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Journal articles on the topic 'Approachable AI'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Butt, Asad Hassan, Hassan Ahmad, and Muhammad Noman Shafique. "AI-Powered “Voice Recognition Avatar”." International Journal of Gaming and Computer-Mediated Simulations 13, no. 3 (2021): 1–17. http://dx.doi.org/10.4018/ijgcms.290305.

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Consumers like to try innovative technologies when they perceive them to be approachable, convenient, and entertaining. The purpose of this study was to explore the adoption of AI voice recognition avatar in the gameplay. This study's interesting insights show us that gamers are keen and interested in voice recognition technology. The study augments value to TAM theories, perceive value theory and the flow theory with localization's moderating role. The 218 respondents from China provided useful insights. In China, gaming is a vast industry, and such gaming options can attract current and new

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Vani, Aggarwal, and Singhi Nitu. "Utilizing Design Thinking to Evaluate the Impact of Generative AI on HR Policies and Practices." Empirical Economics Letters 23, December Special Issue 2 (2024): 253–72. https://doi.org/10.5281/zenodo.14514458.

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<strong>Abstract: </strong>The study uses a Design Thinking framework to investigate how Human Resource (HR) policies and practices may incorporate Generative Artificial Intelligence (AI). It intends to investigate the state of generative AI in HR, gather perspectives from managers, employees, HR professionals, AI experts, and other pertinent parties, and pinpoint the possible advantages and difficulties from the standpoint of the user. Using Design Thinking, the study pinpoints a few important conclusions. AI is seen by many users as a game-changing technology that may greatly improve HR proc

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Gowda, Samarth R., Pavithra H C., Sunitha R., Somaiah K M., Suraj S H., and Yashas R. Rao. "Data Augmentation using Generative-AI." Journal of Innovative Image Processing 6, no. 3 (2024): 273–89. http://dx.doi.org/10.36548/jiip.2024.3.005.

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This study presents an approachable tool for data augmentation that makes use of artificial intelligence (AI). It can handle text and visual data, assisting customers in optimizing their data collecting for a range of applications. The system breaks down CSV documents providing insights using libraries such as transformers, which are used in the field of Natural Language Processing (NLP). It assesses the insights in addition to applying data augmentation techniques like word control and equivalent substitution. This method improves the text data by quickly balancing the final dataset. This stu

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Alli, A.O. "A Review of the Potential of Artificial Intelligence (AI) in Enhancing Chemistry Education." International Journal of Recent Innovations in Academic Research 9, no. 2 (2025): 31–43. https://doi.org/10.5281/zenodo.15202897.

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A review of the literature on artificial intelligence's (AI) potential to improve chemistry education is presented in this paper. The study assesses how AI-driven tools like intelligent tutoring systems, virtual labs, and adaptive learning platforms can revolutionize chemistry education by looking at peer-reviewed books, articles, and reliable internet sources. According to the analysis, AI can help students solve problems more effectively, create individualized learning experiences, as well as render abstract chemical ideas more approachable. The study also discusses ethical issues, the dange

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Ahmad, Kasem Haj Ali. "ARTIFICIAL INTELLIGENCE AND DISCOURSE MAKERS IN ENGLISH." Znanstvena misel journal, no. 80 (July 25, 2023): 86–89. https://doi.org/10.5281/zenodo.8181323.

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The connection between AI and the people who make the discourse in English is a complicated one with many facets. On the one hand, AI algorithms have the potential to be utilized in order to improve readability and enhance the efficiency of discourse creators in the English language. On the other side, the rising utilization of AI in the production of content raises problems regarding the authenticity and legitimacy of discourse makers. Natural language processing (NLP) algorithms are one use of artificial intelligence that can be helpful to those who construct speech (Jones et al. 6). These a

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Naveen Gokul R, Murugesan K, Sheela Kumari K, and Priya Mohite V. "Awareness About Artificial Intelligence Among Dental Practitioners And Dental Students." Journal of Clinical Prosthodontics and Implantology 6, no. 2 (2024): 60–66. http://dx.doi.org/10.55995/j-cpi.2024013.

