The complex anatomy of the paranasal sinuses and skull base presents a steep learning curve for junior clinicians in otolaryngology. This prospective, randomized controlled trial aims to evaluate the effectiveness of a novel, responsive web-based sinus CT scan interpretation training system compared to traditional educational methods. The study will enroll 36 medical trainees and junior resident physicians with no prior specialized training in otolaryngology imaging.

Following a standardized baseline video lecture, participants will be randomized (1:1) into two groups for a one-week rotation period. The intervention group will utilize an interactive, cross-platform web system featuring multi-planar correlations, the CLOSE mnemonic guided reading, and case-based self-assessments. The control group will study using standard digitized text-and-image guidelines and clinical consensus documents. The primary outcome is the objective CT interpretation score, which evaluates the accuracy of identifying anatomical variations and pathological grading (e.g., Lund-Mackay score, osteitis grading) across 10 anonymized clinical cases. Secondary outcomes include interpretation time, diagnostic confidence, and system usability. The findings of this study will provide valuable evidence on whether interactive digital tools can effectively accelerate the learning curve and improve diagnostic accuracy in specialized medical imaging education.

Inclusion Criteria:

• Medical students currently in their clinical clerkship or internship phase, or junior physicians currently undergoing standardized residency training;
• No prior systematic training in specialized otolaryngology-head and neck surgery (ORL-HNS) imaging;
• Voluntary participation in the study with a signed informed consent form.

Exclusion Criteria:

• Inability to access a basic smartphone or computer required for the digital training system;
• Anticipated inability to complete the intervention, and assessment period (e.g., due to planned prolonged leave of absence).

Individual participant data (IPD) will not be shared publicly. Due to the specific nature of the study population (a small cohort of clinical rotators in a single department) and the relatively small sample size, sharing raw IPD poses a significant risk of indirect re-identification. Furthermore, the informed consent obtained from the participants strictly limits data access to the immediate research team to protect their academic and professional privacy. Aggregate data and statistical analyses will be reported in published manuscripts.