The role of artificial intelligence in managing hospitalized patients with mental illness: a scoping review by Md Samiun, Moustaq Karim Khan Rony, Sumaiya Yeasmin, Mia Md Tofayel Gonee Manik, Anupom Debnath, Mustakim Bin Aziz, Afia Fairooz Tasnim, Sadia Islam Nilima

“…AI tools, such as machine learning, deep learning, and natural language processing, are being increasingly studied for their capacity to improve diagnostic precision, treatment strategies, and overall patient outcomes. …”
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Atypical early neural responses to native and non-native language in infants at high likelihood for developing autism by Lauren Wagner, Megan Banchik, Tawny Tsang, Nana J. Okada, Rebecca Altshuler, Nicole McDonald, Susan Y. Bookheimer, Shafali S. Jeste, Shulamite Green, Mirella Dapretto

“…Whole-brain and a priori region-of-interest analyses were conducted to evaluate neural differences in language processing based on likelihood group and language condition. …”
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Enhancing International B2B Sales Training in the Wine Sector Through Collaborative Virtual Reality: A Case Study from Marchesi Antinori by Irene Capecchi, Tommaso Borghini, Danio Berti, Silvia Ranfagni, Iacopo Bernetti

“…A systematic application of natural language processing (NLP) embedding techniques and recursive clustering analyses was undertaken to interpret stakeholder feedback. …”
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Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders by Muhammad Sajid, Kaleem Razzaq Malik, Ateeq Ur Rehman, Tauqeer Safdar Malik, Masoud Alajmi, Ali Haider Khan, Amir Haider, Seada Hussen

“…Abstract Although the Transformer architecture has established itself as the industry standard for jobs involving natural language processing, it still has few uses in computer vision. …”
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Multicriteria Optimization of Language Models for Heart Failure With Preserved Ejection Fraction Symptom Detection in Spanish Electronic Health Records: Comparative Modeling Study by Jacinto Mata, Victoria Pachón, Ana Manovel, Manuel J Maña, Manuel de la Villa

“…This study proposes and evaluates a Transformer-based natural language processing framework for automated detection of HFpEF-related symptoms in Spanish EHRs. …”
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Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review by David Chen, Saif Addeen Alnassar, Kate Elizabeth Avison, Ryan S Huang, Srinivas Raman

“… Abstract BackgroundNatural language processing systems for data extraction from unstructured clinical text require expert-driven input for labeled annotations and model training. …”
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Discrepancy in Metabolic Dysfunction–Associated Steatotic Liver Disease Prevalence in a Large Northern California Cohort by Luis A. Rodriguez, Lue-Yen S. Tucker, Varun Saxena, Theodore R. Levin

“…Conclusion: Reliance on diagnosis codes or natural language processing on hepatic imaging, or the Dallas Steatosis Index, to identify MASLD patients within a large health-care system yields much lower than expected prevalence. …”
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Elevating metaverse virtual reality experiences through network‐integrated neuro‐fuzzy emotion recognition and adaptive content generation algorithms by Oshamah Ibrahim Khalaf, Dhamodharan Srinivasan, Sameer Algburi, Jeevanantham Vellaichamy, Dhanasekaran Selvaraj, Mhd Saeed Sharif, Wael Elmedany

“…An inventive method that combines natural language processing adaptive content generation algorithms and neuro‐fuzzy‐based support vector machines natural language processing (SVM‐NLP) is proposed by researchers to meet this demand. …”
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Digitalizing English-language CT Interpretation for Positive Haemorrhage Evaluation Reporting: the DECIPHER study by Stephen H Thomas, Jason Pott, Imogen Skene, Ben Bloom, Michael Cheetham, Adrian Haimovich, Raine Astin-Chamberlain, Sophie L Williams, Sandra Langsted

“…Training and validation sets were randomly created to train the TC and natural language processing models. Prompts were written to train the LLM.Results 898 reports were manually labelled. …”
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AI-driven feedback system: Implementing advanced NLP and openAI for online learning by Liberius Sabinus Koe, Cecep Kustandi, Eveline Siregar

