Feasibility of AI-based Classification of Normal, Wheeze and Crackle Sounds From Stethoscope in Clinical Settings

Innova Smart Technologies

Status: Completed

Conditions: Lung; Respiratory

Treatments: Device: Artificial Intelligence Algorithm

Study type: Interventional

Funder types: Other

Identifiers

NCT05268263

Pulmo AI LRH

Details and patient eligibility

About

Assessing the feasibility and testing the accuracy of the developed artificial intelligence algorithms for detection of wheezes and crackles in patients with lung pathologies in clinical settings on unseen local patient data acquired through three digital stethoscopes.

Enrollment: 60 patients

Sex: All

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Ages all
• Written consent provided

Exclusion criteria

• Subject condition unstable
• Chest wall deformity or wounds in adhesive application areas
• Written consent not provided

Trial design

Primary purpose: Diagnostic

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)