Health Condition 1: A150- Tuberculosis of lung
Conditions
Interventions
Intervention1: Nil: Nil
Intervention2: Nil: Nil
Sponsors
Dr Shipra Anand
Eligibility
Inclusion criteria
Inclusion criteria: Consenting adults who are 18 years of age and older with confirmed pulmonary tuberculosis who are sputum positive or GeneXpert positive. Symptomatic controls are also included who have a suspected respiratory pathology but are tuberculosis negative, covering chronic obstructive pulmonary disease, asthma, pulmonary oedema, lung tumours, interstitial lung disease, lower respiratory tract infection, pleural effusion, and bronchiectasis. Healthy volunteers are also included as baseline controls.
Exclusion criteria
Exclusion criteria: Patients under 18 years of age. Intubated and tracheostomized patients.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Diagnostic accuracy, sensitivity and specificity of the artificial intelligence model in detecting pulmonary tuberculosis using digital recordings of auscultatory breath sounds and vocal resonance patternsTimepoint: At the completion of the study period(i.e. at 6 months after beginning the study) following final data analysis and model evaluation | — |
Secondary
| Measure | Time frame |
|---|---|
| Identification and clinical interpretation of specific key acoustic features that differentiate pulmonary tuberculosis from other lung pathologiesTimepoint: During the model training and feature extraction validation phase;Comparison of the diagnostic performance of the artificial intelligence tool against conventional modalities including clinical examination, sputum analysis & chest imaging Timepoint: At the conclusion of data collection & comparative analysis within the study duration which is at 6 months | — |
Countries
India
Contacts
Public ContactDr Shipra Anand
Department of Pulmonary Medicine, Lok Nayak Hospital, Maulana Azad Medical College
Outcome results
None listed