Introduction to AI in Disease Detection — An Overview of the Use of AI in Detecting Diseases, Including the Benefits and Limitations of the Technology

Published: Jan. 3, 2025

The convergence of artificial intelligence (AI) and disease detection signals a sea change in modern medicine. This chapter contributes to this overview by detailing the role AI revolutionizing diagnosis, focusing on innovations imminent trends reshaping diagnostic practices. adds debate regarding pros cons through critical review, underlining its transformative potential via deep learning algorithms that make processing vast amounts medical data possible at speeds precisions were unimaginable before. Out these developments, several challenges are emerging, such as "black box" characteristics models privacy bias issues. It is regard study brings table cutting-edge state-of-the-art AI-driven diagnosis techniques: multimodal fusion assimilates wide variety sources, transfer for efficient adaptation models, explainable methods enhance interpretability privacy-preserving federated diagnostics. Innovation areas under investigation offer great hope improved accuracy, personalization patient care, mitigated healthcare disparities. By embracing advancements facilitating interdisciplinary collaboration, stakeholders can allow have full disruptive toward improving outcomes furthering paradigm precision

Language: Английский

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Exploring the Major Trends and Emerging Themes of Artificial Intelligence in the Scientific Leading Journals amidst the COVID-19 Era

Big Data and Cognitive Computing, Journal Year: 2023, Volume and Issue: 7(1), P. 12 - 12

Published: Jan. 11, 2023

Artificial intelligence (AI) has recently become the focus of academia and practitioners, reflecting substantial evolution scientific production in this area, particularly during COVID-19 era. However, there is no known academic work exploring major trends extant emerging themes research AI leading journals. To end, study to specify progress on among top-tier journals by highlighting development its trends, topics, key themes. This article employs an integrated bibliometric analysis using evaluative relational metrics analyze, map, outline articles published journals, based latest CiteScore Scopus-indexed between 2020 2021. The findings depict conceptual social structures, journals’ publications given period. paper represents valuable implications for concerned scholars, centers, higher education institutions, various organizations within different domains. Limitations directions further are outlined.

Language: Английский

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Digital transformation for sustainable health and well-being: a review and future research directions

Discover Sustainability, Journal Year: 2024, Volume and Issue: 5(1)

Published: May 30, 2024

Abstract Ensuring good health and well-being is one of the crucial Sustainable Development Goals (SDGs) that aims to promote healthy lives for people all ages. This involves providing affordable environmentally friendly medical services public fairly equitably. Good goals include achieving fair outcomes strong healthcare systems. It also highlights importance integrating sustainable considerations into policy frameworks developing countries, which are established address social factors influence health. Regarding reform, Information Communication Technologies (ICTs) play a pivotal role as key enablers improve patient access, treatment quality, system efficiency. shift in focus significance fostering digital accessibility, sustainability, inventiveness, cybersecurity, leadership. Nevertheless, incorporating progressively advancing ICT technology systems, sometimes called transformation, not simple. However, some challenges arise integration, application design, security measures. While numerous studies have been suggested tackle technologies these had limited scope considered several factors. Therefore, there pressing need an extensive research study focusing on integration technologies, design challenges, privacy areas, potential positive negative effects. this paper contributes literature covering important SDG, “Good well-being,” its along with summarising our findings detailed taxonomical way. First, we analyze all-encompassing taxonomy prior well-being, emphasizing healthcare, specifically applications associated Electronic Health (E-Health), future avenues exploration. Then, explore transformation significant components, highlight E-Health’s benefits, categorize challenges. Next, determine Blockchain Technology today’s leading E-Health. We discuss characteristics, describe possible types Blockchain-based E-Health use cases. Furthermore, compare impacts identify open issues directions, strengthening researchers solutions.

Language: Английский

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The Significance of Industry 4.0 Technologies in Enhancing Various Unit Operations Applied in the Food Sector: Focus on Food Drying

Food and Bioprocess Technology, Journal Year: 2024, Volume and Issue: unknown

Published: June 10, 2024

Language: Английский

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Mitigating bureaucratic inefficiencies through blockchain technology in Africa

Frontiers in Blockchain, Journal Year: 2023, Volume and Issue: 6

Published: Jan. 18, 2023

With the Fourth Industrial Revolution (4IR) wave engulfing African governments, need to do, and use something new has already infiltrated many public sector organizations. While modern technologies are being embraced in private sector, governments emulating other Information Communication Technologies (ICTs) advance their economies while managing risk that these sophisticated can trigger. Blockchain technology is one of emerging 4IR believed have capacity mitigate bureaucratic inefficiencies, although scholars argue implementing such comes at a higher price. To understand how blockchain help reduce inefficiencies bureaucracy, researchers employed systematic literature review analysis where documents from various databases as Scopus, Web Science, Google Scholar were systematically sampled depending on they offer meaningful data concerning implementation. The analyses secondary sources revealed multiple challenges opportunities associated with government. include poor project management, weak institutions do not uphold accountability transparency entry using blockchain, unavailability infrastructure, risk-averse attitude, absence institutional readiness. By enabling policies government, study could improve taxation bureaucracies altering errors maximizing efficiency. Further merits healthcare education be realized by technology. conclusions drawn this shown for bureaucracy thrive technology, there prepare embrace At same time, investment soft technical skills remains fundamental service provision. Institutional readiness another deterrent administration regard demanding since it may require change, management structures reshuffled respond demands delivery goods.

