Therefore, all literature published past was manually provided #3 identical contemporary citations. As result, health topic, abandoned midstream due overlap with #3. Summary The main objective study see scientifically appropriate manner improve process. Indeed, reduced significant inaccuracies. latter necessitates cannot currently alone careful oversight by humans

Language: Английский

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The Utility of AI in Writing a Scientific Review Article on the Impacts of COVID-19 on Musculoskeletal Health

Current Osteoporosis Reports, Journal Year: 2024, Volume and Issue: 22(1), P. 146 - 151

Published: Jan. 13, 2024

Abstract Purpose of Review There were two primary purposes to our reviews. First, provide an update the scientific community about impacts COVID-19 on musculoskeletal health. Second, was determine value using a large language model, ChatGPT 4.0, in process writing review article. To accomplish these objectives, we originally set out write three articles topic different methods produce initial drafts articles. The first article written traditional manner by humans, second be exclusively (AI-only or AIO), and third approach input outline references selected humans from 1 into ChatGPT, AI assist completing (AI-assisted AIA). All extensively fact-checked edited all co-authors leading final manuscripts, which significantly drafts. Recent Findings Unfortunately, during this process, it became clear that 2 not feasible for very recent like as at time, 4.0 had cutoff date September 2021 published after provided making approaches 3 virtually identical. Therefore, only (human AI-assisted). Here found human-only took less time complete than AI-assisted approach. This largely due number hours required fact-check edit manuscript. Of note, resulted inaccurate attributions (about 20%) higher similarity index suggesting increased risk plagiarism. Summary main aim project whether use could improve Based experience, with current state technology, would advised solely article, especially topic.

Language: Английский

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Using AI to Write a Review Article Examining the Role of the Nervous System on Skeletal Homeostasis and Fracture Healing

Current Osteoporosis Reports, Journal Year: 2024, Volume and Issue: 22(1), P. 217 - 221

Published: Jan. 13, 2024

Three review articles have been written that discuss the roles of central and peripheral nervous systems in fracture healing. While content among is overlapping, there a key difference between them: use artificial intelligence (AI). In one paper, first draft was solely by humans. second AI using ChatGPT 4.0 (AI-only or AIO). third but literature references were supplied from human-written paper (AI-assisted AIA). This project done to evaluate capacity conduct scientific writing. Importantly, all manuscripts fact checked extensively edited co-authors rendering final manuscript drafts significantly different drafts.

Language: Английский

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Mind Gaps and Bone Snaps: Exploring the Connection Between Alzheimer’s Disease and Osteoporosis

Current Osteoporosis Reports, Journal Year: 2024, Volume and Issue: 22(5), P. 483 - 494

Published: Jan. 18, 2024

Abstract Purpose of Review This comprehensive review discusses the complex relationship between Alzheimer’s disease (AD) and osteoporosis, two conditions that are prevalent in aging population result adverse complications on quality life. The purpose this is to succinctly elucidate many commonalities conditions, including shared pathways, inflammatory oxidative mechanisms, hormonal deficiencies. Recent Findings AD osteoporosis share aspects their respective disease-defining pathophysiology. These include amyloid beta deposition, Wnt/β-catenin signaling pathway, estrogen deficiency. mechanisms risk factors associated with a large percentage patients develop both diseases. Previous literature has established progression increases sustaining fracture. findings demonstrate reverse may also be true, suggesting fracture early life course can predispose one developing due activation these mechanisms. discovery further guides development novel therapeutics which targeted. Summary detailed delves into uncover players bring seemingly unrelated together. discussion throughout ultimately posits occurrence fractures mechanism behind healing later life, similar how at an increased fractures. By focusing better understand individually as unit, thus informing therapeutic approaches research. article part series multiple manuscripts designed determine utility using artificial intelligence for writing scientific reviews.

Language: Английский

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From the Mind to the Spine: The Intersecting World of Alzheimer’s and Osteoporosis

Current Osteoporosis Reports, Journal Year: 2024, Volume and Issue: 22(1), P. 152 - 164

Published: Feb. 1, 2024

Abstract Purpose of Review This comprehensive review delves into the intricate interplay between Alzheimer’s disease (AD) and osteoporosis, two prevalent conditions with significant implications for individuals’ quality life. The purpose is to explore their bidirectional association, underpinned by common pathological processes such as aging, genetic factors, inflammation, estrogen deficiency. Recent Findings advances have shown promise in treating both osteoporosis targeting disease-specific proteins bone metabolism regulators. Monoclonal antibodies against beta-amyloid tau AD, well RANKL sclerostin displayed therapeutic potential. Additionally, ongoing research has identified neuroinflammatory genes shared AD offering insight interconnected inflammatory mechanisms. knowledge opens avenues innovative dual-purpose therapies that could address conditions, potentially revolutionizing treatment approaches simultaneously. Summary underscores potential groundbreaking advancements early diagnosis unraveling connection health. It advocates a holistic, patient-centered approach medical care considers cognitive health, ultimately aiming enhance overall well-being individuals affected these conditions. article part series multiple manuscripts designed determine utility using artificial intelligence writing scientific reviews.

