Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23109, first published .
The Utility of Real-Time Remote Auscultation Using a Bluetooth-Connected Electronic Stethoscope: Open-Label Randomized Controlled Pilot Trial

The Utility of Real-Time Remote Auscultation Using a Bluetooth-Connected Electronic Stethoscope: Open-Label Randomized Controlled Pilot Trial

The Utility of Real-Time Remote Auscultation Using a Bluetooth-Connected Electronic Stethoscope: Open-Label Randomized Controlled Pilot Trial

Journals

  1. Ruan X, Huang H. Pulmonary Image Recognition and Respiratory Feature Analysis Under Neural Network and Genetic Algorithm. Journal of Nanoelectronics and Optoelectronics 2022;17(11):1501 View
  2. Ito T, Hirosawa T, Harada Y, Kakimoto S, Shimizu T. Evaluation of Internet-Connected Real-Time Remote Auscultation: An Open-Label Randomized Controlled Pilot Trial. Journal of Personalized Medicine 2022;12(12):1950 View
  3. Lane J, David K, Ramarao J, Ward K, Raghuraman S, Waheed M, Lau A. Translating primary care to telehealth: analysis of in-person consultations on diabetes and cardiovascular disease. BJGP Open 2023;7(1):BJGPO.2022.0123 View
  4. Fan M, Wang Q, Liu J, Su L, Wang B, Xu H, Li Q, Zhang Z. Real-world evaluation of the Stemoscope electronic tele-auscultation system. BioMedical Engineering OnLine 2022;21(1) View
  5. Lopes D, Coelho L, Silva M. Development of a Collaborative Robotic Platform for Autonomous Auscultation. Applied Sciences 2023;13(3):1604 View
  6. Hirosawa T, Ito T, Harada Y, Ikenoya K, Yokose M, Shimizu T. The utility of phonocardiograms in real-time remote cardiac auscultation using an internet-connected electronic stethoscope: Open-label randomized controlled pilot trial. DIGITAL HEALTH 2023;9 View
  7. Huang D, Huang J, Qiao K, Zhong N, Lu H, Wang W. Deep learning-based lung sound analysis for intelligent stethoscope. Military Medical Research 2023;10(1) View
  8. Ang Y, Aw L, Koh V, Tan R. Characterization and cross-comparison of digital stethoscopes for telehealth remote patient auscultation. Medicine in Novel Technology and Devices 2023;19:100256 View
  9. Takeda K, Kasai H, Hayama N, Saito M, Kawame C, Maruyama K, Suzuki T. Wireless electronic stethoscope's potential for medical education in ward round examination. Respirology 2023;28(10):969 View
  10. Ogawa S, Namino F, Mori T, Sato G, Yamakawa T, Saito S. AI diagnosis of heart sounds differentiated with super StethoScope. Journal of Cardiology 2024;83(4):265 View
  11. Nguyen S, Duong H, Tran H, Nguyen N, Rai R, Pham A. Emergence of telemedicine during COVID-19 pandemic: drawing upon an underrated modality in Vietnam. MedPharmRes 2022;6(3):17 View
  12. Hirosawa T, Sakamoto T, Harada Y, Tokumasu K, Shimizu T. Clinical decision support system using a machine learning model to assist simultaneous cardiopulmonary auscultation: Open-label randomized controlled trial. DIGITAL HEALTH 2024;10 View
  13. Sabry A, I. Dallal Bashi O, Nik Ali N, Mahmood Al Kubaisi Y. Lung disease recognition methods using audio-based analysis with machine learning. Heliyon 2024;10(4):e26218 View
  14. NV S. Optimizing ventilatory support in ARDS: A comprehensive guide for ICU nurses on patient care. IP International Journal of Medical Paediatrics and Oncology 2024;10(1):3 View
  15. Bocian I, Chin A, Rodriguez A, Collins W, Sindher S, Chinthrajah R. Asthma management in the digital age. Frontiers in Allergy 2024;5 View
  16. Roh K, Awosika A, Millis R. Advances in Wearable Stethoscope Technology: Opportunities for the Early Detection and Prevention of Cardiovascular Diseases. Cureus 2024 View
  17. Chan S, Khandaker T, Li Y, Jackson T, Rahimi-Ardabili H, Lau A. Translating primary care to telehealth: analysis of in-person paediatric consultations and role of carers. BJGP Open 2025;9(1):BJGPO.2024.0030 View
  18. Tong K, Waheed M, Jackson T, Sota T, Lau A. Translatability of physical examination to teleconsultation in primary care setting. Journal of Telemedicine and Telecare 2025 View
  19. Karim A, Ryu S, Jeong I. Ensemble learning for biomedical signal classification: a high-accuracy framework using spectrograms from percussion and palpation. Scientific Reports 2025;15(1) View
  20. Lu X, Fang J, Xiao W, Wu J. Research progress and future prospects in intelligent lung sound diagnosis: models, lightweight design, and hardware platform implementation. Biomedical Engineering / Biomedizinische Technik 2025;70(6):483 View
  21. Aldawoodi N, Turner K, Patel K, Coughlin E, Mhaskar R, Streitmatter C, Hoffman M, Pow-Sang J, Ackerman R. A Randomized Controlled Trial Comparing pre-anesthesia Evaluation via Telemedicine to In-Person at an NCI-Designated Comprehensive Cancer Center. Telemedicine and e-Health 2025 View
  22. Chandrabhatla A, Horgan T, Narahari A, Kern J, Teman N, Mehaffey J, Scott C, Yarboro L, Carrott P. Urban and Rural Disparities in Access to Heart and Lung Transplantation. Journal of Surgical Research 2025;316:1 View

Books/Policy Documents

  1. Niwa M, Hara Y. Mobile Health (mHealth). View

Conference Proceedings

  1. Joshitha C, Kanakaraja P, Rooban S, Prasad B, Rao B, Teja S. 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS). Design and Implementation of Wi-Fi Enabled Contactless Electronic Stethoscope View
  2. Goh R, Qian Loo K, Tan Y, Yang Wong Z, Lim J, Welch L, Heng W, Yang Ling T, Pu S. 2023 IEEE International Conference on Sensors and Nanotechnology (SENNANO). Design Optimization of 3D Printed Digital Stethoscope for Low-Cost Telemedicine View
  3. Dhatrak M, Jadhav S, Gupta S, Siddiqui N. 2025 3rd International Conference on Advancement in Computation & Computer Technologies (InCACCT). AI-Enhanced Stethoscope for Real Time Cardiopulmonary Diagnostics and Telemedicine Integration View