Artificial intelligence in healthcare text processing: a review applied to named entity recognition by Samuel Santana de Almeida, Raphael Silva Fontes, Luca Pareja Credidio Freire Alves, Methanias Colaço Júnior, Methanias Colaço Júnior, Methanias Colaço Júnior, Gleyson José Pinheiro Caldeira Silva, Lyane Ramalho Cortez, Antonio Higor Freire de Morais, Guilherme Medeiros Machado, Hugo Gonçalo Oliveira, Aliete Cunha-Oliveira, João Paulo Queiroz dos Santos, Ricardo Alexsandro de Medeiros Valentim

“…NER, a fundamental technique in Natural Language Processing (NLP), automatically identifies and categorizes named entities in the text, such as names of people and organizations, in medical texts, medical conditions and drug names. …”
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Mapping Knowledge Landscapes and Emerging Trends for the Spread of Health-Related Misinformation During the COVID-19 on Chinese and English Social Media: A Comparative Bibliometric... by He Y, Liang J, Fu W, Liu Y, Yang F, Ding S, Lei J

“…Regarding article topics, the transformation from qualitative small-data analyses to quantitative empirical big-data research has been realized.Conclusion: With the maturity of natural language processing technology, in-depth mining of massive user-generated content has become a hot spot. …”
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Application of machine learning in early childhood development research: a scoping review by Akbar K Waljee, Amina Abubakar, Patrick N Mwangala, Faith Neema Benson, Daisy Chelangat, Willie Brink, Cheryl A Moyer

“…No publication date limits were applied.Eligibility criteria Included studies applied ML or its variants (eg, deep learning (DL), natural language processing) to developmental outcomes in children aged 0–8 years. …”
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Convolutional neural networks for sea surface data assimilation in operational ocean models: test case in the Gulf of Mexico by O. Zavala-Romero, O. Zavala-Romero, A. Bozec, E. P. Chassignet, J. R. Miranda, J. R. Miranda

“…<p>Deep learning models have demonstrated remarkable success in fields such as language processing and computer vision, routinely employed for tasks like language translation, image classification, and anomaly detection. …”
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Chatbot-Delivered Stage of Change–Tailored Web-Based Intervention to Promote Physical Activity Among Inactive Community-Dwelling People Aged 65 years or More: Protocol for a Random... by Xue Liang, Fenghua Sun, Qingpeng Zhang, Yuan Fang, Fuk-yuen Yu, Danhua Ye, Borui Zhang, Qianwen Liao, Phoenix KH Mo, Zixin Wang

“…In the intervention group, a fully automated chatbot with natural language processing (NLP) functions will measure participants’ SOC related to PA and deliver web-based interventions tailored to their current SOC every week for 12 weeks. …”
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A Deep Learning–Enabled Workflow to Estimate Real-World Progression-Free Survival in Patients With Metastatic Breast Cancer: Study Using Deidentified Electronic Health Records by Gowtham Varma, Rohit Kumar Yenukoti, Praveen Kumar M, Bandlamudi Sai Ashrit, K Purushotham, C Subash, Sunil Kumar Ravi, Verghese Kurien, Avinash Aman, Mithun Manoharan, Shashank Jaiswal, Akash Anand, Rakesh Barve, Viswanathan Thiagarajan, Patrick Lenehan, Scott A Soefje, Venky Soundararajan

“…However, this process is a resource-intensive, time-consuming process. Natural language processing (NLP), a subdomain of machine learning, has shown promise in accelerating the extraction of tumor progression from real-world data in recent years. …”
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Identification of Patients With Congestive Heart Failure From the Electronic Health Records of Two Hospitals: Retrospective Study by Daniel Sumsion, Elijah Davis, Marta Fernandes, Ruoqi Wei, Rebecca Milde, Jet Malou Veltink, Wan-Yee Kong, Yiwen Xiong, Samvrit Rao, Tara Westover, Lydia Petersen, Niels Turley, Arjun Singh, Stephanie Buss, Shibani Mukerji, Sahar Zafar, Sudeshna Das, Valdery Moura Junior, Manohar Ghanta, Aditya Gupta, Jennifer Kim, Katie Stone, Emmanuel Mignot, Dennis Hwang, Lynn Marie Trotti, Gari D Clifford, Umakanth Katwa, Robert Thomas, M Brandon Westover, Haoqi Sun