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BACKGROUND Artificial intelligence (AI) is defined as acquisition of intelligence by computers or machines to perform complex tasks that generally require human intelligence. Nowadays usage of AI in various fields is appreciated because of its time effectiveness and less laborious.In dentistry, AI has been trending, specifically in diagnostic imaging and early detection of diseases,benefiting both dental graduates and practitioners. AIM The main aim is to assess the awareness of Artificial intelligence as an effective tool among dental trainees and dental practitioners. MATERIALS AND METHOD An

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Asan, Onur, Euiji Choi, and Xiaomei Wang. "Artificial Intelligence–Based Consumer Health Informatics Application: Scoping Review." Journal of Medical Internet Research 25 (August 30, 2023): e47260. http://dx.doi.org/10.2196/47260.

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Background There is no doubt that the recent surge in artificial intelligence (AI) research will change the trajectory of next-generation health care, making it more approachable and accessible to patients. Therefore, it is critical to research patient perceptions and outcomes because this trend will allow patients to be the primary consumers of health technology and decision makers for their own health. Objective This study aimed to review and analyze papers on AI-based consumer health informatics (CHI) for successful future patient-centered care. Methods We searched for all peer-reviewed pap

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Kumar, Kartik. "An Educational Chatbot Using AI in Radiotherapy." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem34122.

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The surge in demand for information in cancer centers and hospitals, particularly during the pandemic, overwhelmed the limited manpower available. To address this challenge, there arose a need to develop an educational chatbot tailored for diverse user groups in the field of radiotherapy, including patients and their families, the general public, and radiation staff. Objective: In response to the pressing clinical demands, the primary aim of this endeavor is to delve into the intricacies of designing an educational chatbot for radiotherapy using artificial intelligence.Methods: The chatbot is

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Warchoł, Konrad, Adam Jasiura, Marlena Zając, Aleksandra Wójcik, and Kamila Giżewska. "New Opportunities and Challenges for Health Professionals in the era of Artificial Intelligence – Review." Journal of Education, Health and Sport 12, no. 9 (2022): 804–17. http://dx.doi.org/10.12775/jehs.2022.12.09.095.

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Introduction and purpose: Modern medical knowledge has grown to a vastness incomprehensible for a single health professional to learn and accommodate. The usage of modern information technologies comes to help, one of them being artificial intelligence, a branch of computer science aimed at developing solutions to perform tasks similar to the human brain, but more efficient and complex, without actual human intervention. The goal of this review is to provide reader with the knowledge how artificial intelligence is applied in various branches of medicine. Brief description of the state of

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Du, Jingfang. "Shaping Culture Digitally: Exploring Tang Dynasty Costume Structures Through AI-driven Interaction Systems." Journal of Information Systems Engineering and Management 9, no. 1 (2024): 23742. http://dx.doi.org/10.55267/iadt.07.14329.

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AI-driven integration systems have played a crucial role in changing our understanding of historical clothes within the complex cultural fabric of the Tang Dynasty in the age of the digital revolution. These cutting-edge technologies provide a special lens through which one can be examine and appreciate the complex designs of Tang Dynasty clothing.&nbsp;The&nbsp;main goal of the study was to examine how AI-driven interaction technologies affected how Tang Dynasty clothing structures were explored. We aimed to explore the transformative potential of technology in cultural education, pre

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Du, Jingfang. "Shaping Culture Digitally: Exploring Tang Dynasty Costume Structures Through AI-driven Interaction Systems." Journal of Information Systems Engineering and Management 9, no. 2 (2024): 23742. http://dx.doi.org/10.55267/iadt.07.14349.

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AI-driven integration systems have played a crucial role in changing our understanding of historical clothes within the complex cultural fabric of the Tang Dynasty in the age of the digital revolution. These cutting-edge technologies provide a special lens through which one can be examine and appreciate the complex designs of Tang Dynasty clothing.&nbsp;The&nbsp;main goal of the study was to examine how AI-driven interaction technologies affected how Tang Dynasty clothing structures were explored. We aimed to explore the transformative potential of technology in cultural education, pre

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Péntek, Loretta, Gergely Szarka, Liliana Ross, et al. "Eyes Are the Windows to the Soul: Reviewing the Possible Use of the Retina to Indicate Traumatic Brain Injury." International Journal of Molecular Sciences 26, no. 11 (2025): 5171. https://doi.org/10.3390/ijms26115171.

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Traumatic brain injury (TBI) induces complex molecular and cellular responses, often leading to vision deterioration and potential mortality. Current objective diagnostic methods are limited, necessitating the development of novel tools to assess disease severity. This review focuses on the retina, a readily approachable part of the central nervous system (CNS), as a potential indicator of TBI. We conduct a targeted database search and employ a blinded scoring system, incorporating both human and artificial intelligence (AI) assessments, to identify relevant articles. We then perform a detaile

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Chandrika, L., K. Madhavi, B. Sindhuja, and M. Arshi. "A Survey on Cardiovascular Prediction using Variant Machine learning." E3S Web of Conferences 309 (2021): 01042. http://dx.doi.org/10.1051/e3sconf/202130901042.

