Challenges and opportunities of artificial intelligence in African health space by Muslim A. Alaran, Salim Kamaludeen Lawal, Mustapha Husseini Jiya, Salihu Alhassan Egya, Mohamed Mustaf Ahmed, Abdullateef Abdulsalam, Usman Abubakar Haruna, Muhammad Kabir Musa, Don Eliseo Lucero-Prisno

“…The application of artificial intelligence (AI) to healthcare in Africa has the potential to transform productivity, diagnosis, disease surveillance, and resource allocation by improving accuracy and efficiency. …”
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The Development of an Intelligent System Architecture for Autonomous Care (ISAAC) by Logan Gisick, Alyssa Tanaka, Bob Marinier, Robert Picking, Cameron Copland

“…To accomplish this, we conducted research to explore how intelligent algorithms can be used to supplement the current capabilities by improving the diagnosis, intervention, and monitoring of combat trauma care. …”
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Generative Artificial Intelligence in the Early Diagnosis of Gastrointestinal Disease by Kwang-Sig Lee, Eun Sun Kim

“…This study reviews the recent progress of generative artificial intelligence for gastrointestinal disease (GID) from detection to diagnosis. …”
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Symbiopersonal intelligence towards symbiotic and personalized digital medicine by Alfred Mensah, Qiwen Bao, Zhaonan Zhang, Ya Chen, Qing Jiang, Pingqiang Cai

“…In this perspective, we introduce the concept of Symbiopersonal Intelligence (SymAI)—a specialized form of artificial intelligence designed to facilitate and optimize symbiotic interactions between individuals and intelligent devices in digital medicine. …”
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Auditing Flood Vulnerability Geo-Intelligence Workflow for Biases by Brian K. Masinde, Caroline M. Gevaert, Michael H. Nagenborg, Marc J. C. van den Homberg, Jacopo Margutti, Inez Gortzak, Jaap A. Zevenbergen

“…Hence, a group within the population in the area living in these houses would potentially miss out on DRRM interventions. Based on this example, we urge the community of researchers and practitioners to normalize the auditing of geo-intelligence workflows to prevent information disasters from biases.…”
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Artificial intelligence for determining learning strategies in university students by Ángel Ramón Sabando-García, Cynthia Michel Olguín-Martínez, Raul Marcelo Benavides-Lara, Teresa Irina Salazar-Echeagaray, Eduardo Alfonso Huerta-Mora, Bibian Bibeca Bumbila-García, Lizandro Agustín Cedeño-Barcia, Jenniffer Sobeida Moreira-Choez

“…However, it is recommended to adjust certain questionnaire items to enhance its precision and applicability in diverse contexts, thereby facilitating targeted interventions.…”
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New Perspectives on Lung Cancer Screening and Artificial Intelligence by Leonardo Duranti, Luca Tavecchio, Luigi Rolli, Piergiorgio Solli

“…Ongoing research is essential to fully realize their clinical benefits and enhance timely interventions.…”
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Narrative review on applications of artificial intelligence in vascular trauma by Zachary Tran, MD, Michael C. Wilkinson, MD, Glenn Guardamondo, MD, Mohamed H. El-Farra, MD, MS, Allan B. Peetz, MD, Roger T. Tomihama, MD, MBA, Sharon C. Kiang, MD

“…Objective: Artificial intelligence (AI) applications in vascular trauma are vast and revolutionizing the approach to patient care. …”
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Artificial intelligence in hospital infection prevention: an integrative review by Rabie Adel El Arab, Zainab Almoosa, May Alkhunaizi, May Alkhunaizi, Fuad H. Abuadas, Joel Somerville, Joel Somerville

