Shaping the Future of Healthcare: Ethical Clinical Challenges and Pathways to Trustworthy AI

Journal of Clinical Medicine, Год журнала: 2025, Номер 14(5), С. 1605 - 1605

Опубликована: Фев. 27, 2025

Background/Objectives: Artificial intelligence (AI) is transforming healthcare, enabling advances in diagnostics, treatment optimization, and patient care. Yet, its integration raises ethical, regulatory, societal challenges. Key concerns include data privacy risks, algorithmic bias, regulatory gaps that struggle to keep pace with AI advancements. This study aims synthesize a multidisciplinary framework for trustworthy focusing on transparency, accountability, fairness, sustainability, global collaboration. It moves beyond high-level ethical discussions provide actionable strategies implementing clinical contexts. Methods: A structured literature review was conducted using PubMed, Scopus, Web of Science. Studies were selected based relevance ethics, governance, policy prioritizing peer-reviewed articles, analyses, case studies, guidelines from authoritative sources published within the last decade. The conceptual approach integrates perspectives clinicians, ethicists, policymakers, technologists, offering holistic “ecosystem” view AI. No trials or patient-level interventions conducted. Results: analysis identifies key current governance introduces Regulatory Genome—an adaptive oversight aligned trends Sustainable Development Goals. quantifiable trustworthiness metrics, comparative categories applications, bias mitigation strategies. Additionally, it presents interdisciplinary recommendations aligning deployment environmental sustainability goals. emphasizes measurable standards, multi-stakeholder engagement strategies, partnerships ensure future innovations meet practical healthcare needs. Conclusions: Trustworthy requires more than technical advancements—it demands robust safeguards, proactive regulation, continuous By adopting recommended roadmap, stakeholders can foster responsible innovation, improve outcomes, maintain public trust AI-driven healthcare.

Язык: Английский

A Digital Transformation Framework for U.S. E-Commerce Supply Chains

International Journal of Scientific Research in Computer Science Engineering and Information Technology, Год журнала: 2025, Номер 11(1), С. 1670 - 1701

Опубликована: Фев. 7, 2025

The rapid advancement of digital technologies has transformed industries worldwide, with U.S. e-commerce supply chains being no exception. This concept paper presents a comprehensive framework for transformation within chains, aiming to enhance efficiency, resilience, and scalability in an increasingly competitive market. outlines the integration cutting-edge technologies, including artificial intelligence (AI), blockchain, Internet Things (IoT), big data analytics, optimize key chain operations such as inventory management, logistics, demand forecasting, customer service. identifies critical challenges face, fragmented systems, inefficiencies real-time decision-making, vulnerabilities external disruptions. To address these challenges, proposes phased approach transformation, prioritizing automation, integration, analytics. It emphasizes importance adopting cloud-based solutions enhanced collaboration between suppliers, distributors, retailers. In addition technological solutions, highlights role human capital driving successful calling upskilling reskilling initiatives prepare workforce data-driven technology-enabled environment. also considers regulatory cybersecurity aspects offering strategies ensuring compliance protecting sensitive from cyber threats. By implementing this framework, businesses can achieve higher levels operational reduced costs, improved satisfaction. serves roadmap companies navigate evolving landscape, ultimately positioning sustained growth advantage global

Язык: Английский

AI-Driven Continuous Integration

Advances in public policy and administration (APPA) book series, Год журнала: 2024, Номер unknown, С. 29 - 44

Опубликована: Дек. 5, 2024

The integration of AI-driven solutions within Continuous Integration and Delivery (CI/CD) pipelines has transformed software development practices, offering enhanced automation, efficiency, scalability. This paper explores how AI-powered CI/CD can significantly boost developer productivity, particularly in the context blue-green infrastructure deployments sustainable digital transformation initiatives. By automating code testing, deployment, monitoring, decision-making processes, AI streamlines cycles, minimizes errors, ensures faster release times. fusion deployment strategies also aids maintaining uninterrupted service, reducing risk, optimizing resource allocation for IT infrastructure. study emphasizes organizations leverage to accelerate innovation while aligning with sustainability goals, ensuring a more efficient, reliable, environmentally-conscious journey.

Язык: Английский