Multirole of the internet of medical things (IoMT) in biomedical systems for managing smart healthcare systems: An overview of current and future innovative trends by Darin Mansor Mathkor, Noof Mathkor, Zaid Bassfar, Farkad Bantun, Petr Slama, Faraz Ahmad, Shafiul Haque

“…IoMT facilitates remote health biomedical system and plays a crucial role within the healthcare industry to enhance precision, reliability, consistency and productivity of electronic devices used for various healthcare purposes. …”
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Work-related psychosocial challenges and coping strategies among nursing workforce during the COVID-19 pandemic: a scoping review by Merri Iddrisu, Collins Atta Poku, Eva Mensah, Priscilla Y. A. Attafuah, Gladys Dzansi, Samuel Adjorlolo

“…Nurses stood tall among their peers in the healthcare industry saving lives. The pandemic has had a toll on nurses physically, psychologically, and socio-economically. …”
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Automatic Speech Recognition (ASR) Systems for Children: A Systematic Literature Review by Vivek Bhardwaj, Mohamed Tahar Ben Othman, Vinay Kukreja, Youcef Belkhier, Mohit Bajaj, B. Srikanth Goud, Ateeq Ur Rehman, Muhammad Shafiq, Habib Hamam

“…ASR systems or interfaces are extensively used and integrated into various real-life applications, such as search engines, the healthcare industry, biometric analysis, car systems, the military, aids for people with disabilities, and mobile devices. …”
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Hybrid Distractor for Continuous Mandibular Distraction Osteogenesis by Shahrokh Hatefi, Javad Alizargar, Yimesker Yihun, Milad Etemadi Sh, Nan-Chen Hsieh, Khaled Abou-El-Hossein

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A mixed methods protocol to implement universal firearm injury risk screening and intervention among youth and adults in emergency departments across a large US health system by Chethan Sathya, Laura Harrison, Katherine Dauber, Sandeep Kapoor

“…Discussion This study protocol has breakthrough and methodological innovations, by addressing FIMP as part of usual care to directly mitigate firearm injury risk among youth, adults, and household members (e.g., children) and by using rigorous methods to inform healthcare industry implementation of FIMP strategies. The expected outcomes of this study protocol will provide a solid basis for larger-scale dissemination and evaluation of implementation, effectiveness, and usability across broader pediatric and adult healthcare settings. …”
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Concentration-Dependent Antibacterial Activity of Chitosan on <i>Lactobacillus plantarum</i> by Renátó Kovács, Lóránd Erdélyi, Ferenc Fenyvesi, Noémi Balla, Fruzsina Kovács, György Vámosi, Ágnes Klusóczki, Alexandra Gyöngyösi, Ildikó Bácskay, Miklós Vecsernyés, Judit Váradi

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Is Pakistan ready to implement Artificial Intelligence? by Hamna Tariq, Areeba Sajid

“…According to Tata Consultancy Services Global Trends Study focusing on artificial intelligence and its impact on the healthcare industry, 86% of healthcare companies use AI", indicating its significance in improving healthcare (3). …”
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Artificial intelligence in medical education curriculum: An e-Delphi study for competencies. by S Ayhan Çalışkan, Kadir Demir, Ozan Karaca

“…<h4>Background</h4>Artificial intelligence (AI) has affected our day-to-day in a great extent. Healthcare industry is one of the mainstream fields among those and produced a noticeable change in treatment and education. …”
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Modelling and Analysis of Hybrid Transformation for Lossless Big Medical Image Compression by Xingsi Xue, Raja Marappan, Sekar Kidambi Raju, Rangarajan Raghavan, Rengasri Rajan, Osamah Ibrahim Khalaf, Ghaida Muttashar Abdulsahib

“…Due to rapidly developing technology and new research innovations, privacy and data preservation are paramount, especially in the healthcare industry. At the same time, the storage of large volumes of data in medical records should be minimized. …”
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Influence of the Print Envelope Temperature on the Morphology and Tensile Properties of Thermoplastic Polyolefins Fabricated by Material Extrusion and Material Jetting Additive Man... by Lukas Hentschel, Sandra Petersmann, Frank Kynast, Ute Schäfer, Clemens Holzer, Joamin Gonzalez-Gutierrez

