C-shaped canal configuration is a complex anatomical variation most commonly in mandibular second molars. It is characterized by fused roots and a continuous or semicircular canal system with fins, webs, and interconnections that complicate cleaning, shaping, and obturation. The prevalence of C-shaped canals varies significantly among different populations, with higher incidence reported in Asian groups encountered and frequent bilateral occurrence when present unilaterally. Fan’s classification provides a standardized method to categorize C-shaped canal morphology. Successful management requires modification of conventional endodontic techniques and the use of thermoplastic obturation methods to achieve three-dimensional sealing. This case report describes the nonsurgical management of bilateral continuous C-shaped canals (Fan’s C1 configuration) in mandibular second molars of a 24-year-old male patient using controlled rotary instrumentation up to size 25/.06 followed by single cone obturation technique.

Background: Artificial intelligence (AI) is increasingly being integrated into healthcare systems, including dentistry, where it has applications in diagnosis, treatment planning, digital imaging, and patient communication. Public understanding of AI technologies may influence future adoption of digital healthcare systems; however, awareness of AI applications in oral healthcare among community populations remains inadequately explored. Aim: To assess digital literacy and awareness regarding artificial intelligence technologies in oral healthcare among participants attending a community oral health screening setting. Materials and Methods: A cross-sectional questionnaire-based survey was conducted among 250 participants attending a community oral health screening setting. A structured and validated questionnaire assessed awareness of artificial intelligence, familiarity with AI applications in healthcare and dentistry, and sources of digital health information. Associations between demographic variables and AI awareness were analyzed using Chi-square tests. Statistical significance was set at p < 0.05. Results: Awareness regarding artificial intelligence technologies varied among participants. Educational status demonstrated a significant association with AI awareness (p = 0.021), with participants having higher educational attainment exhibiting greater familiarity with AI applications in healthcare. Participants with greater exposure to digital technologies showed improved awareness regarding AI-based healthcare systems. No statistically significant association was observed between age group and AI awareness (p = 0.084). Conclusion: Educational status and digital literacy appear to influence community awareness regarding artificial intelligence technologies in oral healthcare. Improving public familiarity with digital healthcare systems may support future integration of AI-assisted technologies into oral healthcare delivery and patient communication.