Reviewer Recruitment – Join Our Editorial Mission
2025-05-13
The Artificial Intelligence, Quantum Computing, Robotics, Science and Technology Journal is expanding its pool of expert reviewers.
The Artificial Intelligence, Quantum Computing, Robotics, Science and Technology Journal (AIQCRSTJ) is an international, peer-reviewed, open-access scholarly journal dedicated to advancing research and innovation across the interdisciplinary fields of science, technology, and engineering. Published biannually, AIQCRSTJ serves as a dynamic platform for academics, researchers, practitioners, and industry professionals to disseminate their original research findings, technical innovations, case studies, and critical reviews.
2025-05-13
The Artificial Intelligence, Quantum Computing, Robotics, Science and Technology Journal is expanding its pool of expert reviewers.
2025-05-13
Great news! The Artificial Intelligence, Quantum Computing, Robotics, Science and Technology Journal is now indexed in Google Scholar.
2025-05-13
We are pleased to invite researchers, scholars, and professionals to submit original research articles, review papers.
Rapid digitization of financial and healthcare services has produced immense value while also increasing systemic vulnerability: sensitive transactions and records must be exchanged across complex, heterogeneous ecosystems subject to cyber-attacks, fraud, and regulatory scrutiny. In parallel, three technological trends distributed ledger technologies (blockchain), artificial intelligence (A ... read more
This paper presents a comprehensive framework for integrating Quantum Machine situating the problem: rising healthcare costs and the increasing complexity of health-claims data demand more powerful predictive models than standard generalized linear models (GLMs) alone can reliably deliver. We review classical actuarial techniques and contemporary Learning (QML) into actuarial prediction pipelin ... read more
Health insurance actuarial science has traditionally relied on classical statistical models to predict claims, assess risk, and set premiums. However, the growing complexity and high dimensionality of healthcare datasets challenge conventional techniques. Quantum Machine Learning (QML), integrating quantum computing and artificial intelligence, presents a promising paradigm for accelerating com ... read more
The integration of artificial intelligence (AI), wearable devices, and data science has inaugurated a transformative era in healthcare delivery. Wearables are increasingly ubiquitous, offering real-time, multimodal physiological data that extend beyond traditional clinical settings. Yet, despite their potential, translating raw wearable data into meaningful, personalized health interventions re ... read more
Machine learning (ML) and multi-modal artificial intelligence (AI) promise transformative improvements in healthcare: earlier diagnosis, personalized treatment, and system-level efficiency. Yet these promises are coupled with well-documented risks algorithmic bias, opacity, and fragile generalization that can exacerbate health inequities and undermine trust. This paper proposes a principled, re ... read more