This observational study aims to assess the performance of the software called ausculto™. ausculto™ is a collection of computer algorithms that intend to analyse heart sounds recorded from the built-in microphone of a smartphone for abnormal sounds. Participants will have their heart sounds recorded during their regular clinic appointment after consenting to participate in this study. Researchers will manually annotate the recorded heart sounds to create a database for use in future training and testing of artificial intelligence (AI) intended for medical uses.
Study Type
OBSERVATIONAL
Enrollment
577
Collection of lightweight computer algorithms called ausculto™ that is designed to perform real-time heart sound analysis to detect heart murmur.
Queen Mary Hospital
Hong Kong, Hong Kong SAR, China
Sensitivity of ausculto™ Using Auscultation Paired with Echocardiography as Ground Truth
Sensitivity is defined as the percentage of true positives out of all positive cases from the ground truth. Cardiologist electronic stethoscope heart sound recording annotations paired with echocardiography diagnosis will be used as the ground truth. Heart sound recordings from electronic stethoscope will be rated by two independent cardiologists for presence or absence of murmur, with a third cardiologist consulted in case of disagreement.
Time frame: Day 0
Specificity of ausculto™ Using Auscultation Paired with Echocardiography as Ground Truth
Specificity is defined as the percentage of true negatives out of all negative cases from the ground truth. Cardiologist electronic stethoscope heart sound recording annotations paired with echocardiography diagnosis will be used as the ground truth. Heart sound recordings from electronic stethoscope will be rated by two independent cardiologists for presence or absence of murmur, with a third cardiologist consulted in case of disagreement.
Time frame: Day 0
Sensitivity of ausculto™ Using Auscultation as Ground Truth
Sensitivity is defined as the percentage of true positives out of all positive cases from the ground truth. Cardiologist electronic stethoscope heart sound recording annotations will be used as the ground truth. Heart sound recordings from electronic stethoscope will be rated by two independent cardiologists for presence or absence of murmur, with a third cardiologist consulted in case of disagreement.
Time frame: Day 0
Specificity of ausculto™ Using Auscultation as Ground Truth
Specificity is defined as the percentage of true negatives out of all negative cases from the ground truth. Cardiologist electronic stethoscope heart sound recording annotations will be used as the ground truth. Heart sound recordings from electronic stethoscope will be rated by two independent cardiologists for presence or absence of murmur, with a third cardiologist consulted in case of disagreement.
Time frame: Day 0
Sensitivity of ausculto™ Using Echocardiography as Ground Truth
Sensitivity is defined as the percentage of true positives out of all positive cases from the ground truth. Echocardiography diagnosis will be used as the ground truth.
Time frame: Day 0
Specificity of ausculto™ Using Echocardiography as Ground Truth
Specificity is defined as the percentage of true negatives out of all negative cases from the ground truth. Echocardiography diagnosis will be used as the ground truth.
Time frame: Day 0
Positive Predictive Value of ausculto™ Using Auscultation Paired with Echocardiography as Ground Truth
Positive predictive value is defined as the percentage of true positives out of all positive results from ausculto™. Cardiologist electronic stethoscope heart sound recording annotations paired with echocardiography diagnosis will be used as the ground truth. Heart sound recordings from electronic stethoscope will be rated by two independent cardiologists for presence or absence of murmur, with a third cardiologist consulted in case of disagreement.
Time frame: Day 0
Negative Predictive Value of ausculto™ Using Auscultation Paired with Echocardiography as Ground Truth
Negative predictive value is defined as the percentage of true negatives out of all negative results from ausculto™. Cardiologist electronic stethoscope heart sound recording annotations paired with echocardiography diagnosis will be used as the ground truth. Heart sound recordings from electronic stethoscope will be rated by two independent cardiologists for presence or absence of murmur, with a third cardiologist consulted in case of disagreement.
Time frame: Day 0
Positive Predictive Value of ausculto™ Using Auscultation as Ground Truth
Positive predictive value is defined as the percentage of true positives out of all positive results from ausculto™. Cardiologist electronic stethoscope heart sound recording annotations will be used as the ground truth. Heart sound recordings from electronic stethoscope will be rated by two independent cardiologists for presence or absence of murmur, with a third cardiologist consulted in case of disagreement.
Time frame: Day 0
Negative Predictive Value of ausculto™ Using Auscultation as Ground Truth
Negative predictive value is defined as the percentage of true negatives out of all negative results from ausculto™. Cardiologist electronic stethoscope heart sound recording annotations will be used as the ground truth. Heart sound recordings from electronic stethoscope will be rated by two independent cardiologists for presence or absence of murmur, with a third cardiologist consulted in case of disagreement.
Time frame: Day 0
Positive Predictive Value of ausculto™ Using Echocardiography as Ground Truth
Positive predictive value is defined as the percentage of true positives out of all positive results from ausculto™. Echocardiography diagnosis will be used as the ground truth.
Time frame: Day 0
Negative Predictive Value of ausculto™ Using Echocardiography as Ground Truth
Negative predictive value is defined as the percentage of true negatives out of all negative results from ausculto™. Echocardiography diagnosis will be used as the ground truth.
Time frame: Day 0
Number of Adverse Events Reported by Participants Deemed to be Caused by the Observational Procedures
Time frame: Day 0 to Day 1
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