Education Research: Bridging the Artificial Intelligence Training Gap: Evidence from a National Survey of Italian Neurology Residents.

Background and Objectives: As artificial intelligence (AI) rapidly becomes an integral tool in clinical neurology, future clinicians will need to master its application in patient care. While previous studies focused primarily on medical students' perspectives, our survey, addressed to Italian neurology residents, aims to assess their familiarity with AI tools and identify educational needs of learners close to clinical practice and care delivery. Methods: A cross-sectional, web-based survey designed by the University of Milan was distributed nationwide to neurology residents from May 22 through July 30, 2025. The questionnaire included items on demographics, self-assessed AI knowledge, exposure to AI training, clinical applications, perceived challenges, and attitudes toward the impact of AI on neurology practice. Descriptive statistics and association analyses were performed. Results: A total of 173 residents (12.7%) completed the survey, with 37% affiliated with research hospitals. Although AI is frequently used in practice, with 40.7% using AI tools at least on a weekly basis, only 30.7% rated their knowledge as "good" or higher. Paradoxically, most residents (79.2%) reported no curriculum-integrated AI education, which was instead significantly associated with geographical background (Χ Discussion: Despite the limited number of participants, our survey provides a representative snapshot of AI knowledge, use, and attitudes among neurology residents in Italy, a critical country in the digital health care transformation, contributing important evidence for international shared recommendations on AI educational needs to support future clinical practice. Although AI tools are widely used, most residents had only basic knowledge and limited formal training, prompting calls for more structured, learner-centered educational modules to be integrated into neurology curricula.