Artificial Intelligence-based Voice Assessment of Children and Adults Respiratory Conditions
- Conditions
- Airway DiseaseCancer of Head and NeckRadiotherapyBronchiolitisAsthma
- Interventions
- Device: Wevosys acoustic analysis
- Registration Number
- NCT06630078
- Brief Summary
Acute and Chronic respiratory conditions represent a leading cause of death and morbidity in children and adults worldwide. The diagnosis of bronchiolitis and asthmatic exacerbations is based on clinical, and mostly subjective, clinical parameters with moderately accurate prognostic role. Patients undergoing neck radiotherapy need invasive assessments of larynx. A simple biomarker like Voice may facilitate the management of these conditions. Recent studies showed that VOICE may be used as a good and easy biomarker to diagnose and monitor several respiratory and non-respiratory conditions. A prospective study aimed to collected VOICE and other clinical data in adults and children with common acute and chronic respiratory conditions at high impact on healthcare systems will be performed. VOICE-omic data will be linked with clinical findings generating data integration, using artificial intelligence technology to develop a Decision Support Systems to provide the basis for non-invasive personalised early recognition, diagnosis, monitoring and prognosis of patients with these conditions.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- NOT_YET_RECRUITING
- Sex
- All
- Target Recruitment
- 200
Not provided
Not provided
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Case group Wevosys acoustic analysis children with bronchiolits, controlled asthma and asthmatic re-exacerbations and adults with primary upper aero-digestive tract affections or secondary to radiotherapy
- Primary Outcome Measures
Name Time Method Acoustic parameters of voice signal in children enrollment; 24 and 48 hours post-therapy; 24 months NHR (decibel) that is an assessment of the ratio between periodic components and non periodic component comprising a segment of voiced speech.
Acoustic parameters of voice signal in adults affected by acute or chronic upper aerodigestive diseases enrollment; 24 and 48 hours post-therapy; 24 months NHR (decibel) that is an assessment of the ratio between periodic components and non periodic component comprising a segment of voiced speech.
Pediatric Dyspnea Scale enrollment; 24 hours and 48 hours post-therapy; 24 months The child is asked to answer the question "How much difficulty are you having breathing?" by choosing the column that best corresponds to his or her perceived symptoms (range from 0 not trouble at all to 7 very much trouble)
Voice Handicap Index score in adults affected by acute or chronic upper aerodigestive diseases enrollment; 24 hours and 48 hours after therapy; 24 months The Voice Handicap Index is self-assessment instrument useful for quantifying the biopsychosocial impact of a voice disorder. It consists of 30 items. The total score ranges from 0 (no impact of dysphonia) to 120 (the worst possibile impact of dysphonia)
Acoustic parameters of voice signal in adults underwent radiotherapy enrollment; on the 30th day of radiotherapy NHR (decibel) that is an assessment of the ratio between periodic components and non periodic component comprising a segment of voiced speech.
Voice Handicap Index score in adults who underwent radiotherapy enrollment; on the 30th day of radiotherapy The Voice Handicap Index is self-assessment instrument useful for quantifying the biopsychosocial impact of a voice disorder. It consists of 30 items. The total score ranges from 0 (no impact of dysphonia) to 120 (the worst possibile impact of dysphonia)
Dysphagia Handicap Index in adults who underwent radiotherapy enrollmentt; on the 30th day of radiotherapy The Dysphagia Handicap Index is a 25-item measure of Health-related Quality of Life for patients with oropharyngeal dysphagia of heterogeneous etiologies. The total score ranges from 0 to 100, with lower scores indicating better swallowing-related QoL.
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (2)
Jacopo Galli
🇮🇹Roma, Italy
Maria Raffaella Marchese
🇮🇹Roma, Italy