“…In particular, the medical and healthcare industry can profit from these developments in terms of personalized design and batches ranging from one to five specimens overall. …”
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Highly Efficient Antibacterial Polymer Composites Based on Hydrophobic Riboflavin Carbon Polymerized Dots by Zoran M. Marković, Mária Kováčová, Sanja R. Jeremić, Štefan Nagy, Dušan D. Milivojević, Pavel Kubat, Angela Kleinová, Milica D. Budimir, Marija M. Mojsin, Milena J. Stevanović, Adriana Annušová, Zdeno Špitalský, Biljana M. Todorović Marković

“…In this way, RF-CPD composites can be used for sterilization of highly touched objects in the healthcare industry.…”
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A Convolutional Neural Network for COVID-19 Diagnosis: An Analysis of Coronavirus Infections through Chest X-rays by Avani Kirit Mehta, R. Swarnalatha, M. Subramoniam, Sachin Salunkhe

“…Coronavirus (COVID-19) disease has not only become a pandemic but also an overwhelming strain on the healthcare industry. The conventional diagnostic methods include Antigen Rapid Kits and Reverse Transcription–Polymerase Chain Reaction (RT-PCR) tests. …”
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Effectiveness of Anthocyanin-Rich Sour Cherry Extract on Gliadin-Induced Caco-2 Barrier Damage by Ágnes Klusóczki, Boglárka Oláh, Dominik Hosszú, Ferenc Fenyvesi, Judit Remenyik, Judit Homoki, Alexandra Gyöngyösi, Ildikó Bácskay, Judit Váradi

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Health care professionals' knowledge and attitudes toward telemedicine by Muhammad Salman Bashir, Diana Selvamony Lalithabai, Shahad AlOtaiby, Amani Abu-Shaheen

“…BackgroundThe utilization of modern communication technology in the healthcare field is known as telemedicine, and it represents an advancement in the healthcare industry. For effective implementation of these technologies, healthcare professionals must possess the appropriate knowledge and hold a positive perspective toward the implementation of telemedicine. …”
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Analysis of Protein-Ligand Interactions of SARS-CoV-2 Against Selective Drug Using Deep Neural Networks by Natarajan Yuvaraj, Kannan Srihari, Selvaraj Chandragandhi, Rajan Arshath Raja, Gaurav Dhiman, Amandeep Kaur

“…However, in recent time, the prevalence of COVID-19 has emerged the global healthcare industry to find a new drug that suppresses the pandemic outbreak. …”
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Predicting the Onset of Diabetes with Machine Learning Methods by Chun-Yang Chou, Ding-Yang Hsu, Chun-Hung Chou

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The Nexus Between Ethical Leadership and Employees&rsquo; Perception of Workplace Safety During COVID-19 Under Mediation and Moderation Model by Sun J, Sarfraz M, Asghar M

“…Today, the underlying mechanisms through which ethical leadership influences workplace safety perception remain underexplored, especially in the Pakistan healthcare industry. Based on the social cognitive theory, this study aims to investigate the relationship between ethical leadership and workplace safety perception and examine the mediating role of media quality, communication climate, and supervisory communication and the moderating role of moral attentiveness.Methods: An empirical survey method was used to conduct the quantitative study, with respondents representing nursing staff from hospitals in Pakistan. …”
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Increased prevalence of hearing loss, tinnitus and sudden deafness among patients with Sjögren’s syndrome by Herng-Ching Lin, Sudha Xirasagar, Tzong-Hann Yang, Yen-Fu Cheng, Chin-Shyan Chen

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Security of Things Intrusion Detection System for Smart Healthcare by Celestine Iwendi, Joseph Henry Anajemba, Cresantus Biamba, Desire Ngabo

“…This study was carried out as a result of the limitations of the intrusion detection systems in responding to attacks and challenges and in implementing privacy control and attacks in the smart healthcare industry. The research proposed a machine learning support system that combined a Random Forest (RF) and a genetic algorithm: a feature optimization method that built new intrusion detection systems with a high detection rate and a more accurate false alarm rate. …”
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Physicochemical and functional properties of the protein–starch interaction in Chinese yam by Yelin Shao, Ruize Jiao, Yingyin Wu, Fangcheng Xu, Yan Li, Qiaojun Jiang, Liang Zhang, Linchun Mao

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