Aug 2026· American Journal of Public Health· pp.
e1-e9
· 0 citations
Medicine
TL;DR
This work examines current AI applications in public health through the lens of established ethical principles, with particular attention to historically marginalized communities, and proposes concrete strategies, including mandatory equity impact assessments, validation in the communities of intended use, and sustained investment in public health workforce capacity to evaluate AI tools.
The article proposes the PRISM Framework – a comprehensive, five-dimensional, evidence-grounded model comprising Participatory Design and Community Engagement, Responsible and Regulatory Governance Infrastructure, Inclusive and Equitable Representation, Scientific Rigour and Scalable Infrastructure, and Monitoring, Eva...
Dev Roychowdhury· Discover Public Health· 0 citations
This review addresses the primary ethical principles relevant to AI in medicine - including respect for patient autonomy, beneficence, non-maleficence, and justice - alongside key legal frameworks with respect to liability, data protection, regulatory compliance, and algorithmic transparency.
Sebastian Schleidgen, O. Friedrich· European journal of internal...· 0 citations
Artificial Intelligence (AI) has emerged as a transformative technology in the healthcare sector, revolutionizing medical diagnosis, treatment planning, disease prediction, robotic surgery, personalized medicine, and healthcare administration. AI-driven technologies improve clinical efficiency, reduce human error, acce...
Research Author· European Journal of Law, Int...· 0 citations
Funders and implementers should prioritize durable infrastructure, strengthened health information systems, rigorous evidence generation, environmentally responsible deployment, and local stewardship to achieve scalable, equitable, and sustainable AI in global health.
Yuri Quintana, Titus Schleyer, Arriel Benis et al.· JAMIA Journal of the America...· 0 citations
The review found that AI tools—for example, selfreferral chatbots that reduced waiting times and increased treatment uptake—provide expanded 24/7 access, improved clinical efficiency, and potential for individualised personalisation, while Predictive models showed promise for treatment selection and risk stratification...
Shizal Nawaz, Laiba Nawaz, Hasnain Ali et al.· Digital Medicine· 0 citations