Language: Английский

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Mind the Gap: Unraveling the Intricate Dance Between Alzheimer’s Disease and Related Dementias and Bone Health

Current Osteoporosis Reports, Journal Year: 2024, Volume and Issue: 22(1), P. 165 - 176

Published: Jan. 29, 2024

Abstract Purpose of Review This review examines the linked pathophysiology Alzheimer’s disease/related dementia (AD/ADRD) and bone disorders like osteoporosis. The emphasis is on “inflammaging”—a low-level inflammation common to both, its implications in an aging population. Recent Findings Aging intensifies both ADRD deterioration. Notably, patients have a heightened fracture risk, impacting morbidity mortality, though it uncertain if fractures worsen ADRD. Therapeutically, agents targeting pathways, especially Nuclear factor kappa-light-chain-enhancer activated B cells (NF-kB) TNF-α, appear beneficial for conditions. Additionally, treatments Sirtuin 1 (SIRT-1), known anti-inflammatory neuroprotective properties, are gaining attention. Summary interconnectedness AD/ADRD health necessitates unified treatment approach. By addressing shared mechanisms, we can potentially transform therapeutic strategies, enriching our understanding refining care society. article part series multiple manuscripts designed determine utility using artificial intelligence writing scientific reviews.

Language: Английский

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Research ethics and issues regarding the use of ChatGPT-like artificial intelligence platforms by authors and reviewers: a narrative review

Science Editing, Journal Year: 2024, Volume and Issue: 11(2), P. 96 - 106

Published: Aug. 20, 2024

While generative artificial intelligence (AI) technology has become increasingly competitive since OpenAI introduced ChatGPT, its widespread use poses significant ethical challenges in research. Excessive reliance on tools like ChatGPT may intensify concerns scholarly articles. Therefore, this article aims to provide a comprehensive narrative review of the issues associated with using AI academic writing and inform researchers current trends. Our methodology involved detailed examination literature related research We conducted searches major databases identify additional relevant articles cited literature, from which we collected analyzed papers. identified categorized into problems faced by authors nonacademic platforms detection acceptance AI-generated content reviewers editors. explored eight specific highlighted thorough five key topics ethics. Given that often do not disclose their training data sources, there is substantial risk unattributed plagiarism. must verify accuracy authenticity before incorporating it article, ensuring adherence principles integrity ethics, including avoidance fabrication, falsification,

Language: Английский

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Systematic analysis of generative AI tools integration in academic research and peer review

Online Journal of Communication and Media Technologies, Journal Year: 2025, Volume and Issue: 15(1), P. e202502 - e202502

Published: Jan. 6, 2025

While sparking a big debate among academics, generative artificial intelligence (GAI) tools are becoming integral to academic research, holding the potential transform traditional research and peer review methods. This systematic literature investigates emergent role of GAI in workflow scholarly publications by analyzing 44 articles. The process identifying most relevant was done following preferred reporting items for reviews meta-analyses method. findings provide thorough understanding how is currently being utilized various aspects process, including concerns, limitations, proactive measures better employ these effectively. Our suggests need more develop appropriate policies guidelines, enhance researchers’ literacy through targeted training, ensure ethical use boost productivity quality.

Language: Английский

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Generative AI in Otolaryngology Residency Personal Statement Writing: A Mixed‐Methods Analysis

The Laryngoscope, Journal Year: 2025, Volume and Issue: unknown

Published: April 14, 2025

ABSTRACT Objective Generative Artificial Intelligence (GAI) interfaces have rapidly integrated into various societal domains. Widespread accessibility of GAI for drafting personal statements poses challenges evaluators to gauge writing ability and insight. This study aims compare the quality GAI‐generated those written by successful applicants in OHNS residency programs, via integration statistical qualitative thematic analyses. Methods Personal were collected from applicants. Characteristic extraction submitted was used generate GAI‐written using ChatGPT 4.0. All blindly reviewed 21 experienced on a 10‐point Likert scale authenticity, readability, personability, overall quality. Thematic analysis reviewer comments conducted extract deeper insights evaluators' perceptions. Quantitative results compared independent t ‐tests, while coding performed inductively NVivo software. Results significantly outperformed applicant‐written all assessed domains, including authenticity (7.67 vs. 7.05, p = 0.002), readability (8.03 7.49, personability (7.33 6.72, 0.004), score (7.49 6.90, 0.005). revealed that seen as “well‐constructed but generic,” applicant often “verbose lacked focus.” Additionally, reviewers noted concerns regarding insight engagement AI‐generated statements. Conclusion rated more favorably across raising critical questions about future application process. While AI medical education continues evolve, clear guidelines its ethical use applications are essential. Level Evidence N/A

Language: Английский

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Assessing the Accuracy, Completeness, and Reliability of Artificial Intelligence-Generated Responses in Dentistry: A Pilot Study Evaluating the ChatGPT Model

Cureus, Journal Year: 2024, Volume and Issue: unknown

Published: July 29, 2024

Background: Artificial intelligence (AI) can be a tool in the diagnosis and acquisition of knowledge, particularly dentistry, sparking debates on its application clinical decision-making. Objective: This study aims to evaluate accuracy, completeness, reliability responses generated by Chatbot Generative Pre-Trained Transformer (ChatGPT) 3.5 dentistry using expert-formulated questions. Materials methods: Experts were invited create three questions, answers, respective references according specialized fields activity. The Likert scale was used agreement levels between experts ChatGPT responses. Statistical analysis compared descriptive binary question groups terms accuracy completeness. Questions with low underwent re-evaluation, subsequent for improvement. Wilcoxon test utilized (α = 0.05). Results: Ten across six dental specialties 30 questions references. score had median 5.50 mean 4.17. For 2.00 2.07. No difference observed However, re-evaluated showed significant improvement (median vs. 6.00; 4.17 4.80; p=0.042) completeness 2.0 2.0; 2.07 2.30; p=0.011). References more incorrect than correct, no differences Conclusions: initially demonstrated good which further improved machine learning (ML) over time. some inaccurate answers persisted. Human critical discernment continues essential facing complex cases advancing theoretical knowledge evidence-based practice.

Language: Английский

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