The application of ChatGPT in nursing: a bibliometric and visualized analysis by Peng Wang, Qian Zhang, Wenyu Zhang, Jing Sun

“…The top 10 keywords identified in this study include artificial intelligence, nursing education, large language models, ChatGPT, natural language processing, generative artificial intelligence, care, nursing practice, clinical decision-making, and deep learning.ConclusionChatGPT is an emerging tool in the nursing field, currently in the foundational research phase. …”
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Extracting Information from Unstructured Medical Reports Written in Minority Languages: A Case Study of Finnish by Elisa Myllylä, Pekka Siirtola, Antti Isosalo, Jarmo Reponen, Satu Tamminen, Outi Laatikainen

“…This highlights the challenge of medical language processing when working with minority languages. …”
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How to assess multimorbidity: a systematic review by Li Yao, Li Yao, Qiaoxing Li, Yan Liu, Qinqin Li, Tingrui Wang, Zihan Zhou, Jiajia Yin

“…It can be divided into four categories: (1) assessment based on equal weight of disease count and disease severity; (2) based on physiological and psychological health status assessment; (3) evaluation based on drug use; (4) natural language processing evaluation system.ConclusionAttention should be paid to the assessment of patients with multiple chronic diseases, and standardized and unified assessment methods should be developed in the future to expand the coverage of diseases and deepen the depth of assessment, so as to provide more comprehensive and accurate health management for the growing number of patients with multiple chronic diseases.Without patient or public contributionThis systematic review is primarily based on the comprehensive analysis of published literature and did not involve new data collection or direct participation of patients, hence there was no direct contribution from patients or the public.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, CRD42024530474.…”
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Beyond buzzwords: NLP reveals common threads in sustainable and circular construction discourse by Shakarim Aubakirov, Alexandr Pak, Iskander Akhmetov, Aidana Tleuken, Huseyin Atakan Varol, Assel Akzhalova, Ferhat Karaca

“…This study aims to compare and analyze existing literature on sustainable and circular construction using natural language processing (NLP) techniques to elucidate the similarities and overlaps between these concepts within the construction industry. …”
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The Recent Technologies to Curb the Second-Wave of COVID-19 Pandemic by M. Poongodi, Mohit Malviya, Mounir Hamdi, Hafiz Tayyab Rauf, Seifedine Kadry, Orawit Thinnukool

“…Large data sets need to be advanced so that extensive models related to deep analysis can be used to combat Coronavirus infection, which can be done by applying Artificial intelligence techniques such as Natural Language Processing (NLP), Machine Learning (ML), and Computer vision to varying processing files. …”
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Hybrid Deep Neural Network Optimization with Particle Swarm and Grey Wolf Algorithms for Sunburst Attack Detection by Mohammad Almseidin, Amjad Gawanmeh, Maen Alzubi, Jamil Al-Sawwa, Ashraf S. Mashaleh, Mouhammd Alkasassbeh

“…Deep Neural Networks (DNNs) have been widely used to solve complex problems in natural language processing, image classification, and autonomous systems. …”
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EEG-Based Micro-Expression Recognition: Flexible Brain Network Reconfiguration Supporting Micro-Expressions Under Positive Emotion by Chen J, Zhao X, Xiong Z, Liu G

“…Key hub regions supporting positive micro-expressions include the bilateral SFG (inhibitory control), left OFC and TP (emotion processing), and left Broca’s area (language processing).Keywords: macro-expressions, neutral expressions, electroencephalography, EEG, graph theory, functional connectivity…”
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AI-Analyst: An AI-Assisted SDLC Analysis Framework for Business Cost Optimization by Nuruzzaman Faruqui, Priyabrata Thatoi, Rohit Choudhary, Ivana Roncevic, Hamed Alqahtani, Iqbal H. Sarker, Shapla Khanam

“…The perplexity score of 15 further indicates the model’s strong language understanding capabilities to retrieve relations from complex characteristics of Natural Language Processing (NLP). The AI-Analyst framework represents a significant advancement in integrating Large Language Models (LLMs) into SDLC, offering a scalable and cost-effective solution for optimizing business processes.…”
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Perspectives of Chinese Adult Patients with Alopecia Areata on Janus Kinase Inhibitors Therapy: A Qualitative Analysis Based on Social Media Platforms by Song H, Xiao Y, Wang D

“…A total of 300 posts met the inclusion criteria and were analyzed using natural language processing techniques. All data used in this study were publicly available, anonymized, and obtained without interaction with human subjects, ensuring compliance with ethical standards. …”
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Cword2vec: a novel morphological rule-based word embedding approach for Urdu text sentiment analysis by Saquib Khushhal, Abdul Majid, Syed Ali Abass, Rabia Riaz, Mohammad Babar, Shafiq Ahmad

