Predictive Value of CCTA Plaque Characteristics for the Progression and Prognosis of Coronary Artery Stenosis by Zhengteng LI, Min WANG, Dongmei PAN, Xiankai WANG

“…CCTA images were processed with an artificial intelligence software for plaque analysis, identifying 87 plaques. …”
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Quantifying Stress and Relaxation: A New Measure of Heart Rate Variability as a Reliable Biomarker by Emese Rudics, András Buzás, Antónia Pálfi, Zoltán Szabó, Ádám Nagy, Emőke Adrienn Hompoth, József Dombi, Vilmos Bilicki, István Szendi, András Dér

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Fully integrated wearable control system for micro/nanorobot navigation by Zhanxiang Zhang, Lin Wang, Fengqi Jiang, Shimin Yu, Fengtong Ji, Tianhao Sun, He Zhang, Yanhe Zhu, Hao Chang, Tianlong Li, Jie Zhao

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Differentiation of high risk prostate cancer with a facile urinary exosome detection workflow by Shuai Qiu, Yue Li, Zheng Zhang, Chunchang Li, Haoyu Wang, Ao Chen, Zhi Yan, Yang Liu, Zifei Li, Hua Huang, Yi Liu, Yiqi Seow, Ruibing Chen, Jinhong Guo, Simeng Wen, Jing Tian, Hongtuan Zhang, Ranlu Liu, Gang Han, Baolong Wang, Yong Wang, Yuanjie Niu, HaiFang Yin

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Expert-analytical Support of Foreign Policy Activities by A. A. Varfolomeev, O. P. Ivanov, I. V. Surma, Y. A. Trefilova

“…Given the development of artificial intelligence, generalizing information will be automatized. …”
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MSCPNet: A Multi-Scale Convolutional Pooling Network for Maize Disease Classification by Mehdhar S. A. M. Al-Gaashani, Reem Alkanhel, Muthana Ali Salem Ali, Mohammed Saleh Ali Muthanna, Ahmed Aziz, Ammar Muthanna

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Cortical lesions impact cognitive decline in multiple sclerosis via volume loss of nonlesional cortex by Eva A. Krijnen, Maureen vanDam, Albulena Bajrami, Piet M. Bouman, Samantha Noteboom, Frederik Barkhof, Bernard M.J. Uitdehaag, Martijn D. Steenwijk, Eric C. Klawiter, Ismail Koubiyr, Menno M. Schoonheim

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An Innovative Solution for Battery Draining in 5G Devices Using Alternate Routing Model by M. Sivasubramanian, J. Vignesh, V. Senthil kumar, S. Sumathi, R. Sathish, Kumar Parasuraman, B Santhosh Kumar, M Kathirvelu, Leena Bojaraj, Srihari K, Negasi Tsegay Sbhat

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A Deep Learning-Based Approach to Garbage Detection in urban centers by Slvar Abdulazeez Arif, Abubakar M. Ashir

“…The proposed method is an innovative way that address environmental concerns through the integration of artificial intelligence (AI) and image recognition technology. …”
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Review of models for estimating 3D human pose using deep learning by Sani Salisu, Kamaluddeen Usman Danyaro, Maged Nasser, Israa M. Hayder, Hussain A. Younis

“…Given its wide-ranging applications, HPE has become one of the fastest-growing areas in computer vision and artificial intelligence. This review highlights the latest advances in 3D deep-learning-based HPE models, addressing the major challenges such as accuracy, real-time performance, and data constraints. …”
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Learning with semantic ambiguity for unbiased scene graph generation by Shanjin Zhong, Yang Cao, Qiaosen Chen, Jie Gong

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LingoTrip: Spatiotemporal context prompt driven large language model for individual trip prediction by Zhenlin Qin, Pengfei Zhang, Leizhen Wang, Zhenliang Ma

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Computer-aided cholelithiasis diagnosis using explainable convolutional neural network by Dheeraj Kumar, Mayuri A. Mehta, Ketan Kotecha, Ambarish Kulkarni

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Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays by Pamela G. Anderson, Hannah Tarder-Stoll, Mehmet Alpaslan, Nora Keathley, David L. Levin, Srivas Venkatesh, Elliot Bartel, Serge Sicular, Scott Howell, Robert V. Lindsey, Rebecca M. Jones

“…Here, we present an FDA-cleared, artificial intelligence (AI) system which uses a deep learning algorithm to assist physicians in the comprehensive detection and localization of abnormalities on chest X-rays. …”
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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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A pelvis MR transformer-based deep learning model for predicting lung metastases risk in patients with rectal cancer by Yin Li, Yin Li, Yin Li, Shuang Li, Shuang Li, Ruolin Xiao, Ruolin Xiao, Xi Li, Yongju Yi, Yongju Yi, Liangyou Zhang, Liangyou Zhang, You Zhou, You Zhou, Yun Wan, Chenhua Wei, Liming Zhong, Liming Zhong, Wei Yang, Wei Yang, Lin Yao, Lin Yao, Lin Yao

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Proficiency, Clarity, and Objectivity of Large Language Models Versus Specialists’ Knowledge on COVID-19's Impacts in Pregnancy: Cross-Sectional Pilot Study by Nicola Luigi Bragazzi, Michèle Buchinger, Hisham Atwan, Ruba Tuma, Francesco Chirico, Lukasz Szarpak, Raymond Farah, Rola Khamisy-Farah

“…In addition, the advent of generative artificial intelligence (AI), such as large language models (LLMs), offers promising support in health care. …”
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Analisis dan Perancangan Aplikasi Chatbot Menggunakan Framework Rasa dan Sistem Informasi Pemeliharaan Aplikasi (Studi Kasus: Chatbot Penerimaan Mahasiswa Baru Politeknik Astra) by Laksmi Anindyati

“…Rasa NLU as a base library to build interactions between computers and humans using artificial intelligence. Rasa NLU is responsible for making interaction much real, like direct interaction with humans. …”
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Urdu Lip Reading Systems for Digits in Controlled and Uncontrolled Environment by Amanullah Baloch, Mushtaq Ali, Lal Hussain, Touseef Sadiq, Badr S. Alkahtani

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Machine Learning Models for Spring Discharge Forecasting by Francesco Granata, Michele Saroli, Giovanni de Marinis, Rudy Gargano

“…Recently, many hydraulic engineering problems have been addressed by means of advanced models derived from artificial intelligence studies. Three different machine learning algorithms were used for spring discharge forecasting in this comparative study: M5P regression tree, random forest, and support vector regression. …”
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