The adoption of Artificial Intelligence (AI) in the healthcare service industry presents numerous ethical challenges, yet current frameworks often fail to offer a comprehensive, empirical understanding of the multidimensional factors influencing ethical AI integration. Addressing...
Open access
Research Article10.9734/ajmah/2025/v23i51228
This study conducts a thorough examination of the research stream focusing on AI risks in healthcare, aiming to explore the distinct genres within this domain. A selection criterion was employed to carefully analyze 39 articles to identify three primary genres of AI risks prevale...
Open access
Research Article10.9734/ajmah/2023/v21i10903
The integration of Machine Learning (ML) into healthcare has brought transformative potential across clinical decision-making, diagnostics, imaging, and personalized treatment. This review presents a comprehensive synthesis of recent advances in ML applications within healthcare,...
Open access
Research Article10.9734/ajmah/2025/v23i121334
The integration of Artificial Intelligence (AI) into epidemiological research and practice is reshaping the landscape of public health decision-making, disease surveillance, and predictive modeling. This study provides a comprehensive investigation into how AI technologies are be...
Open access
Research Article10.9734/ajmah/2025/v23i61246