Open Artificial Intelligence (AI) published an AI chatbot tool called ChatGPT at the end of November 2022. Generative Pre-trained Transformer (GPT) architecture is the foundation of ChatGPT. On the ...internet, ChatGPT has been rapidly growing. This chatbot enables users to discuss with the AI by inputting prompts, and it is based on OpenAI’s language model. Although ChatGPT is fantastic and produces exciting results for writing tales, poetry, songs, essays, and other things, it has certain restrictions. Users may ask the bot questions, and it will reply with pertinent, convincing subjects and replies. ChatGPT has now risen to the top of several academic agendas. Administrators create task teams and hold institution-wide meetings to react to the tools, with most of the advice being to adopt this technology. This paper briefs about the ChatGPT and its need. Further, various Progressive Work Flow Processes of the ChatGPT Tool are stated diagrammatically. Specific features and capabilities of the ChatGPT Support System are studied in this paper. Finally, we identified and discussed the significant roles of ChatGPT in the current scenario. The neural language models that form the foundation of character AI have been developed from the bottom up with talks in mind. This technology implies that the programme uses deep learning methods to analyse and produce text. The model “understands” the subtleties of human-produced natural language using vast amounts of data from the internet.
•Open Artificial Intelligence (AI) published an AI chatbot tool called ChatGPT at the end of November 2022.•This paper briefs about ChatGPT and its need in the current scenario.•Progressive Work Flow Processes of the ChatGPT tool are diagrammatically stated.•Specific features and capabilities of the ChatGPT support system are elaborated in this paper.•Paper identified and discusses the significant roles of ChatGPT in the current scenario.
The current global challenge of COVID-19 pandemic has surpassed the provincial, radical, conceptual, spiritual, social, and pedagogical boundaries. Internet of Things (IoT) enabled healthcare system ...is useful for proper monitoring of COVID-19 patients, by employing an interconnected network. This technology helps to increase patient satisfaction and reduces readmission rate in the hospital.
Searched the databases of Google Scholar, PubMed, SCOPUS and ResearchGate using the keywords “Internet of things” or “IoT” and “COVID-19”. Further inputs are also taken from blogs and relevant reports.
IoT implementation impacts on reducing healthcare cost and improve treatment outcome of the infected patient. Therefore, this present study based research is attempted to explore, discuss, and highlight the overall applications of the well-proven IoT philosophy by offering a perspective roadmap to tackle the COVID-19 pandemic. Finally, twelve significant applications of IoT are identified and discussed. It has ultimately forced the researchers, academicians, and scientists to propose some productive solutions to overcome or confront this pandemic.
IoT is helpful for an infected patient of COVID-19 to identify symptoms and provides better treatment rapidly. It is useful for patient, physician, surgeon and hospital management system.
•Internet of Things (IoT) is an innovative technology used to provide information and monitoring system during COVID-19 epidemic.•This technological platform can be used to tackle challenges during the lockdown like situations.•IoT would help to provide an automated and transparent treatment process to tackle COVID-19 pandemic situation.
Medical field has extensive use of different scanning like X-rays, CT, MRI and Ultrasound. These techniques are quite useful for providing information on the internal organs. However, there is a gap ...for obtaining information of the outer body parts which can now be taken care by 3D Scanning technologies. A large number of research papers about different scanning techniques and 3D scanning has been studied to identify the impact of them and the subsequent research.
Doctors and technologists use the available scanning technologies in different sub-medical fields. This paper endeavours to find out the best possible usage of 3D scanning technologies in the medical area. This paper will help doctors for best treatment to the patient with high knowledge, minimum risks and maximising benefits.
A large number of the relevant research papers from 2008 to April 2018, identified through Scopus are studied using bibliometric analysis, thus to determine strength & limitation and to undertake application analysis.
Year-wise, Journal-wise and relevant applications wise study undertaken in the medical field through Bibliometric research to identify the strength, limitations, and applications of 3D scanning, and other contemporaries scanning technologies.
The bibliometric analysis shows that there is an increasing trend in the research work undertaken in 3D scanning application in the medical field, this also explains future potential and contribution. Corporate are exploring 3D scanning for commercial medical applications along with part analysis & designs before the actual production. It helps to create efficient implants easily and quickly. In this paper, we have summarised 3D scanning applications for medical purposes. This technology helps to produce medical implant according to the required specification. It is used for the accurate measuring of patient's body shape, size and skin surface area or an individual part of the body. In medical, data varies from patient to patient, so for producing a 3D digital image, 3D scanning technologies are used which provide digital 3D models. We can obtain improved patient treatment through the integration of digital models with Virtual Reality and Holographic techniques. The significant limitation of this technology is that it can only scan the outer surface of the body or part/model.
