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Transforming Healthcare Management

Patcha Bhujanga Rao, R Raghavendra, Sandra Suresh, Timir Ashokbhai Bhingradiya et al. • Advances in computer and electrical engineering book series (2024)

The healthcare industry is witnessing a transformative era driven by the rapid advancements in artificial intelligence (AI). AI is no longer a futuristic concept but a tangible reality that is rapidly integrating into healthcare management ...

OPENALEX DOI: https://doi.org/10.4018/979-8-3693-9591-2.ch001

Novel Blended Learning on Artificial Intelligence for Medical Students: Qualitative Interview Study

Zoe S Oftring, Kim Deutsch, Daniel Tolks, Florian Jungmann et al. • JMIR Medical Education (2025)

Abstract BackgroundArtificial intelligence (AI) systems are becoming increasingly relevant in everyday clinical practice, with Food and Drug Administration–approved AI solutions now available in many specialties. This developmen...

DOAJ Open Access (DOAJ) DOI: 10.2196/65220

Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review

Gustavo A. Mesías-Ruiz, Gustavo A. Mesías-Ruiz, María Pérez-Ortiz, José Dorado et al. • Frontiers in Plant Science (2023)

Crop protection is a key activity for the sustainability and feasibility of agriculture in a current context of climate change, which is causing the destabilization of agricultural practices and an increase in the incidence of current or in...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpls.2023.1143326

Quantum Computing

Chuck Brooks • Wiley eBooks (2024)

Quantum computing, like artificial intelligence (AI), will create a technological paradigm shift for humankind. Superpositioning is what gives quantum computers speed and parallelism, because each qubit can represent a quantitative solution...

OPENALEX Open Access DOI: https://doi.org/10.1002/9781394310562.ch21

Quantum-Enhanced Algorithmic Fairness and the Advancement of AI Integrity and Responsibility

Akhil Chintalapati, Khashbat Enkhbat, Ramanathan Annamalai, Geraldine Bessie Amali et al. • Quantum Reports (2025)

In the evolving digital landscape, the pervasive influence of artificial intelligence (AI) on social media platforms reveals a compelling paradox: the capability to provide personalized experiences juxtaposed with inherent biases reminiscen...

DOAJ Open Access (DOAJ) DOI: 10.3390/quantum7030036

The Role and Application of Matrices in Artificial Intelligence: Foundations, Methods, and Advancements

Raviraju Balappa D, Gautam Kumar Rajput • Shodh Sari (2025)

Matrices are foundational to artificial intelligence (AI), serving as critical tools for data representation, manipulation, and transformation across various applications. From machine learning algorithms to neural network architectures, ma...

DOAJ Open Access (DOAJ) DOI: https://doi.org/10.59231/SARI7840

Artificial intelligence for quantum computing

Yuri Alexeev, Marwa H. Farag, Taylor L. Patti, Mark E. Wolf et al. • Nature Communications (2025)

Artificial intelligence (AI) advancements over the past few years have had an unprecedented and revolutionary impact across everyday application areas. Its significance also extends to technical challenges within science and engineering, in...

OPENALEX cc-by DOI: https://doi.org/10.1038/s41467-025-65836-3 PMC: 12673084

Quantum computing models for artificial neural networks

Stefano Mangini, Francesco Tacchino, Dario Gerace, Daniele Bajoni et al. • Europhysics Letters (EPL) (2021)

Abstract Neural networks are computing models that have been leading progress in Machine Learning (ML) and Artificial Intelligence (AI) applications. In parallel, the first small-scale quantum computing devices have become available in rece...

OPENALEX Open Access DOI: https://doi.org/10.1209/0295-5075/134/10002

Quantum Computing and Artificial Intelligence

Pethuru Raj, Abhishek Kumar, Ashutosh Kumar Dubey, Surbhi Bhatia et al. • De Gruyter eBooks (2023)

This book is to explore and explain the strategically sound capabilities at the synchronization between quantum computing and artificial intelligence (AI). The reader will be presented with an introduction and a deeper review of the technol...

OPENALEX DOI: https://doi.org/10.1515/9783110791402

AI and Cybersecurity

Kalyan Chakradhar Regula • Advances in computational intelligence and robotics book series (2025)

Artificial Intelligence (AI) and Cybersecurity have become deeply intertwined, shaping the future of digital safety and resilience. As AI-driven solutions enhance threat detection, automation, and response mechanisms, cybersecurity safeguar...

OPENALEX DOI: https://doi.org/10.4018/979-8-3373-1142-5.ch015

Blockchain for secure and decentralized artificial intelligence in cybersecurity: A comprehensive review

Ahmed M. Shamsan Saleh • Blockchain Research and Applications (2024)

As the usage of artificial intelligence (AI) grows within the field of cybersecurity, so too does the demand for secure and decentralized AI systems to protect against potential cyber threats. Blockchain technology (BT) has emerged as the i...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.bcra.2024.100193

Blockchain in Cybersecurity

Akhil John Mampilly, Vijaya Kittu Manda, Chithirai Pon Selvan • Advances in information security, privacy, and ethics book series (2024)

Blockchain is a promising technology that can help organizations improve their cybersecurity. Blockchain has many inherent features that can help enhance data security, improve threat detection and response, strengthen authentication and au...

OPENALEX DOI: https://doi.org/10.4018/979-8-3693-9225-6.ch003

Cybersecurity for Industry 5.0: trends and gaps

Ravdeep Kour, Ramin Karim, Pierre Dersin, Naveen Venkatesh Sridharan • Frontiers in Computer Science (2024)

Industry 5.0 promises to revolutionize the industry by focusing on human-centric, sustainability, and resilience empowered by emerging technologies such as Artificial Intelligence (AI) and digitalization. This paradigm shift is expected to ...

OPENALEX cc-by DOI: https://doi.org/10.3389/fcomp.2024.1434436

Harnessing Artificial Intelligence Capabilities to Improve Cybersecurity

Sherali Zeadally, Erwin Adi, Zubair Ahmed Baig, Imran Ali Khan • IEEE Access (2020)

Cybersecurity is a fast-evolving discipline that is always in the news over the last decade, as the number of threats rises and cybercriminals constantly endeavor to stay a step ahead of law enforcement. Over the years, although the origina...

OPENALEX cc-by DOI: https://doi.org/10.1109/access.2020.2968045

Synergizing Generative AI and Cybersecurity: Roles of Generative AI Entities, Companies, Agencies, and Government in Enhancing Cybersecurity

Pan Singh Dhoni, Ravinder Kumar (2023)

The digital landscape of the modern world has witnessed a remarkable evolution over the past few decades, with technological advancements permeating every facet of our lives. While these innovations have brought forth unprecedented convenie...

OPENALEX cc-by DOI: https://doi.org/10.36227/techrxiv.23968809.v1

Review of Generative AI methods in cybersecurity

Yagmur Yigit, William Johnston Buchanan, Madjid Tehrani, Leandros A. Maglaras • Internet of Things and Cyber-Physical Systems (2025)

Over the last decade, Artificial Intelligence (AI) has become increasingly popular, especially with the use of chatbots such as ChatGPT, Google’s Gemini, and DALL-E. With this rise, large language models (LLMs) and Generative AI (GenAI) hav...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.iotcps.2026.04.001