Language: Английский

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Artificial Intelligence Educational Pedagogy Development

Advances in business information systems and analytics book series, Journal Year: 2024, Volume and Issue: unknown, P. 65 - 93

Published: Jan. 7, 2024

The current digital society has witnessed important developments in robotics and artificial intelligence (AI) research being applied to several spheres of life order address multitude issues. While there are numerous studies on human-robot collaboration low- high-level tasks with a focus robot development, the study, chapter focused organizational issues arising from co-working education particular reference network (REN) for universities as leverage human capital development. identified critical REN tried solve them an pedagogical normalization perspective. described AI-powered instructional application development process that can participate impact AI pedagogic literacy using deep learning, introducing emphasis expansion.

Language: Английский

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A Review of AI for optimization of 3D Printing of Sustainable Polymers and Composites

Composites Part C Open Access, Journal Year: 2024, Volume and Issue: unknown, P. 100513 - 100513

Published: Sept. 1, 2024

Language: Английский

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Machine Learning In Sustainable Development–An Overview

Published: April 20, 2023

I have studied how artificial intelligence (AI) or machine learning (ML) is applied in a sustainable system called "Eugenie" for my work, project, and thesis. In this get to discuss Eugenie's role ensuring the sustainability of large environmental business organizations. also it aids operation managers making predictions about when their machines will break down days, weeks, months advance, allowing them schedule maintenance cycles more effectively. other words, Eugenie provides plant operators with data so they can prioritize repairs. executes process by utilizing real-time from numerous sensors attached machinery equipment industry, metals mining, oil gas, smart cities industries. Two products make up program; first named RAY-FINN second PAPILLON. assists businesses variety ways, including:•Aids attainment operational excellence organizations•Always raise overall profitability.•Contributes greener safer future.

Language: Английский

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Sustainability assessment of station-city integration based on DPSIR-SDGs framework: a case study of Chengdu in China

Environment Development and Sustainability, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 9, 2025

The integrated station-city urban space development model based on public transportation-oriented solves problems such as chaotic traffic order and provides new ideas for promoting sustainable development. Evaluating the sustainability of integration at planning stage can solve current development, low efficiency transportation synergy lack coordination organization land This paper constructs a evaluation index system Driving Force-Pressure-State-Impact-Response-Sustainable Development Goals (SDGs) framework, which effectively integrates resource, economic, environmental factors problem SDGs model's broad designation. influence relationship among indicators was analyzed using network hierarchy analysis (ANP), weights were determined. A genetically improved Ant Colony Optimization (ACO) algorithm establishes integration. ACO overcomes shortcomings algorithm, tendency to fall into local optimum, is easy calculate operate. Taking Chengdu X station project in China an example empirical research, results show that overall level this IV (good), 18 out 33 third-level are Higher Sensitivity indicators. Finally, combining indicator sensitivity, study proposes targeted suggestions three types indicators: Weight–Higher Sensitivity, Weight–Low Low Sensitivity. proposed provide theoretical basis decision-makers carry planning.

Language: Английский

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Mapping the landscape: A bibliometric analysis of AI and teacher collaboration in educational research

F1000Research, Journal Year: 2025, Volume and Issue: 14, P. 201 - 201

Published: Feb. 13, 2025

Background This study intends to investigate the relationship between artificial intelligence and teachers’ collaboration in educational research response growing use of technologies current status field. Methods A total 62 publications were looked at through a systematic review that included data mining, analytics, bibliometric methods. Result The shows steady increase field teacher research, especially last few years with involvement USA, China, India. Education information technology are main contributors this study, followed by an international open distance learning research. Scopus database is used find publication trends, important papers, major themes, keywords. It also looks target concepts futuristic themes. Conclusions Over three-year period, average citation value 12.44%. education system, learning, e-learning, sustainability, COVID-19 issues, team challenges, organizational conflicts, digital transformation just topics it significantly contributes to. acknowledges its limitations considers potential avenues for additional results emphasize gaps literature, highlighting necessity more can help develop strategic approaches address issues take advantage opportunities relating higher study’s ultimate goal offer guidance tactics promote cooperation development intelligence.

Language: Английский

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