Current trends in AI and ML for cybersecurity: A state-of-the-art survey

Cogent Engineering, Journal Year: 2023, Volume and Issue: 10(2)

Published: Oct. 25, 2023

Language: Английский

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An integrated deep learning and natural language processing approach for continuous remote monitoring in digital health

Decision Analytics Journal, Journal Year: 2023, Volume and Issue: 8, P. 100301 - 100301

Published: Aug. 16, 2023

The rapid adoption of digital health technologies generates a vast amount data, presenting an opportunity to leverage advanced data analytics and cognitive computing extract insights knowledge from this improve healthcare outcomes. This research presents integrated deep learning (DL) natural language processing (NLP) approach for continuous remote monitoring in health. involves using DL algorithms analyse collected wearable devices tools, while NLP is used patient feedback electronic medical records. Various algorithms, such as convolutional neural networks (CNNs) recurrent (RNNs), are suggested images time-series unsupervised techniques, autoencoders, recommended feature extraction. We provide comparison between our proposed previous related works. also identify discuss the limitations existing works explain how overcomes these limitations. study delivers review prevailing work health, examining applications various areas healthcare, identifying challenges opportunities implementing them proposing directions that can help accelerate their adoption. enable professionals remotely monitor patients' conditions real-time predict likelihood adverse events, leading improved outcomes, reduced costs, enhanced quality care. paper provides into current trends, challenges, informing future development.

Language: Английский

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Using Ghana's Alternative Medical Healthcare Practice Act 2000 (Act 575) to Evaluate Doctor-Patient Relationship and Medical Negligence Issues Arising from Integration of Artificial Intelligence in Healthcare

Al-Salam Journal for Medical Science, Journal Year: 2024, Volume and Issue: 3(1), P. 82 - 87

Published: Jan. 30, 2024

This study examines the necessary changes in Ghana’s medical negligence law which governs artificial intelligence (AI) pilots hospitals to preserve doctor-patient relationship and address liability gap by reviewing Law 575, examination of case law. Combined with lessons from Nigerian global literature, practical recommendations result acceptable changes, provider responsibilities are renewed, patient advocacy automation Contributions include modeling legal language for maintaining standards care, limiting algorithmic harm, advising emerging AIs on diagnosis or treatment. The need transparency equipment current calls an update Rule 575 sooner rather than waiting crimes occur. Emphasis is placed potential clinical leaders policymakers.

Language: Английский

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Digital technology's impact on knowledge management in the healthcare industry in the Middle East

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 211 - 228

Published: Jan. 1, 2025

Language: Английский

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Tourism and Conservation Empowered by Augmented Reality: A Scientometric Analysis Based on the Science Tree Metaphor

Sustainability, Journal Year: 2023, Volume and Issue: 15(24), P. 16847 - 16847

Published: Dec. 14, 2023

Technology has emerged as an essential tool that revolutionized the conditions for travelers to fully immerse themselves in culture, gastronomy, and recreation of places they explore. This literature review aims understand crucial contributions currently shaping implementation augmented reality enriching technological support user experiences tourism conservation natural heritage. While on this topic is scattered across specialized databases, provides a unique opportunity deeper more cohesive analysis. Employing metaphor tree science, we have developed two valuable approaches data collected during our bibliographic exploration. On one hand, examined scientometric statistics related countries, authors, universities, research development centers are at forefront creating innovative reality-based applications promote conservation. other conducted evolutionary analysis based science trace origins most significant how evolved over time dynamic ever-developing field.

Language: Английский

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Cloud Robotics and Automation

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 65 - 77

Published: April 26, 2024

Cloud robotics is currently regarded as one of the cutting-edge research areas within mainstream automation and artificial intelligence fields. The new machine-to-cloud communication will increase productivity efficiency industrial robots. For decades, automated devices have been developing affecting practically every element life. computing associated technologies a great deal potential to get around hardware limitations boost performance. This study emphasises developments in robotic technology with particular focus on cloud-based development. Unexpected effects human life seen. chapter discusses fundamental ideas, creation process, general architecture cloud order explore clouds for improving systems. Finally, it examines how useful systems might be various real-world scenarios.

Language: Английский

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Digital Health: The Critical Value of Mobile Technology for the Health Sector, Different Application Examples from the World and Current Trends

Journal of Emerging Computer Technologies, Journal Year: 2024, Volume and Issue: 4(1), P. 25 - 37

