Artificial Intelligence (AI) has emerged as a transformative technology in the healthcare sector, offering significant opportunities to improve medical services, research, and patient care. AI-based technologies such as machine learning, deep learning, and...
This paper discusses and analyzes the transformative role of artificial intelligence in fraud detection within healthcare systems, emphasizing a data-driven approach. The integration of AI in fraud detection not only enhances accuracy but also minimizes...
Applications of artificial intelligence (AI) have revolutionised healthcare. This study conducts a comprehensive literature review to elucidate the role of AI in healthcare, concentrating on the following key areas: (i) medical imaging and diagnostics, (ii)...
Artificial intelligence has rapidly transformed many sectors, including healthcare and medicine. Among recent developments, large language models such as ChatGPT have gained significant attention for their ability to generate human-like responses and assist...
Healthcare is one of the most data-intensive sectors, with patient records, clinical trials, public health surveillance, and research generating vast amounts of information that directly impact patient safety, clinical decision-making, and health policy....
The integration of technology into healthcare has revolutionized patient care, bringing forth innovations that enhance diagnostic accuracy, treatment efficacy, and operational efficiency. As medical software systems become increasingly integral to...
Healthcare organisations are seeing rapid administrative and clinical workflow transformations due to the adoption of artificial intelligence (AI). This update exemplifies how AI is changing many different industries, most notably medical processes...
Artificial Intelligence (AI) has the potential to greatly transform healthcare by enhancing efficiency, precision, and patient results in several medical fields. AI systems has the ability to consistently acquire knowledge from fresh data and feedback,...
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 global healthcare systems encounter difficulties including rising prices, restricted access, and increasing demand for personalised treatment, artificial intelligence (AI) is emerging as a pivotal agent of transformation. This assessment is driven by the...
As economic conditions improve and living standards rise, individuals' focus on health is steadily intensifying. They are starting to rely on machines, anticipating that artificial intelligence (AI) will create a more humanised medical environment and offer...
Zero Trust Security (ZTS) has emerged as a critical cybersecurity framework for protecting sensitive patient data in healthcare networks. The Zero Trust (ZT) model challenges traditional perimeter-based security, assuming that no user, device, or network...
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...
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...
The deployment of artificial intelligence in healthcare settings necessitates a fundamental shift toward human-centered design principles that prioritize the needs, values, and circumstances of end-users and affected communities. This article examines the...
Disaster recovery is a critical aspect of healthcare information technology, ensuring the continuity of patient care and data integrity in the face of cyber threats, natural disasters, and system failures. The integration of hybrid cloud solutions has...
The multidisciplinary subject of quantum computing has recently grown and attracted a lot of attention from academics and businesses alike because of the novel ways it can handle data, which opens the door to computational capabilities that were previously...
The utilization of Artificial Intelligence (AI) has proliferated across several industries within healthcare. Healthcare organizations of all sizes, kinds, and specialties are increasingly interested in the evolution of artificial intelligence and its role...
In recent years, AI's impact has grown substantially, particularly in the medical industry. Its impact has been so far-reaching that it intends to establish itself as a cornerstone of the healthcare system of the future. We searched the PubMed database...
The rapid digitalization of healthcare has led to the widespread adoption of Cloud-Based Health Information Systems (CHIS), offering enhanced data accessibility, interoperability, and operational efficiency. These systems facilitate real-time access to...
The integration of technology in healthcare has revolutionized patient care and operational efficiency, but it also introduces significant risks associated with medical software. Effective risk management is essential in the quality assurance (QA) process...
Artificial Intelligence (AI) is rapidly transforming modern healthcare, biomedical research, and pharmaceutical development by enabling the analysis of large and complex datasets. AI technologies, including machine learning (ML), natural language processing...
The outbreak of the COVID-19 pandemic is unarguably the biggest catastrophe of the 21st century, probably the most significant global crisis after the second world war. The rapid spreading capability of the virus has compelled the world population to...
This paper presents a cybersecurity-aware, risk-based quality assurance (QA) methodology for healthcare software platforms. Building on the AI and IoT-enabled monitoring system introduced by Kothamali et al. [1], this study introduces a QA framework that...
The transformative potential of artificial intelligence in healthcare has generated substantial enthusiasm among researchers, clinicians, and policymakers. AI applications in diagnosis, treatment, monitoring, and research promise significant benefits for...
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