Authors in the Age of Language-generation AI: To be or not to be, is that Really the Question?

Martínez‐Ezquerro, José Darío

doi:10.1016/j.arcmed.2023.03.002

Cited by 6 publications

(4 citation statements)

References 20 publications

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“…36 It is important to understand the advantages and limitations of AI in research writing and to consider the ethical implications of its use". 37 Until writing this review, AI cannot start research from scratch or build an accurate hypothesis rather it can improved the writing, comparison, and track outcome of a research.…”

Section: Writing Nephrology Researchmentioning

confidence: 99%

The evolution of artificial intelligence (AI) in nephrology: advantages and disadvantages

Akl,

Lomatayo,

Adejum

2023

UNOAJ

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Artificial intelligence (AI) has emerged as a new tool to help save lives, treat diseases, and conduct research. The first artificial intelligence research in the field of nephrology came from Egypt, Africa, and it was directed to predict and adjust the quality of hemodialysis sessions for patients even before they started the session, which saved time and money. Similarly, the application of AI in the field of transplantation comparing the accuracy of AI with multivariate statistics in the prediction of graft survival was done in Egypt. With advances in digital networking and the global spread of the internet, applications of AI have been expanded and now involve the field of research. AI can now start a research project, write a review article, and even plan a research design. In this paper, we discuss how AI can be used in various fields of nephrology, emphasizing the benefits over the drawbacks.

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Section: Writing Nephrology Researchmentioning

confidence: 99%

The evolution of artificial intelligence (AI) in nephrology: advantages and disadvantages

Akl,

Lomatayo,

Adejum

2023

UNOAJ

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“…Hence, journals and editors need to establish rigorous policies to ensure the ethical use of LLMs in publications [5], [171] For the sake of scientific integrity, authors urge journals to request the declaration of LLM use in the manuscript preparation by having check boxes or signing declarations [132], [75], [94], [176], [89] These include declaring the specific model of LLM used and the type and amount of contributions. However, many authors agree that chatbots should not be given author credits due to their lack of ethical responsibility toward the manuscript [161] [190], [107] [137][172] [191]. Others recommend setting up plagiarism checks and margin to ensure limited contribution of LLMs and the governance of human experience over the manuscript [75] [103], [55] [146], [141][87], [172], [192] , For example, the editors of Pediatric Radiology journal are updating their author guidelines so that authors need to declare the use of AI in the Material and Method section of the manuscript [95].…”

Section: Recommendationmentioning

confidence: 99%

ChatGPT applications in Academic Research: A Review of Benefits, Concerns, and Recommendations

AlZaabi,

ALAmri,

Albalushi

et al. 2023

Preprint

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Background ChatGPT has emerged as a valuable tool for enhancing scientific writing. It is the first openly available Large Language Model (LLM) with unrestricted access to its capabilities. ChatGPT has the potential to alleviate researchers' workload and enhance various aspects of research, from planning to execution and presentation. However, due to the rapid growth of publications and diverse opinions surrounding ChatGPT, a comprehensive review is necessary to understand its benefits, risks, and safe utilization in scientific research. This review aims to gain insights into the potential benefits and risks of using ChatGPT in scientific research, exploring secure and efficient methods for its application while identifying potential pitfalls to minimize negative consequences. Method The search was conducted in PubMed/MEDLINE, SCOPUS, and Google Scholar, yielding a total of 1279 articles and concluded on April 23rd, 2023. After removing duplicates and screening titles and abstracts total of 181 articles were included for analysis. Information collected included publication details, purposes, benefits, risks, and recommendations regarding ChatGPT's use in scientific research. Results The majority of existing literature consists of editorials expressing thoughts and concerns, followed by original research articles analyzing ChatGPT's performance in scientific research. The most significant advantage of using ChatGPT in scientific writing is its ability to expedite the writing process, enabling researchers to draft their work more efficiently. It also proves beneficial in improving writing style and proofreading by offering suggestions for sentence structure, grammar, and overall clarity. Additional benefits identified include support in data analysis, the formulation of protocols for clinical trials, and the design of scientific studies. Concerns mainly revolve around the accuracy and superficiality of the generated content, leading to what is referred to as "hallucinations." Researchers have also expressed concerns about the tool providing citations to nonexistent sources. Other concerns discussed include authorship and plagiarism issues, accountability, copyright considerations, potential loss of diverse writing styles, privacy and security, transparency, credibility, validity, presence of bias, and the potential impact on scientific progress, such as a decrease in groundbreaking discoveries. Conclusion ChatGPT has the potential to revolutionize scientific writing as a valuable tool for researchers. However, it cannot replace human expertise and critical thinking. Researchers must exercise caution, ensuring the generated content complements their own knowledge. Ethical standards should be upheld, involving knowledgeable human researchers to avoid biases and inaccuracies. Collaboration among stakeholders and training on AI technology are essential for identifying best practices in LLMs use and maintaining scientific integrity.

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“…Por ejemplo, en la estimación de la edad ósea por medio de exámenes radiográficos, en el diagnóstico de enfermedades retinianas o en la cuantificación de estenosis vasculares y otras métricas por imagenología cardíaca. Automatizando tareas que teóricamente no resultan complejas, pero que sí consumen mucho tiempo, los trabajadores del área de la salud pudieran dedicarse a actividades de mayor complejidad, representando una optimización del capital humano 28,32,[41][42][43] . Además, ya se están evaluando los posibles beneficios de la implementación de estas tecnologías de IA en el área de la academia e investigación médica, inclusive en su aplicación en ensayos clínicos y protocolos de estudio.…”

Section: Posible Rol a Futuro De La Ia En Medicinaunclassified

“…ISSN 2954-4645 humana con el lenguaje por medio del cálculo de probabilidad para una determinada secuencia de palabras 28 . Ejemplos de estos son ChatGPT y DALL-E por OpenAI, Segment Anything Model (SAM) y LLaMA por Meta y LaMDA por Google 27 .…”

Section: Educación Médica E Ia Introducción De Los Modelos De Lenguaj...unclassified

Inteligencia artificial en medicina: panorama actual

Ruibal-Tavares,

Calleja-López,

Rivera-Rosas

et al. 2023

REMUS

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La inteligencia artificial (IA) tiene un potencial enorme para modernizar la práctica y educación de la medicina. Esta tecnología, basada en algoritmos con los cuales las máquinas son capaces de llevar a procesos de razonamiento de alta complejidad, hoy en día tiene aplicaciones en la atención médica que, a pesar de seguir en etapas tempranas, muestran mucho potencial para optimizar el ejercicio profesional de las ciencias médicas. Esto implica beneficios en métodos de prevención y diagnóstico de enfermedades, así como también en tratamientos novedosos y mejoras en los pronósticos para los pacientes. Se realizó una revisión bibliográfica con el objetivo de plantear el panorama general de las aplicaciones de la IA en medicina y su posible rol a futuro. En conclusión, es muy probable que este tipo de instrumentos formen parte del quehacer cotidiano de todo trabajador de la salud y, por consiguiente, es importante conocer sus límites y sus ventajas, buscando integrar de la mejor manera posible estas herramientas auxiliares en el campo médico.

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Authors in the Age of Language-generation AI: To be or not to be, is that Really the Question?

Cited by 6 publications

References 20 publications

The evolution of artificial intelligence (AI) in nephrology: advantages and disadvantages

The evolution of artificial intelligence (AI) in nephrology: advantages and disadvantages

ChatGPT applications in Academic Research: A Review of Benefits, Concerns, and Recommendations

Inteligencia artificial en medicina: panorama actual

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