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

NACompletedINTERVENTIONAL
Enrollment

60

Participants

Timeline

Start Date

January 6, 2022

Primary Completion Date

February 22, 2022

Study Completion Date

February 22, 2022

Conditions
RespiratoryLung
Interventions
DEVICE

Artificial Intelligence Algorithm

The enrolled population will include patients with a history of lung pathologies. Artificial intelligence-based models are developed for classification of wheezes, crackles and normal lung sounds. These AI models will be tested and assessed on local lung sounds clinical data.

Trial Locations (1)

25000

Lady Reading Hospital, Pakistan, Peshawar

All Listed Sponsors
collaborator

Lady Reading Hospital, Pakistan

OTHER_GOV

collaborator

NOABIO LLC

UNKNOWN

lead

Innova Smart Technologies (Pvt.) Ltd

OTHER

NCT05268263 - Feasibility of AI-based Classification of Normal, Wheeze and Crackle Sounds From Stethoscope in Clinical Settings | Biotech Hunter | Biotech Hunter