Background/Objectives: Many older adults who require long-term care need oral health management. However, access to dental care is limited, and connecting older patients with dental professionals is a future challenge. Therefore, the development of a remote oral health assessment system is required. This study aimed to investigate the usefulness of video-based oral health assessments in older adults residing in facilities. Methods: This study comprised 60 older adults residing in facilities who consented to dental home visit treatment by the Department of Oral Function Management at Showa University Dental Hospital between July 2021 and December 2022. The Oral Health Assessment Tool (OHAT) was used to evaluate the oral health status at the facilities by one dentist. The concordance of the oral health assessments conducted by this dentist at the facilities (OHAT-B) was compared with those conducted by the same dentist (OHAT-V1) and two other dentists (OHAT-V2 and V3) using approximately 1 min video recordings of the oral cavity taken with a mobile electronic device. Results: On the OHAT total score, the intraclass correlation coefficient (ICC [1.1]) for OHAT-B and V1 was 0.931; the ICC (2.1) was 0.889 when compared with V2 and 0.788 when compared with V3. Moreover, the comparison between V2 and V3 showed high agreement, with an ICC (2.1) of 0.750. Conclusions: This study revealed that the oral health assessment of older adults residing in facilities using video recordings of the oral cavity taken with a mobile electronic device may be possible, suggesting the possibility of remote oral health assessment.

Background/Objectives: Previous studies on the digitization of complete dentures with intraoral scanners (IOSs) have reported inconsistent effects of scan path, and whether these effects depend on operator experience remains unclear. This exploratory in vitro study investigated the effects of scan path and operator IOS experience on the trueness of extraoral scanning of complete dentures. Methods: One maxillary and one mandibular complete denture were scanned with a TRIOS 5 IOS using four scan paths: TRIOS denture, TRIOS dentate, rolling, and BOPLM (buccal–occlusal–palatal/lingual–mucosal) methods. Two experienced and two novice dentists repeated each scan path 10 times per arch. Root mean square (RMS) values relative to reference data obtained with a noncontact three-dimensional scanner (FLARE Pro 16M) were analyzed using linear mixed models with operator as a random effect. Results: In the maxilla, the experience group × scan path interaction was significant (p = 0.034): among novice operators, the rolling method yielded smaller RMS values than the BOPLM method (mean difference = −0.0170 mm, p = 0.001), whereas scan paths did not differ among experienced operators (p = 0.114). No significant effects were found in the mandible. Scanning time did not differ among scan paths. Conclusions: Among novice operators, the rolling method showed higher trueness than the BOPLM method for maxillary dentures. The effect of scan path may depend on operator experience; however, this exploratory finding requires confirmation with a larger number of operators.

Background/Objectives: Information and communication technology is increasingly used for remote oral health assessment. However, evidence regarding video-based assessment of denture quality remains limited. This study aimed to evaluate the agreement between video-based and on-site assessments of denture quality using videos recorded with a mobile device and to examine the inter-rater reliability of video-based assessments among dentists. Methods: Participants were 150 older adults who wore dentures and received routine clinical care at three Showa Medical University hospitals between April 2024 and February 2026. Dentist 1 conducted the on-site assessment and recorded intraoral and extraoral videos using a mobile device. Three dentists independently assessed denture quality from the videos using the modified 5-Defects criteria. Agreement was evaluated using linear weighted Cohen’s kappa, exact agreement, and agreement within ±1 point, with Spearman’s correlation coefficient as a supplementary measure. Inter-rater reliability was assessed using an intraclass correlation coefficient based on a two-way mixed-effects model with absolute agreement. Results: The modified 5-Defects total scores showed good agreement between on-site and video-based assessments for both maxillary and mandibular dentures. Inter-rater reliability among the three video evaluators was also high, with single-measure ICC values of 0.82 (95% CI, 0.77–0.86) and 0.78 (95% CI, 0.72–0.83), respectively. Conclusions: Video-based denture quality assessment using standardized videos recorded by a trained dental team showed good agreement with on-site assessment and high inter-rater reliability among dentists. These findings support the potential of this approach for remote denture assessment by dentists.