Artificial intelligence in health care refers to the use of computational systems and algorithms to perform tasks that traditionally require human intelligence, such as diagnosis, treatment planning, patient monitoring, and health education. Research published in Preventive Medicine And Care has explored the interse…
Artificial intelligence in health care refers to the use of computational systems and algorithms to perform tasks that traditionally require human intelligence, such as diagnosis, treatment planning, patient monitoring, and health education. Research published in Preventive Medicine And Care has explored the intersection of AI-driven health technologies with psychological aspects of patient care, particularly examining how digital health interventions might address existential concerns that arise in medical contexts. One study investigated whether increased familiarity with mortality-related concepts, potentially facilitated through educational technologies, could reduce death anxiety among individuals—a finding relevant to the design of AI-powered patient communication tools and end-of-life care applications. This work suggests that as artificial intelligence becomes more integrated into preventive medicine and patient education, understanding its psychological impact remains essential. The topic matters because AI systems are increasingly deployed not only for clinical decision support and disease prediction but also for delivering sensitive health information and supporting patients through difficult diagnoses. Ensuring these technologies account for human emotional responses and psychological well-being is critical to their effective and ethical implementation in preventive care settings.
1 peer-reviewed article, ranked by relevance. Each links to its DOI.
The 1 article above has been cited 2 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Oct 2025.
A sample of recent works citing this journal's research on Artificial Intelligence in Health Care, linking to each citing work.