The proliferation of artificial intelligence in healthcare has introduced transformative capabilities alongside complex ethical challenges requiring rigorous scholarly examination. This article provides a comprehensive ethical analysis of three...
Artificial intelligence (AI) in the healthcare sector is attracting attention from researchers and healthcare practitioners. Prior study has been limited in examining this problem from a multidisciplinary perspective, including accounting, business and...
As organizations increasingly leverage Artificial Intelligence (AI) to foster innovation and improve operational performance, the availability of high-quality, well-documented, and easily accessible data has become a decisive factor for success. This paper...
Medical technologies driven by artificial intelligence are swiftly advancing into practical applications for clinical practice. Deep learning algorithms can manage the growing volumes of data generated by wearables, smartphones, and various mobile...
Governments worldwide recognize the increasing threats posed by cyberattacks on critical infrastructure, which encompasses sectors such as energy, healthcare, finance, and transportation. To mitigate risks and enhance resilience, national cybersecurity...
Brainy is a recently made cross-stage machine learning library written in Java. It characterizes interfaces for regular kinds of AI errands, what's more, executions of the most well-known calculations. Smart uses a complex numerical framework which is...
Efficient order fulfillment is a critical component of modern supply chain management, directly influencing customer satisfaction, operational efficiency, and business profitability. Oracle NetSuite Warehouse Management System (WMS) emerges as a robust...
A recommendation system that is assisted by type-2 fuzzy ontologies is shown in the article. By tracking the user's vitals and suggesting meals and medications, the system keeps tabs on the user's health. Data extraction for patient risk variables is the...
The developed method can aid in segmenting all knee tissues with a higher accuracy. Musculoskeletal imaging can be more effective for using a deep learning approach. The use of image guidance and robotic systems in spine surgery. The authors described the...
Artificial intelligence (AI) is an emerging technical field that employs computer technology to investigate and formulate the theories, methodologies, techniques, and application systems for the replication, enhancement, and augmentation of human...
The intricacy and growth of data in healthcare indicate that artificial intelligence (AI) will be progressively used in this domain. Various forms of AI are now utilised by healthcare payers, providers, and life sciences organisations. The primary types of...
As data ecosystems become increasingly complex, organizations are compelled to implement strong data governance mechanisms to safeguard data accuracy, confidentiality, and regulatory adherence. Within this landscape, metadata management serves as a...
Estimates put the amount of new healthcare data at 2,314,000 gigabytes in 2022, according to the global trend towards digitising health care systems. Better reasoning and more effective utilisation of obtained data are continuous goals of intelligent system...
Blockchain technology is rapidly gaining prominence globally. Blockchain, characterized by its decentralized, transparent, and secure attributes, has emerged as a transformative technology for the forthcoming generation of various industrial applications....
This paper presents a comprehensive AI-driven framework tailored for intelligent threat detection and response within critical infrastructure systems, including but not limited to energy grids, water treatment facilities, and transportation networks. With...
Efficient warehouse layout design is pivotal in ensuring streamlined operations, cost reduction, and enhanced order fulfillment processes. This study investigates various techniques for optimizing warehouse layouts, including slotting optimization,...
AI is greatly useful in the field of education. In this article, we will take a look back at how AI has been integrated into education in the modern digital age. This review paper used a narrative synthesis and a systematic literature review as its...
Following the advent of AI and analytics, the healthcare industry quickly became one of the most anticipated use cases for the new technology. By integrating analytics with AI, medical practice and healthcare are undergoing remarkable transformations, made...
For medical research, medical imaging is a visual technology and process for gen- erating images of tissues inside the human body in a non-invasive manner. It has two independent domains: medical imaging technology (MIT) and medical image processing...
Artificial intelligence (AI) has been increasingly applied in various fields of science and technology. In line with the current research, medicine involves an increasing number of artificial intelligence technologies. The introduction of rapid AI can lead...
INTRODUCTION International Journal of Acta Informatica (IJAI) is a fully open-access, international journal that provides academia...
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