Preetha Jackson

Papers

Total Citations

125

H-Index

About

Preetha Jackson is a leading voice at the intersection of artificial intelligence and medical education, with her research primarily focused on how emerging technologies are reshaping clinical training and student preparedness. Her most influential work, "Artificial intelligence in medical education - perception among medical students" (2024), has garnered 118 citations, establishing her as a key figure in understanding the human factors behind AI adoption in healthcare. In this landmark study, Jackson systematically evaluated medical students' perceptions of AI's role in medicine—from robotic surgery to image analysis—highlighting a critical gap between technological advancement and curriculum design. Her findings directly support the World Medical Association's call for integrating AI education into medical training, offering actionable insights for educators and policymakers. Jackson's research is notable for bridging technical innovation with pedagogical practice, ensuring that the next generation of physicians is not only aware of AI's potential but also prepared to collaborate with intelligent systems. Her work continues to influence how medical schools worldwide approach the challenge of training AI-literate doctors.