High-quality training and continuous education for ophthalmologists, coupled with effective patient engagement, are fundamental to combating preventable vision loss and advancing eye care globally. Ophthalmology training and education must be technologically progressive and adaptive to equip practitioners with the expertise to leverage modern diagnostics and treatments. Crucially, eyecare professionals require ongoing access to the latest technological advancements and methodologies, while trainees need curricula that integrate technical proficiency with adaptive learning skills essential for a future healthcare landscape.
This Research Topic focuses on the application of cutting-edge technologies in ophthalmology training and education. Our focus spans two key areas: the training of professionals and the education of patients. Technologies of interest include: artificial intelligence (AI), large language models, big data analytics, internet-based platforms, telemedicine, tele-ophthalmology, and virtual/augmented reality (VR/AR).
We welcome articles addressing, but not limited to, the following themes: ● Postgraduate & Continuing Education: Integration of AI, simulation, and tele-mentoring in residency, fellowship, and lifelong learning curricula ● Standardized Training Enhancement: Use of VR/AR surgical simulators, AI-powered case libraries, and big data for competency assessment in structured residency and subspecialty fellowship programs ● Digital Learning Tools: Development and validation of online modules, AI-driven adaptive learning platforms, mobile applications, and virtual patient encounters for ophthalmologist training ● Remote & Collaborative Learning: Tele-ophthalmology for clinical mentoring, virtual grand rounds, and remote skill evaluation; collaborative internet-based learning communities ● Patient & Community Education: Leveraging AI chatbots, interactive mobile apps, VR experiences, and telehealth platforms to improve patient understanding of ocular diseases, treatments, and prevention ● Curriculum Innovation & Validation: Designing, implementing, and accrediting technology-enhanced curricula; assessing competencies gained through AI tools, simulations, and big data analysis ● Interprofessional Tech-Enabled Training: Utilizing digital platforms and simulations for collaborative training involving ophthalmologists, optometrists, ophthalmic technicians, and nurses ● Research in Tech-Enhanced Education: Qualitative and quantitative studies evaluating the efficacy, accessibility, and outcomes of AI, VR/AR, telemedicine, and digital tools in ophthalmic education
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Case Report
Clinical Trial
Community Case Study
Curriculum, Instruction, and Pedagogy
Data Report
Editorial
FAIR² Data
General Commentary
Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.
Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