“…BackgroundHospital-acquired infections (HAIs) represent a persistent challenge in healthcare, contributing to substantial morbidity, mortality, and economic burden. Artificial intelligence (AI) offers promising potential for improving HAIs prevention through advanced predictive capabilities.ObjectiveTo evaluate the effectiveness, usability, and challenges of AI models in preventing, detecting, and managing HAIs.MethodsThis integrative review synthesized findings from 42 studies, guided by the SPIDER framework for inclusion criteria. …”
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Research status and progress on key technologies of intelligent orchard by CUI Hongwei, LU Xiaoxuan, YANG Yaqing, LU Xinyi, MA Hao, JI Jiangtao, JIN Xin, LI Xiuzhen, ZHAO Zimeng, ZENG Ningning

“…With the aging of the rural population, standardized and intelligent orchard production has become a key development direction for modern orchards. …”
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Artificial intelligence/machine learning and journalology: Challenges and opportunities by Prakesh S. Shah, Ganesh Acharya

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USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE MANAGEMENT OF MULTIPLE SCLEROSIS by Fatima Aliyeva, Aytan Mammadbayli, Rana Shiraliyeva

“…In recent years, the application of artificial ıntelligence methods, particularly machine learning and deep learning techniques, has opened new opportunities for multiple sclerosis management. …”
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An Intelligent System Based on Arduino for Blood Leakage Detection by Mihaela MARIN, Cătălina ROŞU, Florin Bogdan MARIN

“…This study presents the design and implementation of an intelligent system that continuously monitors blood leakage during haemodialysis using an Arduino Nano-based platform. …”
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An intelligent framework for crop health surveillance and disease management. by Yasser M Ayid, Yasser Fouad, Mourad Kaddes, Heba M El-Hoseny

“…Traditional approaches to disease detection are often labor-intensive, time-consuming, and prone to errors, making early intervention difficult. This paper proposes an intelligent framework for automated crop health monitoring and early disease detection to overcome these limitations. …”
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Progress on intelligent metasurfaces for signal relay, transmitter, and processor by Chao Qian, Longwei Tian, Hongsheng Chen

“…We start by the basic modeling of wireless channel and the evolution of metasurfaces from passive, active to intelligent metasurfaces. Integrated with various deep learning algorithms, intelligent metasurfaces adapt to cater for the ever-changing environments without human intervention. …”
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Artificial Intelligence in Identifying Patients With Undiagnosed Nonalcoholic Steatohepatitis by Onur Baser, Gabriela Samayoa, Nehir Yapar, Erdem Baser

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Artificial Intelligence-Driven Wireless Sensing for Health Management by Merih Deniz Toruner, Victoria Shi, John Sollee, Wen-Chi Hsu, Guangdi Yu, Yu-Wei Dai, Christian Merlo, Karthik Suresh, Zhicheng Jiao, Xuyu Wang, Shiwen Mao, Harrison Bai

“…(1) Background: With technological advancements, the integration of wireless sensing and artificial intelligence (AI) has significant potential for real-time monitoring and intervention. …”
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Advancements in the application of artificial intelligence in the field of colorectal cancer by Mengying Zhu, Mengying Zhu, Zhenzhu Zhai, Yue Wang, Fang Chen, Ruibin Liu, Ruibin Liu, Xiaoquan Yang, Guohua Zhao

“…In this context, artificial intelligence (AI) has shown immense potential in revolutionizing CRC management, serving as one of the most effective screening tools. …”
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Diagnostic Techniques and Artificial Intelligence for Multiple Sclerosis Identification by Asma Raisi, Mahsa Nasiri, Hajar Danesh

“…Conclusion: The utilization of advanced diagnostic techniques, coupled with the integration of multiple methodologies, markedly improves the early detection and therapeutic intervention of multiple sclerosis, thereby reducing the associated complications of the disease.…”
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ARTIFICIAL INTELLIGENCE-DRIVEN TESTING IN EFL/ESP CLASSROOMS by Olena Zhyhadlo, Inna Zaiarna

“… This article explores the application of Artificial Intelligence (AI)-driven tools, particularly ChatGPT, for creating vocabulary test tasks in EFL/ESP classrooms. …”
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