“…Automated analysis of medical records through natural language processing (NLP) enables more efficient adjudication but has not yet been validated across multiple sites. …”
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Association of delayed asthma diagnosis with asthma exacerbations in children by Chung-Il Wi, MD, Euijung Ryu, PhD, Katherine S. King, MS, Jung Hyun Kwon, MD, PhD, Joshua T. Bublitz, BS, Miguel Park, MD, Sergio E. Chiarella, MD, Jason D. Greenwood, MD, MS, Thanai Pongdee, MD, Lynnea Myers, PhD, Björn Nordlund, PhD, Sunghwan Sohn, PhD, Elham Sagheb, MS, Bhavani Singh Agnikula Kshatriya, MS, Dave Watson, PhD, Hongfang Liu, PhD, Beverley J. Sheares, MD, MS, Carla M. Davis, MD, Wade Schulz, MD, PhD, Young J. Juhn, MD, MPH

“…We defined onset date as the date when subjects first met predetermined asthma criteria ascertained by an electronic health records–based natural language processing algorithm. Delay in diagnosis (DD) was defined as first diagnosis >30 days from onset date (vs timely diagnosis [TD] within 30 days). …”
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Trends of pulmonary fungal infections from 2013 to 2019: an AI-based real-world observational study in Guangzhou, China by Zhengtu Li, Yongming Li, Yijun Chen, Jing Li, Shaoqiang Li, Chenglong Li, Ye Lin, Wenhua Jian, Jingrong Shi, Yangqing Zhan, Jing Cheng, Jingping Zheng, Nanshan Zhong, Feng Ye

“…We applied an automated natural language processing (NLP) system to extract clinically relevant information from the electronic health records (EHRs) of PFI patients at the First Affiliated Hospital of Guangzhou Medical University. …”
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Will Artificial Intelligence Replace Physicians or Augment Their Capabilities? by Sara Rahmati Roodsari, Alireza Zali, Mohammad Rahmati-Roodsari, Behina Forouzanmehr

“…As technologies incorporating machine learning (ML), natural language processing (NLP), and deep learning continue to evolve rapidly, artificial intelligence (AI) is increasingly improving its skill sets in disease diagnosis, image interpretation, and therapeutic guidance1-3. …”
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Prevalence and clinical characteristics of patients with rheumatoid arthritis with interstitial lung disease using unstructured healthcare data and machine learning by Raul Castellanos-Moreira, Diego Benavent, Alejandra López Robles, Ernesto Trallero-Araguás, Lucía Silva-Fernández, Juliana Restrepo, Jose A Román Ivorra, Maria Lopez Lasanta, Laura Cebrián, Leticia Lojo, Belén López-Muñíz, Julia Fernández-Melon, Belén Núñez, Raúl Veiga Cabello, Pilar Ahijado, Isabel De la Morena Barrio, Nerea Costas Torrijo, Belén Safont, Enrique Ornilla, Arantxa Campo, Jose L Andreu, Elvira Díez, Elena Bollo, David Vilanova, Sara Luján Valdés

“…This study aimed to estimate the prevalence of RA and ILD in patients with RA (RAILD) in Spain, and to compare clinical characteristics of patients with RA with and without ILD using natural language processing (NLP) on electronic health records (EHR).Methods Observational case–control, retrospective and multicentre study based on the secondary use of unstructured clinical data from patients with adult RA and RAILD from nine hospitals between 2014 and 2019. …”
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Clinical and socioeconomic factors associated with recurrent atrial fibrillation after catheter ablation or antiarrhythmic drug therapy by Jaejin An, PhD, Nisha Bansal, MD, Chengyi Zheng, PhD, Ming-Sum Lee, MD, PhD, Rong Wei, MA, Teresa N. Harrison, SM, Dongjie Fan, MS, Elisha Garcia, MS, Benjamin Lidgard, MD, Leila R. Zelnick, PhD, Daniel E. Singer, MD, Alan S. Go, MD

