2025/10/16 by Ahrendt, Angela, Gupta, Rajendra Pratap
Computer Science · Medicine · Psychology · #Artificial Intelligence in Healthcare and Education #Digital Mental Health Interventions #Machine Learning in Healthcare #artificial intelligence (AI) #digital health technologies #global standards
paper · doi:10.25929/cw2d-6d60
openalex publication_date 2025/10/16 · openalex created_date 2025/11/07 · openalex updated_date 2026/07/01
As societies around the world are grappling with the effects of aging populations, rising rates of chronic diseases, and overstretched health systems, the deployment of artificial intelligence (AI) in healthcare has emerged as both the beacon of hope but also as subject of close scrutiny. The promise of AI-powered digital health technologies to transform care delivery, enhance diagnostic precision, and improve outcomes is compelling, particularly in a context where progressive neurological disorders, cardiovascular diseases and cancer are expected to rise in prevalence. Yet, this transformation is unfolding against a backdrop of the need for a rigorous regulatory oversight, ethical deliberation, and a determined push to set global standards for responsible innovation.