The use of generative AI tools among individuals with cancer and their caregivers: a cross-sectional study of awareness, attitudes, and experiences

USAGE, AND PERCEPTION OF GENERATIVE AI TOOLS AMONG ONCOLOGY RESIDENTS IN NIGERIA-A CROSS-SECTIONAL STUDY

Caregiver burden and quality of life among family caregivers of patients with cancer in Babylon, Iraq: a cross-sectional study

Introduction: artificial intelligence (AI) is increasingly relevant to clinical practice, but medical students may not receive structured preparation for its safe and ethical use. This study assessed self-reported AI knowledge, perceptions, and educational needs among undergraduate medical students at the Faculty of Me...

Negative Public Attitudes Toward Cancer in Türkiye: Implications for Nurse-Led Education.

This study examined public attitudes toward cancer in Türkiye and identified sociodemographic predictors of negativity, fatalism, and stigma. Understanding these patterns can inform culturally sensitive, nurse-led strategies that promote openness, early screening, and equitable cancer prevention. A descriptive, cross-s...

Artificial intelligence tools in clinical practice, research, and education: An online survey on use and perceptions of child and adolescent psychiatrists in Türkiye

Artificial intelligence tool use is widespread among child and adolescent psychiatrists in Türkiye despite minimal formal training, suggesting a training-and-governance gap.

Sociodemographic differences in health sciences students’ engagement with artificial intelligence: a cross-sectional study

Students’ engagement with AI was multidimensional, with sociodemographic and academic differences varying across specific dimensions, and these findings support structured and equitable AI education across health sciences curricula to strengthen practical skills, knowledge, critical appraisal, and responsible use.

Beyond Technology: Privacy, Spirituality, and Women’s Attitudes Toward Artificial Intelligence in Healthcare

This study examined women’s general attitudes toward artificial intelligence (AI) in healthcare and aimed to identify factors associated with these attitudes, with particular consideration of gynecological and obstetric contexts. The study does not directly assess acceptance of specific AI applications but focuses on g...