Published: Sept. 17, 2024

The internet technology, which began to integrate into our lives rapidly by the end of 1990s, underwent significant transformations with advent mobile technology in 2000s. Initially accessible through desktop or notebook computers, has evolved become an integral part virtually every aspect as advanced throughout purpose this study is examine role technologies within current health technologies, investigate necessary competencies, evaluate developments both Türkiye and globally, assess information infrastructure, skills required sector. Our research details various specific applications from numerous countries. Findings indicate that established itself much more effectively countries strong infrastructure. Mobile services are perceived highly valuable citizens. real quality effectiveness depend on its acceptance swift implementation users. Gamification important tool adoption applications. These can enhance motivation enabling doctors monitor patient care patients track their own health. A good system should be accepted doctors. In like Türkiye, where largely supported state, it seen for Ministry Health prioritize establish a robust system. Furthermore, structure services, essential focus right problems identify issues order priority. Literature review reveals have been implemented fields such dermatology, orthopedics, ophthalmology, neurosurgery, clinical pathology. offer cost advantages delivery services. As population ages European Union countries, national governments seeking ways reduce healthcare costs. considered solution transform costs viable new models industrialized developing Moreover, observed provide benefits elderly, particularly developed Germany Sweden. provides comprehensive assessment sector, highlights prominent around world, offers extensive evaluation field readers.

Language: Английский

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Kecerdasan Buatan dan Big Data dalam Industri Manufaktur: Sebuah Tinjauan Sistematis

Deleted Journal, Journal Year: 2023, Volume and Issue: 1(1), P. 41 - 53

Published: Nov. 30, 2023

Peran Kecerdasan Buatan (AI) dan Big Data dalam produksi manufaktur semakin penting mendesak industri bisnis. Penelitian ini bertujuan untuk mengidentifikasi kondisi saat ini, tren, tantangan, peluang yang muncul dari teknologi AI big data di manufaktur. Dengan menggunakan metodologi tinjauan pustaka sistematis, penelitian dengan cermat menganalisis artikel-artikel diterbitkan hingga tahun 2023. Temuan mengungkapkan bahwa sangat meningkatkan efisiensi operasional, pemeliharaan prediktif, optimalisasi rantai pasokan, dukungan pelanggan. pendekatan sentris. Tantangan seperti integrasi data, masalah kualitas, keamanan siber, pertimbangan etis penerapan juga diidentifikasi. Tinjauan memberikan kontribusi menawarkan gambaran komprehensif mengenai kemajuan terkini bidang-bidang masa depan, menekankan peran terus berkembang proses modern. The role of Artificial Intelligence and in production manufacturing is increasingly important urgent industry business. This research aims to identify current conditions, trends, challenges opportunities emerging from technology the industry. Using a systematic literature review methodology, this carefully analyzes articles published through findings reveal that are critical improving operational efficiency, predictive maintenance, supply chain optimization, customer support. centric approach. Challenges such as integration, quality issues, cybersecurity, ethical considerations implementation also identified. contributes field by offering comprehensive overview recent advances future areas research, emphasizing growing modern processes.

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ANÁLISIS DE LAS PUBLICACIONES RELACIONADAS CON LA INTELIGENCIA ARTIFICIAL EN SALUD: REVISIÓN BIBLIOMÉTRICA

Revista o Universo Observável., Journal Year: 2024, Volume and Issue: 1(8), P. 2 - 18

Published: Jan. 1, 2024

Objetivo: realizar una búsqueda y recopilación de manuscritos relacionados con la inteligencia artificial (IA) aplicada a salud. Metodología: para el análisis, se realizó en base datos Scopus, obteniendo 1813 artículos que cumplían los criterios inclusión procesaron mediante herramienta VoSViewer creación mapas co-ocurrencia redes acoplamiento bibliográfico. Los resultados muestran Estados Unidos lidera producción científica, seguido India Reino Unido, lo refleja fuerte relación entre inversión investigación generación conocimiento. Las principales áreas aplicación IA incluyen oncología, cardiología medicina personalizada, donde han logrado avances importantes diagnóstico tratamiento. conclusiones destacan potencial transformador salud, aunque reconocen desafíos éticos técnicos deben abordarse adopción más amplia.

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Exploring AI-Powered Sprint Planning Optimization Using Machine Learning for Dynamic Backlog Prioritization and Risk Mitigation

Published: Aug. 28, 2024

The integration of Artificial Intelligence (AI) and Machine Learning (ML) into agile project management has ushered in transformative capabilities for sprint planning optimization. This review explores the role AI-powered solutions enhancing through dynamic backlog prioritization proactive risk mitigation. By leveraging supervised unsupervised machine learning models, teams can analyze historical data, stakeholder feedback, realtime dynamics to predict task complexity, optimize resource allocation, adapt items based on shifting priorities. paper systematically examines various ML algorithms, such as random forests, support vector machines, neural networks, that decision-making grooming forecasting. Additionally, it evaluates AI-driven tools platforms capable automating estimations, velocity tracking, identifying potential blockers before they impact delivery timelines. Key challenges data quality, model explainability, with existing are also addressed. Through comparative analysis case study synthesis, this underscores value embedding AI intelligence frameworks drive efficiency, enhance team responsiveness, reduce risks. Ultimately, provides a roadmap researchers practitioners aiming implement intelligent systems within modern software development lifecycles.

Language: Английский

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