A deep learning-based ADRPPA algorithm for the prediction of diabetic retinopathy progression by Victoria Y. Wang, Men-Tzung Lo, Ta-Ching Chen, Chu-Hsuan Huang, Adam Huang, Pa-Chun Wang

“…Abstract As an alternative to assessments performed by human experts, artificial intelligence (AI) is currently being used for screening fundus images and monitoring diabetic retinopathy (DR). …”
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Home-Based Intervention Tool for Cardiac Telerehabilitation: Protocol for a Controlled Trial by Francesca Mastorci, Maria Francesca Lodovica Lazzeri, Lamia Ait-Ali, Paolo Marcheschi, Paola Quadrelli, Massimiliano Mariani, Rafik Margaryan, Wanda Pennè, Marco Savino, Giuseppe Prencipe, Alina Sirbu, Paolo Ferragina, Corrado Priami, Alessandro Tommasi, Cesare Zavattari, Pierluigi Festa, Stefano Dalmiani, Alessandro Pingitore

“…The secondary aims are to implement the system in a “real-life” context of postcardiac surgical rehabilitation, and to create a data set and a data collection methodology to prototype data analytics algorithms and artificial intelligence techniques for customizing the rehabilitation pathway. …”
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The global trends and distribution in tumor-infiltrating lymphocytes over the past 49 years: bibliometric and visualized analysis by Beibei Wu, Beibei Wu, Beibei Wu, Ding Luo, Ding Luo, Xuejie Wang, Xuejie Wang, Chen Qiao, Chen Qiao, Rui Li, Jian Liu, Jian Liu

“…Combination therapies; tumor neoantigens; gene editing; dominant population selection of TILs therapy; TILs in Tumor microenvironment; emerging predictive biomarkers; TILs in predicting the efficacy of neoadjuvant chemotherapy and immunotherapy; the relationship between TILs and PD-L1; TIL-based patient stratification; tertiary lymphoid structures; and TIL evaluation through digital pathology and artificial intelligence are identified as key areas of interest.ConclusionsThis analysis highlights the increasing academic focus on tumor-infiltrating lymphocyte research and identifies key recent themes in the field such as prognostic value of TILs, personalized treatments, and combination therapies.…”
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Mathematical modelling-based blockchain with attention deep learning model for cybersecurity in IoT-consumer electronics by Hayam Alamro, Mohammed Maray, Jawhara Aljabri, Saad Alahmari, Monir Abdullah, Jehad Saad Alqurni, Faiz Abdullah Alotaibi, Abdelmoneim Ali Mohamed

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In vivo evidence for cell body loss in cortical lesions in people with multiple sclerosis by Eva A. Krijnen, Hansol Lee, Samantha Noteboom, Florence L. Chiang, Martijn D. Steenwijk, Menno M. Schoonheim, Eric C. Klawiter, Susie Y. Huang

“…Cortical lesions were segmented on artificial intelligence‐enabled double inversion recovery images. …”
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Insights in biomarkers complexity and routine clinical practice for the diagnosis of thyroid nodules and cancer by Maria de Lurdes Godinho de Matos, Mafalda Pinto, Ana Gonçalves, Sule Canberk, Maria João Martins Bugalho, Paula Soares

“…Additionally, the improvement of new techniques, such as liquid biopsy and/or artificial intelligence, may be the future for a better understanding of molecular biomarkers in thyroid nodular disease.…”
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ViTAU: Facial paralysis recognition and analysis based on vision transformer and facial action units by Jia GAO, Wenhao CAI, Junli ZHAO, Fuqing DUAN

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Predicting autoimmune thyroiditis in primary Sjogren’s syndrome patients using a random forest classifier: a retrospective study by Jia-yun Wu, Jing-yu Zhang, Wen-qi Xia, Yue-ning Kang, Ru-yi Liao, Yu-ling Chen, Xiao-min Li, Ya Wen, Fan-xuan Meng, Li-ling Xu, Sheng-hui Wen, Hui-fen Liu, Yuan-qing Li, Jie-ruo Gu, Qing Lv, Yong Ren

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Predictive modelling and identification of critical variables of mortality risk in COVID-19 patients by Olawande Daramola, Tatenda Duncan Kavu, Maritha J. Kotze, Jeanine L. Marnewick, Oluwafemi A. Sarumi, Boniface Kabaso, Thomas Moser, Karl Stroetmann, Isaac Fwemba, Fisayo Daramola, Martha Nyirenda, Susan J. van Rensburg, Peter S. Nyasulu

“…Aside from clinical methods, artificial intelligence (AI)-based solutions such as machine learning (ML) models have been employed in treating COVID-19 cases. …”
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Model Agile Scrum untuk Pengembangan Sistem Pencarian Dokumen Surat Digital Berbasis Konten Terklasifikasi dengan Ontologi by Rifiana Arief, Suryarini Widodo, Ary Bima Kurniawan, Hustinawaty Hustinawaty, Faisal Arkan