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Prediction of a cardiovascular diseases has always a tedious challenge for doctors and medical practitioners. Most of the practitioners and hospital staff offers expensive medication, care and surgeries to treat the cardiovascular patients. At early-stage of prediction of heart-oriented problems will be giving a chance of survival by taking necessary precautions. Over the years there are different types of methodologies were proposed to predict the cardiovascular diseases one of the best methodologies is a Machine learning approach. These years many scientific advancements take place in the Ar

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Warchoł, Konrad, Adam Jasiura, Marlena Zając, Aleksandra Wójcik, and Kamila Giżewska. "New Opportunities and Challenges for Health Professionals in the era of Artificial Intelligence – Review." Journal of Education, Health and Sport 12, no. 9 (2022): 804–17. https://doi.org/10.12775/JEHS.2022.12.09.095.

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<strong>Warchoł</strong><strong>, </strong><strong>Konrad</strong><strong>,</strong><strong> Jasiura</strong><strong>,</strong> <strong>Adam</strong><strong>,</strong><strong> Zając</strong><strong>,</strong> <strong>Marlena</strong><strong>,</strong><strong> Wójcik</strong><strong>,</strong> <strong>Aleksandra</strong><strong>,</strong><strong> Giżewska</strong><strong>, </strong><strong>Kamila</strong><strong>. </strong><strong>New Opportunities and Challenges for Health Professionals in the era of Artificial Intelligence – Review</strong><stro

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Rausch, Linda, Johannes Burtscher, Gerhard Ruedl, Kurt Schindelwig, Lisa Steidl-Müller, and Maurice Mohr. "How to embrace interdisciplinarity in sport science – An approach at the ÖSG Congress Innsbruck 2024." Current Issues in Sport Science (CISS) 9, no. 4 (2024): 001. http://dx.doi.org/10.36950/2024.4ciss001.

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Introduction The 19th Congress of the Austrian Sport Science Society (“Österreichische Sportwissenschaftliche Gesellschaft, ÖSG”), held in Innsbruck, Austria, centered on the theme of” Embracing Interdisciplinarity in Sport Science.” The idea of interdisciplinarity in sport science has been discussed for over three decades and stems from its position as a cross-sectional discipline integrating various natural and social sciences such as training science, sports medicine, biomechanics, sport pedagogy, sport psychology, sport sociology, and sport history. More recently, sports economy and sports

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Meskó, Bertalan. "The ChatGPT (Generative AI) revolution made artificial intelligence approachable for medical professionals (Preprint)." Journal of Medical Internet Research, April 21, 2023. http://dx.doi.org/10.2196/48392.

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Ciston, Sarah, and Daniela Dicks. "New toolkit collects easy tips for intersectional AI." October 26, 2021. https://doi.org/10.5281/zenodo.5596584.

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<strong>By drawing on marginalized practices to fundamentally reshape the development and use of AI technologies, intersectional approaches to AI (IAI) are key in ensuring more inclusiveness. Our new toolkit provides an introductory guide to IAI and argues that anyone should be able to understand what AI is and what AI ought to be. </strong>

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-, Archana B. Biradar, Ananya Vithal Yergolkar -, Adarsh Jaiswal -, Ankita S. Hegde -, and Gaurav Kumar -. "MEDSCORE ASSIST." International Journal on Science and Technology 16, no. 2 (2025). https://doi.org/10.71097/ijsat.v16.i2.4829.

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MedScore Assist is an AI-powered health score prediction system that assesses risks for obesity, hypertension, and cardiovascular disease by combining clinical lab values (like LDL, HDL, and triglycerides) with lifestyle factors (like smoking and alcohol consumption). It was created using XGBoost and Streamlit and provides users with personalized health scores, actionable feedback, and comprehensive reports to aid in patient diagnosis. By analyzing health reports and offering tailored advice on diet, exercise, medications, and lifestyle, an integrated chatbot driven by OpenAI makes health mana

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-, Priyansh, and Amrit Kaur Saggu -. "Building Trust in AI Systems: A Study on User Perception and Transparent Interactions." International Journal on Science and Technology 16, no. 1 (2025). https://doi.org/10.71097/ijsat.v16.i1.2118.