“…Abstrak: Penelitian ini bertujuan untuk mengembangkan umpan balik otomatis berbasis Artificial Intelligence (AI) dengan teknologi Natural Language Processing (NLP) dan GPT OpenAI dalam pembelajaran online. …”
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Negative symptoms in schizophrenia: a study in a large clinical sample of patients using a novel automated method by Robert Stewart, Hitesh Shetty, Matthew Broadbent, Angus Roberts, Rashmi Patel, Philip McGuire, Richard D Hayes, Nishamali Jayatilleke, Genevieve Gorrell, Chin-Kuo Chang, Richard Jackson, Nadia Foskett, Caroline Johnston

“…Objectives To identify negative symptoms in the clinical records of a large sample of patients with schizophrenia using natural language processing and assess their relationship with clinical outcomes.Design Observational study using an anonymised electronic health record case register.Setting South London and Maudsley NHS Trust (SLaM), a large provider of inpatient and community mental healthcare in the UK.Participants 7678 patients with schizophrenia receiving care during 2011.Main outcome measures Hospital admission, readmission and duration of admission.Results 10 different negative symptoms were ascertained with precision statistics above 0.80. 41% of patients had 2 or more negative symptoms. …”
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Developing Effective Frameworks for Large Language Model–Based Medical Chatbots: Insights From Radiotherapy Education With ChatGPT by James C L Chow, Kay Li

“…The findings highlight opportunities for advancements in natural language processing, personalized learning, and immersive technologies. …”
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A pathway from fragmentation to interoperability through standards-based enterprise architecture to enhance patient safety by Zoie Shui-Yee Wong, Yang Gong, Shin Ushiro

“…Abstract Creating an ontology is the essential step in natural language processing (NLP). To improve patient safety in this era of generative AI, it is crucial to develop a standards-driven, ontology-based architecture for patient safety that can seamlessly integrate with health systems, thereby facilitating effective detection and monitoring potentially preventable harms in healthcare. …”
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Key technologies of AI in customer service system by Zheng WANG, Hua REN, Xuhai LU

“…In the customer service system structure,manual seats,work order processing and other links require a lot of manual operations and participation,the cost is high,the efficiency is relatively low,and there will still be a certain percentage of problems and failures that can’t be found and resolved.In the customer service system,the introduction of artificial intelligence technology can solve these problems to a certain extent,reduce costs and improve the overall efficiency and effectiveness of customer service.The key technologies which could be applied to the customer service system in AI were analyzed,including speech recognition,speech synthesis,and natural language processing.The application of new technology in the customer service system of the operator was discussed.The effect in practical application was illustrated by an example.…”
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Quels effets du numérique et du multimédia sur les processus attentionnels des apprenants de langues ? by Stéphanie Roussel

“…Do digital technologies support second language processing? Under which conditions and for which learners could this apply? …”
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Enhancing emerging technology discovery in nanomedicine by integrating innovative sentences using BERT and NLDA by Wang Yifan, Liu Xiaoping, Zhu Xiang-Li

“…This study aims to develop a novel framework that integrates advanced natural language processing, noise-free topic modeling, and multidimensional bibliometrics to systematically identify emerging nanomedicine technology topics from scientific literature.…”
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Disease prediction using NLP techniques by Hamza Ouabiba, Farah Sniba

“…By leveraging Natural Language Processing (NLP), the system offers automated analysis, enabling quicker and more accurate diagnoses based on symptoms provided by users. …”
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La glose comme outil de désambiguïsation référentielle des noms propres purs by Montserrat Rangel Vicente

“…My research hinges on automatic language processing and praxematic linguistics. As such, I will attempt to develop computational grammar from a structure that I will call glose and which, within the framework of nominal semantics, turns out to be a privileged tool for clarifying the proper noun's referential ambiguity. …”
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Domain-specific text embedding model for accelerator physics by Thorsten Hellert, João Montenegro, Marco Venturini, Andrea Pollastro

“…Accelerator physics presents unique challenges for natural language processing (NLP) due to its specialized terminology and complex concepts. …”
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Mixed ownership reform and digitalisation by Wei Tu, Wei-Chiao Huang, Nianzhai Ma, Juan He

“…Our study not only explores digitalisation measures with the help of cutting-edge natural language processing techniques but also expands the literature on digitalisation motivation and the impact of mixed ownership reform on business decisions. …”
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