“…Includes pre-game (collecting user stories, product backlog, sprint backlog), game (development (5 sprints)), and post-game (implementation, user acceptance and documentation).The results of the system trial on the Ministry of Education and Culture's General Bureau of Letter Documents show that during the archiving of the letter, this system succeeded in classifying the letter (type, origin and subject of the letter) according to valid comprehension procedures, automatically with the assistance of artificial intelligence, and in the process of searching for letters, the system This managed to find a letter document based on the file name, content, classification criteria and display detailed ontological information found. …”
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The Hobby–Eberly Telescope Dark Energy Experiment Survey (HETDEX) Active Galactic Nuclei Catalog: The Fourth Data Release by Chenxu Liu, Karl Gebhardt, Erin Mentuch Cooper, Dustin Davis, Donald P. Schneider, Matt J. Jarvis, Daniel J. Farrow, Steven L. Finkelstein, Óscar A. Chávez Ortiz, The HETDEX Collaboration

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Associations between age, red cell distribution width and 180-day and 1-year mortality in giant cell arteritis patients: mediation analyses and machine learning in a cohort study by Si Chen, Rui Nie, Xiaoran Shen, Yan Wang, Haixia Luan, Xiaoli Zeng, Yanhua Chen, Hui Yuan

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Summer Research Internship Curriculum to Promote Self-Efficacy, Researcher Identity, and Peer-to-Peer Learning: Retrospective Cohort Study by Yulia A Levites Strekalova, Rachel Liu-Galvin, Samuel Border, Sara Midence, Mishal Khan, Maya VanZanten, John Tomaszewski, Sanjay Jain, Pinaki Sarder

“…MethodsThe Human BioMolecular Atlas Program (HuBMAP) piloted the implementation of a web-based academic enrichment curriculum for the Summer 2023 Research Internship cohort, which was comprised of students from groups underrepresented in biomedical artificial intelligence research. HuBMAP, a 400-member research consortium funded by the Common Fund at the National Institutes of Health, offered a 10-week summer research internship that included an academic enrichment curriculum delivered synchronously via the web to all students across multiple sites. …”
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Hydra Radio Access Network (H-RAN): Multi-Functional Communications and Sensing Networks, Initial Access Implementation, and Task-2 Approach by Rafid I. Abd, Daniel J. Findley, Kwang Soon Kim

“…Furthermore, we employed a multi-sparse input and multi-task learning (SMTL) framework in the Hydra distributed unit (H-DU) artificial intelligence and machine learning (AI/ML) (AI/ML D-engine), where each task is tailored to be executed in a particular environment based on online feedback. …”
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AI for IMPACTS Framework for Evaluating the Long-Term Real-World Impacts of AI-Powered Clinician Tools: Systematic Review and Narrative Synthesis by Christine Jacob, Noé Brasier, Emanuele Laurenzi, Sabina Heuss, Stavroula-Georgia Mougiakakou, Arzu Cöltekin, Marc K Peter

“… BackgroundArtificial intelligence (AI) has the potential to revolutionize health care by enhancing both clinical outcomes and operational efficiency. …”
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Effective rain rate model for analysing overestimated rain fade in short millimetre-wave terrestrial links due to distance factor by Asma Ali Budalal, Ibraheem Shayea, Md. Rafiqul Islam, Jafri Din, Abdulsamad Ebrahim Yahya, Yousef Ibrahim Daradkeh, Marwan Hadri Azmi

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Intelligent prediction method of virtual network function resource capacity for polymorphic network service slicing by Julong LAN, Di ZHU, Dan LI

“…Conclusions: With the vigorous development of artificial intelligence technology, polymorphic network has given computing, storage and transmission capabilities to virtual nodes on network slices,and has been able to realize the dual improvement of network resource utilization and user experience through the adaptive flow of business demand data on the basis of autonomously sensing data throughput and autonomously predicting the resource requirements of VNFs on nodes. …”
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Metode Deteksi Pokok Pohon Secara Automatis pada Citra Perkebunan Sawit Menggunakan Model Convolutional Neural Network (CNN) pada Perangkat Lunak Sistem Informasi Geografis by Samuel Samuel, Kestrilia Rega Prilianti, Hendry Setiawan, Prasetyo Mimboro

“…Furthermore, with the implementation of digital image processing and artificial intelligence, the image can be used to monitor based on the color of the palm tree. …”
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Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds by Mengdie Fan, Chenhui Sang, Hua Li, Yue Wei, Bin Zhang, Yang Xing, Jing Zhang, Jie Yin, Wei An, Bing Shao

“…Recently, machine learning and artificial intelligence algorithms have been applied to retention time prediction, which show unparalleled advantages over traditional experimental methods. …”
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Question–Answer Methodology for Vulnerable Source Code Review via Prototype-Based Model-Agnostic Meta-Learning by Pablo Corona-Fraga, Aldo Hernandez-Suarez, Gabriel Sanchez-Perez, Linda Karina Toscano-Medina, Hector Perez-Meana, Jose Portillo-Portillo, Jesus Olivares-Mercado, Luis Javier García Villalba

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