“…Using electronic health records and a validated natural language processing algorithm, we evaluated the 12-month cumulative incidence of recurrent AF and examined the associations between clinical and socioeconomic factors and AF recurrence using Fine-Gray subdistribution hazard models. …”
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Artificial intelligence driven tumor risk stratification from single-cell transcriptomics using phenotype algebra by Namrata Bhattacharya, Anja Rockstroh, Sanket Suhas Deshpande, Sam Koshy Thomas, Anunay Yadav, Chitrita Goswami, Smriti Chawla, Pierre Solomon, Cynthia Fourgeux, Gaurav Ahuja, Brett Hollier, Himanshu Kumar, Antoine Roquilly, Jeremie Poschmann, Melanie Lehman, Colleen C Nelson, Debarka Sengupta

“…To this end, we introduce SCellBOW, a scRNA-seq analysis framework inspired by document embedding techniques from the domain of Natural Language Processing (NLP). SCellBOW is a novel computational approach that facilitates effective identification and high-quality visualization of single-cell subpopulations. …”
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Navigating Ethical Dilemmas Of Generative AI In Medical Writing by Qurrat Ulain Hamdan, Waleed Umar, Mahnoor Hasan

“…Generative AI in Medical Writing Generative AI tools or “chatbots” combine the adaptive learning capabilities of deep learning algorithms and natural language processing, resulting in a virtual assistant or aide that is capable of answering queries, following commands, and improving its responses according to the vast data available on the Internet in addition to user responses.3 This has allowed the accomplishment of various complex tasks within seconds that would otherwise require hours of trial and error. …”
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Association of glycemic control with Long COVID in patients with type 2 diabetes: findings from the National COVID Cohort Collaborative (N3C) by Jane E B Reusch, Rachel Wong, Nasia Safdar, Harold Lehmann, Brijesh Patel, Til Stürmer, Hongfang Liu, Peter Robinson, Elaine Hill, Richard Moffitt, Justin Guinney, Joel Gagnier, Cavin Ward-Caviness, Noha Sharafeldin, Justin Starren, Amit Saha, Lesley Cottrell, Melissa A Haendel, Margaret A Hall, Vignesh Subbian, Kristin Kostka, Farrukh M Koraishy, Andrew E Williams, Robert Hurley, Steve Johnson, Usman Sheikh, Rishi Kamaleswaran, Christopher Dillon, Michele Morris, Randeep Jawa, Hemalkumar Mehta, Benjamin Bates, Tellen D Bennett, Nabeel Qureshi, Katie Rebecca Bradwell, Federico Mariona, Adam B Wilcox, Adam M Lee, Alexis Graves, Amin Manna, Amy Olex, Andrea Zhou, Andrew Southerland, Andrew T Girvin, Anita Walden, Anjali A Sharathkumar, Benjamin Amor, Brian Hendricks, Caleb Alexander, Carolyn Bramante, Charisse Madlock-Brown, Christine Suver, Christopher Chute, Chunlei Wu, Clare Schmitt, Cliff Takemoto, Dan Housman, Davera Gabriel, David A Eichmann, Diego Mazzotti, Eilis Boudreau Don Brown, Elizabeth Zampino, Emily Carlson Marti, Emily R Pfaff, Evan French, Fred Prior, George Sokos, Greg Martin, Heidi Spratt, Hythem Sidky, JW Awori Hayanga, Jami Pincavitch, Jaylyn Clark, Jeremy Richard Harper, Jessica Islam, Jin Ge, Joel H Saltz, Joel Saltz, Johanna Loomba, John Buse, Jomol Mathew, Joni L Rutter, Julie A McMurry, Karen Crowley, Kellie M Walters, Ken Wilkins, Kenneth R Gersing, Kenrick Dwain Cato, Kimberly Murray, Lavance Northington, Lee Allan Pyles, Leonie Misquitta, Lili Portilla, Mariam Deacy, Mark M Bissell, Marshall Clark, Mary Emmett, Mary Morrison Saltz, Matvey B Palchuk, Meredith Adams, Meredith Temple-O'Connor, Michael G Kurilla, Nicole Garbarini, Ofer Sadan, Patricia A Francis, Penny Wung Burgoon, Rafael Fuentes, Rebecca Erwin-Cohen, Richard A Moffitt, Richard L Zhu, Robert T Miller, Saiju Pyarajan, Sam G Michael, Samuel Bozzette, Sandeep Mallipattu, Satyanarayana Vedula, Scott Chapman, T Shawn, Soko Setoguchi O'Neil, Stephanie S Hong, Tiffany Callahan, Umit Topaloglu, Valery Gordon, Warren A Kibbe, Wenndy Hernandez, Will Beasley, Will Cooper, William Hillegass, Xiaohan Tanner Zhang, Samuel Soff, Yun Jae Yoo, Jared Davis Huling, Daniel Brannock, Zachary Butzin-Dozier, Alfred Jerrod Anzalone, Philip RO. Payne, Rena Patel