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: Building trust in AI systems is crucial for their effective adoption and integration across various domains. This research paper addresses key research gaps focusing on the socio-psychological, transparency, ethical, and interactive dimensions that influence user trust in AI systems. Firstly, understanding the key factors influencing user trust in AI systems is vital. This research explores how demographic factors such as age, gender, education, and cultural background shape perceptions of AI trustworthiness. By examining these variables, potential disparities can be uncovered, allowing AI s

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Heddes, Mike, Igor Nunes, Tony Givargis, Alexandru Nicolau, and Alex Veidenbaum. "Hyperdimensional computing: a framework for stochastic computation and symbolic AI." Journal of Big Data 11, no. 1 (2024). http://dx.doi.org/10.1186/s40537-024-01010-8.

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AbstractHyperdimensional Computing (HDC), also known as Vector Symbolic Architectures (VSA), is a neuro-inspired computing framework that exploits high-dimensional random vector spaces. HDC uses extremely parallelizable arithmetic to provide computational solutions that balance accuracy, efficiency and robustness. The majority of current HDC research focuses on the learning capabilities of these high-dimensional spaces. However, a tangential research direction investigates the properties of these high-dimensional spaces more generally as a probabilistic model for computation. In this manuscrip

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Fried, Juliana Coraor, Natasha R. Johnson, Andrea Pelletier, Adam Landman, and Deborah Bartz. "Using Generative Artificial Intelligence When Writing Letters of Recommendation." Academic Medicine, March 24, 2025. https://doi.org/10.1097/acm.0000000000006047.

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Abstract Artificial intelligence (AI) provides an opportunity to streamline tasks within academic medicine. Generative AI (genAI) models, specifically, have the capacity to generate new written content, follow detailed instructions for product improvement, and incorporate content from supplemental data sources. While a part of the professional responsibility of faculty in academic medicine, writing letters of recommendation (LORs) is often time consuming and repetitive candidate to candidate. Yet, crafting these letters well is paramount to convey an applicant’s unique attributes in a time whe

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Frătică-Dragomir, Alina Mihaela. "The Concept of Electronic Pensioner in Some Countries Versus Romania." Cunoașterea Științifică 3, no. 2 (2024). http://dx.doi.org/10.58679/cs44904.

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We aim to introduce the concept of e-pensioner (EP) with the intention of having this term used as a document within the European Union’s strategy on Artificial Intelligence (AI) for the period 2023-2027 and after implemented into the legislation of member countries. The relationship between older generations and emerging forms of digitalization and artificial intelligence is the focal point, aiming to provide an easily approachable dimension for pensioners. This article presents an analytical framework and approaches for integrating pensioners into the digital era. Following the exposition of

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Kılıç, Serhan Ayberk, and Kasım Serbest. "Increasing the Efficiency of the Use of Patient Information Leaflets by Using Retrieval Augmented Generation." Journal of Smart Systems Research, November 28, 2024. http://dx.doi.org/10.58769/joinssr.1574195.

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This paper introduces a Retrieval-Augmented Generation (RAG) system specifically designed for enhancing the accessibility and comprehension of medical information from patient information leaflets documents. Leveraging state-of-the-art technologies such as Optical Character Recognition (OCR), vector embeddings, hybrid search mechanisms combining semantic and full-text search, and Large Language Models (LLMs) like GPT-3.5 turbo, the system efficiently processes and responds to natural language queries. By integrating these components into a cohesive architecture, the RAG system facilitates accu

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Bambal, Saurabh, Jayesh Deshmukh, Mohit Bhagat, Sachin Thakare, and Shubhangi Gulhane. "Implementation of ‘Legal Aid: Know Your Rights’: A Digital Platform for Legal Assistance." International Journal For Multidisciplinary Research 7, no. 2 (2025). https://doi.org/10.36948/ijfmr.2025.v07i02.41889.

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"Legal Aid: Know Your Rights" is a modern web-based platform developed to make legal information more approachable and understandable for everyday users. It focuses on breaking down complex legal topics into simple formats, helping users—particularly those with limited legal access—learn about their rights and available processes. The application is built using React.js, Tailwind CSS, Supabase, and TypeScript, offering a clean, responsive, and intuitive user experience across devices. The platform provides several key features: a searchable legal glossary, predefined legal document templates w

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Baumann, Edward, Charles Hsu, Hayley Buba, and Taylor Cox. "An Introductory Approach to Time-Series Data Preparation and Analysis." Annual Conference of the PHM Society 15, no. 1 (2023). http://dx.doi.org/10.36001/phmconf.2023.v15i1.3561.

