Clinical trial NCT04208360: Clinical Evaluation of AI-aided Auscultation With Automatic Classification of Respiratory System Sounds
Official title: Clinical Evaluation of AI-aided Auscultation With Automatic Classification of Respiratory System Sounds
Study type: OBSERVATIONAL
Overall status: UNKNOWN
Conditions: Wheezing
Rhonchi
Crackle
Lung Sound
Lead sponsor: StethoMe
Sponsor class: INDUSTRY
First posted: 2019-12-23
Enrollment: 84
Sex: ALL
Minimum age (years): 3
Maximum age (years): 18
Standard ages: CHILD
ADULT
Accepts healthy volunteers: no
Observational model: CASE_ONLY
Time perspective: PROSPECTIVE
Sampling method: PROBABILITY_SAMPLE
Study population: It is planned to enroll 84 patients into the trial in three trial centers that will be participating in the study. Each center should recruit approximately 33% of study recordings (25-30 patients).

Brief summary: In the present trial, the StethoMe electronic stethoscope will be used for pulmonary auscultation and recording of lung sounds in the pediatric study population.

Detailed description: Multicenter, international - 2 EU sites (max. 1 in Poland) and a single US site.

Trial centers and investigators will be identified and selected based on their clinical and research experience.

The trial objective is to assess whether use of the StethoMe AI lung sounds analysis software provides clinical benefit by improving the identification of abnormal lung sounds in the categories of wheezes, rhonchi, fine crackles and coarse as compared to pulmonary auscultation by experienced physicians (general practitioners (GPs) and pulmonologists).

The recordings will be used to form a gold standard database of lung sounds as evaluated by an expert, independent panel according to the study protocol. The gold standard database will include approximately equal representation of wheezes, rhonchi, fine crackles and coarse crackles. Moreover, the database will also include recordings without any of the previous descripted pathological sounds. The results of these two analyses, by traditional physician listening and by the StethoMe AI software application, will be assessed for sensitivity and specificity to the gold standard database in detection of the four lung sounds and recordings without defined pathological sounds. The StethoMe AI will be considered to provide clinical benefit if it demonstrates statistically better sensitivity or specificity on any of the four lung sounds as compared to the traditional physician auscultation, together with F1 score analysis.

Eligibility criteria: Inclusion Criteria:

* Children between 3 months and 18 years old (inclusive) admitted and hospitalized in the pulmonary disease ward (PL and EU).
* Children between 3 months and 18 years old (inclusive) admitted and hospitalized in the pulmonary disease ward or treated in an outpatient clinic (US).
* Informed consent of parents or caregivers, according to local regulations.

Exclusion Criteria:

* Skin/soft tissue disease or local infection at the site of pulmonary auscultation or any other contraindication for the pulmonary auscultation.
* Any concurrent disease or condition that, in the opinion of the investigator, would make the patient unsuitable for participation in the project.

Primary outcomes:
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
measure: Collecting pulmonary auscultation recordings
timeFrame: 24 hours
Secondary outcomes:
Other outcomes:
Locations:
Study officials:
References: