Health Condition 1: K029- Dental caries, unspecified
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: • Medically healthy children, ASA one or two with no psychiatric or neurological impairments. • Aged seven to thirteen years, suitable for emotional response and dental anxiety assessment. • Presenting with grossly decayed teeth requiring extraction under local anesthesia. • Written informed consent from parent/guardian and child assent, as appropriate. • Proficiency in a suitable language (example Hindi) for effective communication. • Willingness to be video capture in real time during the dental tooth extraction for facial emotion analysis.
Exclusion criteria
Exclusion criteria: • Children with known history of developmental delays, autism spectrum disorder, or other neurological or psychiatric conditions affecting facial expressions or behavior. • History of known facial trauma, surgery, or congenital anomalies affecting the face • Children undergoing procedures with sedation, general anesthesia, or pre-medication that may alter emotional expression or behavior. • Children attending emergency or urgent dental care, where anxiety levels may be atypically high and not representative of routine visits. • Uncooperative behavior preventing adequate video capture of facial expressions.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| 1.To design and develop an open-source Swift-based app capable of real-time facial emotion detection and classification using a pre-trained machine learning model. 2.To assess the clinical applicability, enabling real-time usability of tool during treatment in pediatric dental settings. Timepoint: five seconds after local anaesthesia | — |
Secondary
| Measure | Time frame |
|---|---|
| To validate the systemâ??s performance by comparing detected emotional states with traditional behavioural assessment tools (Venham Clinical Anxiety Scale & Visual Facial Anxiety Scale).Timepoint: five seconds after local anaesthesia | — |
Countries
India
Contacts
University College of Medical Sciences