“…Word embeddings are essential to natural language processing tasks because they contain a single word’s syntactic and semantic information. …”
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A Novel Spanish Dataset for Financial Education Text Simplification Targeting Visually Impaired Individuals by Nelson Perez-Rojas, Saul Calderon-Ramirez, Martin Solis, Mario Alberto Romero-Sandoval, Monica Arias-Monge, Horacio Saggion

“…Automatic Text Simplification (ATS) is a crucial task in natural language processing, aimed at making texts more comprehensible, particularly for specific groups such as individuals with visual impairments. …”
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The Architectural Language of Biophilic Design After Architects Use Text-to-Image AI by Chaniporn Thampanichwat, Tarid Wongvorachan, Limpasilp Sirisakdi, Panyaphat Somngam, Taksaporn Petlai, Sathirat Singkham, Bhumin Bhutdhakomut, Narongrit Jinjantarawong

“…The terms obtained were analyzed using natural language processing (NLP) techniques, including word cloud analysis, frequency analysis, and topic modeling. …”
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Artificial intelligence tools in supporting healthcare professionals for tailored patient care by Jiyeong Kim, Michael L. Chen, Shawheen J. Rezaei, Tina Hernandez-Boussard, Jonathan H. Chen, Fatima Rodriguez, Summer S. Han, Rayhan A. Lal, Sun H. Kim, Chrysoula Dosiou, Susan M. Seav, Tugce Akcan, Carolyn I. Rodriguez, Steven M. Asch, Eleni Linos

“…To define patients’ issues, we analyzed 528,199 patient messages of 11,123 patients with diabetes by harnessing natural language processing and AI. Applying multiple prompt-engineering techniques, we drafted a series of AI tools, and five endocrinologists evaluated them for perceived usefulness and risk. …”
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The global academic distribution and changes in research hotspots of artificial intelligence in inflammatory bowel disease since 2000 by Likang Xu, Jinzhao Zou, Chao Sun, Gong Chen, Sujun Gao, Sujun Gao

“…The timeline view and burst analysis of references and keywords revealed that the research hotspots focused on radiomics, endoscopy, natural language processing (NLP), and personalized medicine after 2020.ConclusionA growing number of researchers have engaged in exploring the application of AI in IBD, with the USA contributing the most to this field. …”
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Large Language Models can extract morphological data from taxonomic descriptions, but their stochastic nature makes automation challenging: a test on Australian Asteraceae by Alexander N. Schmidt-Lebuhn, Nunzio Knerr

“…Various scripted and Natural Language Processing approaches have been explored to automate the extraction of morphological data from taxonomic descriptions. …”
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Empowering geoportals HCI with task-oriented chatbots through NLP and deep transfer learning by Mohammad H. Vahidnia

“…Despite some criticism, Bing AI, ChatGPT and other natural language processing (NLP) products of similar nature are becoming more popular. …”
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Large language models for accurate disease detection in electronic health records: the examples of crystal arthropathies by Kim Lauper, Denis Mongin, Nils Bürgisser, Samia Mehouachi, Clement P. Buclin, Delphine S. Courvoisier, Etienne Chalot

“…The study compares the performance of the LLM-based framework with traditional natural language processing techniques and tests its dependence on the parameter used.Methods The framework was developed using a training and testing set of 700 paragraphs assessing ‘gout’ from a random selection of EHR documents from a tertiary university hospital in Geneva, Switzerland. …”
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WebShield 5.0: Harnessing AI and NLP to combat web threats in Industry 5.0 by Priyanka Verma, Donna O’Shea, Thomas Newe, Ankit Vidyarthi, Deepak Gupta, Jabir Ali, Hamad Aldawsari, John G. Breslin

“…To address the challenges and enhance attack detection, this paper introduces Ingress Manager (IM), a novel approach that amalgamates Natural Language Processing (NLP) with Machine Learning (ML) to mitigate web-based threats. …”
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Chinese Clinical Named Entity Recognition With Segmentation Synonym Sentence Synthesis Mechanism: Algorithm Development and Validation by Jian Tang, Zikun Huang, Hongzhen Xu, Hao Zhang, Hailing Huang, Minqiong Tang, Pengsheng Luo, Dong Qin

“… Abstract BackgroundClinical named entity recognition (CNER) is a fundamental task in natural language processing used to extract named entities from electronic medical record texts. …”
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Leveraging Artificial Neural Networks for Real-Time Speech Recognition in Voice-Activated Systems by Kumar V Suresh, B Raveendra Nadh, S Sureshkumar, Suresh Kumar Anisetty, S R Arun Raj, G Sheeba

“…As a result, the current study utilise semantic analysis and natural language processing (NLP) methods to assist understanding across different languages globally. …”
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