Circular economy is gaining considerable attention among global business professionals, organisations, and academia. Industry and governments realise the fast depletion of resources & environmental ...degradation and a need for sustainable development. Despite this, there is a scarcity of literature related to the circular economy, the circular economy is effectively adopted through circular practices. Therefore, this study's primary objective is to investigate the circular economy practices to transform an existing linear model into a circular economy model. In order to accomplish this objective, this research identified fifteen circular economy practices through the literature review and experts' input. These circular economy practices are evaluated using CoCoSo and prioritised the circular economy practices based on their importance. Results show that the significant circular practice is 'consumer awareness', 'legislation and policies', 'develop the circular culture', 'awareness among the supply chain partners' and 'designing products for circularity'. These are the practices that are essential to adopt for an organisation to adopt the circular economy effectively. This study facilitates managers to make an action plan for executing circular practices. By considering the prioritisation of circular practices, managers and professionals can optimise their organisational resources to adopt the circular practice effectively.
AbstractObjectiveTo study the current status and applications of additive manufacturing (AM) in dentistry along with various technologies, benefits and future scope.MethodsA significant number of ...relevant research papers on the additive manufacturing application in dentistry are identified through Scopus and studied using bibliometric analysis that shows an increasing trend of research in this field. This paper briefly describes various types of AM technologies with their accuracy, pros and cons along with different dental materials. Paper also discusses various benefits of AM in dentistry and steps used to create 3D printed dental model using this technology. Further, ten major AM applications in dentistry are identified along with primary references and objectives.ResultsAdditive manufacturing is an innovative technique moving towards the customised production of dental implants and other dental tools using computer-aided design (CAD) data. This technology is used to manufacture elaborate dental crowns, bridges, orthodontic braces and can also various other models, devices and instruments with lesser time and cost. With the help of this disruptive innovation, dental implants are fabricated accurately as per patient data captured by the dental 3D scanner. The application of this technology is also being explored for the precise manufacturing of removal prosthetics, aligners, surgical templates for implants and produce models that for the planning of treatment and preoperative positioning of the jaws.
Generative Pretrained Transformer, often known as GPT, is an innovative kind of Artificial Intelligence (AI) which can produce writing that seems to have been written by a person. OpenAI created this ...AI language model called ChatGPT. It is built using the GPT architecture and is trained on a large corpus of text data to respond to natural language inquiries that resemble a person’s requirements. This technology has lots of applications in healthcare. The need for accurate and current data is one of the major obstacles to adopting ChatGPT in healthcare. GPT must have access to precise and up-to-date medical data to provide trustworthy suggestions and treatment options. It might be accomplished by ensuring that the data used by GPT is received from reliable sources and that the data is updated regularly. Since sensitive medical information would be involved, it will also be crucial to consider privacy and security issues while utilising GPT in the healthcare industry. This paper briefs about ChatGPT and its need for healthcare, its significant Work Flow Dimensions and typical features of ChatGPT for the Healthcare domain. Finally, it identified and discussed significant applications of ChatGPT for healthcare. ChatGPT can comprehend the conversational context and provide contextually appropriate replies. Its effectiveness as a conversational AI tool makes it useful for chatbots, virtual assistants, and other applications. However, we see many limitations in medical ethics, data interpretation, accountability and other issues related to the privacy. Regarding specialised tasks like text creation, language translation, text categorisation, text summarisation, and creating conversation systems, ChatGPT has been pre-trained on a large corpus of text data, and somewhat satisfactory results can be expected. Moreover, it can also be utilised for various Natural Language Processing (NLP) activities, including sentiment analysis, part-of-speech tagging, and named entity identification.
•Generative Pretrained Transformer (GPT) can produce writing that a person has written.•Open Artificial Intelligence (AI) created this AI language model called ChatGPT.•Paper briefs ChatGPT, its need for healthcare, features and its significant Work Flow Dimensions.•This technology has many healthcare applications that better support patient care, research and planning, and treatment options, but with some limitations.•Paper identifies and discusses significant applications of ChatGPT for healthcare.
Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate healthier crops, manage pests, monitor soil and growing conditions, analyse data for farmers, and enhance ...other management activities of the food supply chain, the agriculture sector is turning to AI technology. It makes it challenging for farmers to choose the ideal time to plant seeds. AI helps farmers choose the optimum seed for a particular weather scenario. It also offers data on weather forecasts. AI-powered solutions will help farmers produce more with fewer resources, increase crop quality, and hasten product time to reach the market. AI aids in understanding soil qualities. AI helps farmers by suggesting the nutrients they should apply to increase the quality of the soil. AI can help farmers choose the optimal time to plant their seeds. Intelligent equipment can calculate the spacing between seeds and the maximum planting depth. An AI-powered system known as a health monitoring system provides farmers with information on the health of their crops and the nutrients that need to be given to enhance yield quality and quantity. This study identifies and analyses relevant articles on AI for Agriculture. Using AI, farmers can now access advanced data and analytics tools that will foster better farming, improve efficiencies, and reduce waste in biofuel and food production while minimising the negative environmental impacts. AI and Machine Learning (ML) have transformed various industries, and the AI wave has now reached the agriculture sector. Companies are developing several technologies to make monitoring farmers' crop and soil health easier. Hyperspectral imaging and 3D laser scanning are the leading AI-based technologies that can help ensure crop health. These AI-powered technologies collect precise data on the health of the crops in greater volume for analysis. This paper studied AI and its need in Agriculture. The process of AI in Agriculture and some Agriculture parameters monitored by AI are briefed. Finally, we identified and discussed the significant applications of AI in agriculture.
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•In recent years, Artificial Intelligence (AI) has been extensively applied in farming.•AI helps farmers choose the optimum seed for a given weather scenario.•AI-powered solutions will help farmers produce more with lesser resources and improve crop quality.•Significant applications of AI in agriculture are identified and discussed.
One of the fundamental components of the United Nations’ sustainable development 2030 agenda is quality education. It aims to ensure inclusive and equitable quality education for all. Digital ...technologies have emerged as an essential tool to achieve this goal. These technologies are simple to detect emissions sources, prevent additional damage through improved energy efficiency and lower-carbon alternatives to fossil fuels, and even remove surplus greenhouse gases from the environment. Digital technologies strive to decrease or eliminate pollution and waste while increasing production and efficiency. These technologies have shown a powerful impact on the education system. The recent COVID-19 Pandemic has further institutionalised the applications of digital technologies in education. These digital technologies have made a paradigm shift in the entire education system. It is not only a knowledge provider but also a co-creator of information, a mentor, and an assessor. Technological improvements in education have made life easier for students. Instead of using pen and paper, students nowadays use various software and tools to create presentations and projects. When compared to a stack of notebooks, an iPad is relatively light. When opposed to a weighty book, surfing an E-book is easier. These methods aid in increasing interest in research. This paper is brief about the need for digital technologies in education and discusses major applications and challenges in education.
Regular hospital visits can be expensive, particularly in rural areas, due to travel costs. In the era of the Covid-19 Pandemic, where physical interaction becomes risky, people prefer telemedicine. ...Fortunately, medical visits can be reduced when telemedicine services are used through video conferencing or other virtual technologies. Thus, telemedicine saves both the patient's and the health care provider time and the cost of the treatment. Furthermore, due to its fast and advantageous characteristics, it can streamline the workflow of hospitals and clinics. This disruptive technology would make it easier to monitor discharged patients and manage their recovery. As a result, it is sufficient to state that telemedicine can create a win-win situation. This paper aims to explore the significant capabilities, features with treatment workflow, and barriers to the adoption of telemedicine in Healthcare. The paper identifies seventeen significant applications of telemedicine in Healthcare. Telemedicine is described as a medical practitioner to diagnose and treat patients in a remote area. Using health apps for scheduled follow-up visits makes doctors and patients more effective and improves the probability of follow-up, reducing missing appointments and optimising patient outcomes. Patients should have an accurate medical history and show the doctor any prominent rashes, bruises, or other signs that need attention through the excellent quality audio-video system. Further, practitioners need file management and a payment gateway system. Telemedicine technologies allow patients and doctors both to review the treatment process. However, this technology supplements physical consultation and is in no way a substitute for a physical consultation. Today this technology is a safe choice for patients who cannot go to the doctor or sit at home, especially during a pandemic.
Circular economy (CE) is impacting the contemporary supply chain via transforming the production system, delivery method and product life solutions. CE models of a supply chain are relatively new, ...and organizations are trying to adopt circular practices to shift towards a CE. The primary aim of this study is to identify and investigate key enablers that assist organizations in taking initiatives towards the implementation of circular practices. In order to accomplish this objective, the key enablers of circular initiatives are identified through a comprehensive review of the available literature and then finalized through experts’ opinions. This study identifies ten significant enablers of circular initiatives and evaluates them appropriately through grey DEMATEL. The adopted methodology is to develop causal relationships among the identified enablers of circular initiatives. Further, it also categorizes the enablers of circular initiatives into cause and effect groups. The findings suggest that consumer attitude, top management commitment, economic incentives, policies and legal frameworks are vital for the implementation of circular initiatives. This study identifies and analyses the enablers that are significant for the implementation of circular practices and assists the managers/policy planners who want to move towards a CE.
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