This research paper presents a comprehensive review of data analytics in healthcare
management, focusing on leveraging big data for decision-making. The literature review …

Smart healthcare systems represent a transformative paradigm that leverages emerging
technologies to enhance patient care, improve healthcare delivery, and optimize clinical …

Existing AI-based medicine prediction systems require substantial training time, computing
resources, and extensive labeled data, yet they often lack scalability. To bridge these gaps …

Prompt Engineering has emerged as a pivotal technique in Natural Language Processing,
providing a flexible approach for leveraging pre-trained language models. Particularly, a …

Big Data is still gaining attention as a fundamental building block of the Artificial Intelligence
and Machine Learning world. Therefore, a lot of effort has been pushed into Big Data …

From 1990 to 2024, this study presents a groundbreaking bibliometric and sentiment
analysis of nanocomposite literature, distinguishing itself from existing reviews through its …

The post-COVID-19 landscape has propelled the global telemedicine sector to a projected
valuation of USD 91.2 billion by 2022, with a remarkable compounded annual growth rate …

Recent breakthroughs in AI are poised to fundamentally enhance our study and
understanding of healthcare. The development of an integrated many-to-many framework …

The Internet of Medical Things (IoMT) can automate breast tumor detection and classification
with the potential of artificial intelligence. However, the leakage of sensitive data can cause …

Objective: In the age of digital transformation, there is a need for a sustainable information
management vision in health. Understanding the accumulation of health information …