Postdoctoral Fellow University of Toronto Toronto, ON, Canada
Abstract: Background NXSCOPE is a stethoscope attachment combining AI-driven phonocardiography (PCG) analytics, with patient contexts taken from automated transcription of veterinarian-client conversations. Timely detection of canine cardiac anomalies is paramount, as subtle changes can significantly affect treatment strategies.
Hypothesis/Objectives We hypothesized that NXSCOPE’s integrated approach would produce accurate PCG cardiology reports to serve as a non-invasive initial diagnostic tool for healthy and cardiac-disordered canines.
Animals Twenty client-owned dogs (10 healthy, 10 with diagnosed cardiac conditions) were enrolled from a single veterinary hospital.
Methods During routine exams, NXSCOPE recorded heart sounds and transcribed client-veterinarian dialogues via a built-in microphone, automatically extracting patient profiles (e.g., breed, age) to enhance diagnostic accuracy. PCG data were analyzed for murmurs, arrhythmias, and other acoustic anomalies, and findings were compared with echocardiographic assessments. Key vitals (heart rate, temperature, respiratory rate) were also captured and integrated into automated cardiology reports.
Results PCG findings correlate strongly with echocardiographic results. Murmur and arrhythmia, detection sensitivity are possible and are compared with ECG findings. Clinicians report improved workflow efficiency and diagnostic confidence due to integrated patient data and real-time acoustic analyses.
Conclusions and Clinical Importance NXSCOPE offers a comprehensive, non-invasive tool for canine cardiac evaluation, enhancing diagnostic accuracy by merging patient profile data with PCG analytics. Its potential to streamline veterinary workflows and support earlier interventions may lead to improved outcomes in canine cardiology.