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Machine learning (ML)/Artificial Intelligence (AI) has widespread applications and has revolutionized many industries due to advanced and matured sensor technology, as well as large-scale data collection efforts. One of the key tasks for effective ML/AI operations is the extraction and identification of useful and usable data to identify complex interrelationships and solve problems efficiently. The usefulness of the data is the value and meaning of the data within the desired model, while the usability of the data refers to the ease of use of data in a model. Complex supervised and unsupervis

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Herzog, David Josef, and Nitsa Herzog. "On the Hard Problem: Revisited, Re-Evaluated, Recast." Qeios 7, no. 3 (2025). https://doi.org/10.32388/l7ssua.2.

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This paper is an extension of our previous article, “What is it like to be an AI bat?”[1]. Questions discussed in the first paper are quite complex and cannot be responded to in a brief, consecutive way. As a result, we divided more detailed discussion into separate topics, united under the umbrella of problems of consciousness and intelligence, artificial and natural. This first part investigates basic postulates associated with the hard problem phenomenon. There are two opposing camps that support the existence or non-existence of a hard problem, with quite a wide field between these two pol

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Laurence, Dan, and Helen Patterson. "Artificial Intelligent Branching Simulations (AIBS) in Critical Care Neonatal Nursing." ASCILITE Publications, November 11, 2024, 115–16. http://dx.doi.org/10.14742/apubs.2024.1170.

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Roleplaying, simulations and branching scenarios are among the most authentic, critical and effective educational experiences, though have seen limited adoption due to the expense of creating, staffing, adapting and sustaining them over time (Davies, 2013). The new generation of large language models have made possible new affordances that enable delivering scenario based roleplaying experiences more sustainably. This Pecha Kucha charts the development process, frontier technology and the positive outcomes of an artificial, intelligent branching simulation (AIBS) a in critical care neonatal nu

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Mohapatra, Subasis, Mannava Yesubabu, Amlan Sahoo, Subhadarshini Mohanty, and Sachi Nandan Mohanty. "IoT-based Ubiquitous Healthcare System with Intelligent Approach to an Epidemic." Recent Patents on Engineering 18 (October 10, 2023). http://dx.doi.org/10.2174/0118722121240884230926092316.

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Abstract: The recent pandemic has shown its different shades across various solicitations, especially in the healthcare sector. It has a great impact on transforming the traditional healthcare architecture, which is based on the physical approaching model, into the modern or remote healthcare system. The remote healthcare approach is quite achievable now by utilizing multiple modern technological paradigms like AI, Cloud Computing, Feature Learning, the Internet of Things, etc. Accordingly, the pharmaceutical section is the most fascinating province to be inspected by medical experts in restor

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Ashraf, Rabia, Aly Omer Patel, and Sana Aijaz. "Advancing Outpatient Diagnosis of Obstructive Sleep Apnoea through Artificial Intelligence: Promise and Pitfalls." Annals of King Edward Medical University 31, Spl2 (2025). https://doi.org/10.21649/akemu.v31ispl2.6065.

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Dear Editor, Obstructive Sleep Apnoea (OSA) is a prevalent and clinically significant disorder of sleep characterized by recurrent episodes of sleep-related airflow obstruction despite continued respiratory effort. These events are predominantly caused by obstruction of the upper airway. These events are frequently accompanied by daytime somnolence, sleep disturbance, and recurrent hypoxia. A meta-analysis of 17 studies approximates that about 425 million people worldwide (95% CI: 399–450 million) have moderate-to-severe OSA aged 30 to 69 years (1). OSA is among the most underdiagnosed and und

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Bunn, Tristan, and Marcos Steagall. "uMzantsi (South): Exploration and Wave Motion Through Generative Art." Link Symposium Abstracts 2020 2, no. 1 (2021). http://dx.doi.org/10.24135/link2021.v2i1.167.

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"uMzantsi" (South) is a series of artworks created using a combination programming code, various ink pens, different papers, and a 2-axis plotter. Specifically, the artist employed a combination of Python code, his bespoke generative code editor project (thonny-py5mode), and vector graphics software (Inkscape). Running each Python script produces unexpected results based on variants of mathematical formulas for wave/ripple-like motion. Creatively, the project examines exploration and wave motion through generative art; technically, it showcases what py5—a new creative coding library—can produc

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