Knowledge, Perception, and Willingness to Use Artificial Intelligence for Personalized Health Recommendations Among Undergraduate Health Students: A Cross-Sectional Study
A new cross-sectional study surveyed undergraduate health students to gauge their knowledge, perceptions, and willingness to use artificial intelligence for personalized health recommendations. Findings indicate varying levels of AI literacy among students, with many expressing cautious optimism about AI’s potential to tailor health guidance while highlighting concerns about accuracy, data privacy, and the clinician’s role.
Participants with higher AI knowledge tended to report greater willingness to rely on AI-driven recommendations, provided robust evidence and clear accountability. The study also identified notable apprehensions about bias, patient safety, and the ethical implications of algorithmic decision-making in healthcare settings.
Researchers suggest targeted education on AI applications, ethics, and data governance could bolster informed adoption among future health professionals, ensuring AI-enhanced personalization aligns with clinical standards and patient trust.