“…Our cohort included individuals with T2D from eight sites with longitudinal natural language processing (NLP) data. The primary outcome was death or new-onset recurrent Long COVID symptoms within 30–180 days after COVID-19. …”
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Data analytics for real-world data integration in TKI-treated NSCLC patients using electronic health records by L. Mazzeo, F. Corso, P. Baili, F. Scotti, V. Torri, M. Ganzinelli, V. Mišković, R. Leporati, L. Provenzano, A. Spagnoletti, C. Silvestri, C. Giani, C. Cavalli, R.M. di Mauro, M. Meazza Prina, C. Proto, M. Brambilla, M. Occhipinti, S. Manglaviti, T. Beninato, D. Miliziano, A.D. Dumitrascu, G. Di Liberti, T.S. Cassano, F.G.M. de Braud, Giuseppe Lo Russo, A. Cappozzo, A.M. Paganoni, F. Ieva, A. Prelaj

“…Data warehouses (DWHs) represent the primary source of RWD in which electronic health records (EHRs) can be rapidly analyzed via natural language processing. This study illustrates an analytic framework that systematically exploits RWD and methods to generate real-world evidence (RWE) about innovative cancer drugs. …”
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Neuroradiological Evaluation of Anatomo-Morphometric Arcuate Fascicle Modifications According to Different Brain Tumor Histotypes: An Italian Multicentric Study by Roberto Altieri, Andrea Bianconi, Stefano Caneva, Giovanni Cirillo, Fabio Cofano, Sergio Corvino, Oreste de Divitiis, Giuseppe Maria Della Pepa, Ciro De Luca, Pietro Fiaschi, Gianluca Galieri, Diego Garbossa, Giuseppe La Rocca, Salvatore Marino, Edoardo Mazzucchi, Grazia Menna, Antonio Mezzogiorno, Alberto Morello, Alessandro Olivi, Michele Papa, Daniela Pacella, Rosellina Russo, Giovanni Sabatino, Giovanna Sepe, Assunta Virtuoso, Giovanni Vitale, Rocco Vitale, Gianluigi Zona, Manlio Barbarisi

“…<b>Background:</b> The arcuate fasciculus (AF) is a critical white matter (WM) tract that connects key cortical language-processing regions, including the so-called Broca’s and Wernicke’s areas. …”
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ChatGPT for the Standardized Operative Notes in Plastic Surgery by Fizzah Arif

“…Data Collection and Analysis: ChatGPT can be trained to understand and analyze large amounts of operative notes data to identify patterns, discrepancies, and areas for improvement in standardization. 2. Natural Language Processing: By leveraging the NLP capabilities of ChatGPT, it can assist in converting unstructured data present in operative notes into structured format, making it easier to analyze and standardize. 3. …”
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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…This Special Issue delves into following eight topics: Unmasking Content Clarity: Advancements in Defining, Measuring and Enhancing Readability: The authors present a novel method using natural language processing and Generative AI to quantitatively evaluate readability and comprehension. …”
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Criminal Law Challenged by Crossing into Virtual Reality by Mahdi Karimi

“…From a technical standpoint, IVR is the result of an inseparable connection between non-invasive neural technology, such as head-mounted displays (HMDs), and a suite of AI systems related to voice recognition, language processing, visual pattern analysis, facial expressions, emotions, and physical interactions for avatar control and environmental interaction. …”
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