Published on in Vol 5, No 10 (2017): October

Impact of a Telehealth Program With Voice Recognition Technology in Patients With Chronic Heart Failure: Feasibility Study

Impact of a Telehealth Program With Voice Recognition Technology in Patients With Chronic Heart Failure: Feasibility Study

Impact of a Telehealth Program With Voice Recognition Technology in Patients With Chronic Heart Failure: Feasibility Study

Journals

  1. Ammenwerth E, Modre-Osprian R, Fetz B, Gstrein S, Krestan S, Dörler J, Kastner P, Welte S, Rissbacher C, Pölzl G. HerzMobil, an Integrated and Collaborative Telemonitoring-Based Disease Management Program for Patients With Heart Failure: A Feasibility Study Paving the Way to Routine Care. JMIR Cardio 2018;2(1):e11 View
  2. Guo X, Gu X, Jiang J, Li H, Duan R, Zhang Y, Sun L, Bao Z, Shen J, Chen F. A Hospital-Community-Family–Based Telehealth Program for Patients With Chronic Heart Failure: Single-Arm, Prospective Feasibility Study. JMIR mHealth and uHealth 2019;7(12):e13229 View
  3. Egert M, Steward J, Sundaram C. Machine Learning and Artificial Intelligence in Surgical Fields. Indian Journal of Surgical Oncology 2020;11(4):573 View
  4. Namba H. Physical Activity Evaluation Using a Voice Recognition App: Development and Validation Study. JMIR Biomedical Engineering 2021;6(1):e19088 View
  5. García Bermúdez I, González Manso M, Sánchez Sánchez E, Rodríguez Hita A, Rubio Rubio M, Suárez Fernández C. Utilidad y aceptación del seguimiento telefónico de un asistente virtual a pacientes COVID-19 tras el alta. Revista Clínica Española 2021;221(8):464 View
  6. Bentellis I, Guérin S, Khene Z, Khavari R, Peyronnet B. Artificial intelligence in functional urology: how it may shape the future. Current Opinion in Urology 2021;31(4):385 View
  7. Gouda P, Ganni E, Chung P, Randhawa V, Marquis-Gravel G, Avram R, Ezekowitz J, Sharma A. Feasibility of Incorporating Voice Technology and Virtual Assistants in Cardiovascular Care and Clinical Trials. Current Cardiovascular Risk Reports 2021;15(8) View
  8. García Bermúdez I, González Manso M, Sánchez Sánchez E, Rodríguez Hita A, Rubio Rubio M, Suárez Fernández C. Usefulness and acceptance of telephone monitoring by a virtual assistant for patients with COVID-19 following discharge. Revista Clínica Española (English Edition) 2021;221(8):464 View
  9. Berry R, Keeling P. Compliance with Telemonitoring in Heart Failure. Are Study Findings Representative of Reality?: A Narrative Literature Review. Telemedicine and e-Health 2022;28(4):467 View
  10. Maddula R, MacLeod J, McLeish T, Painter S, Steward A, Berman G, Hamid A, Abdelrahim M, Whittle J, Brown S. The role of digital health in the cardiovascular learning healthcare system. Frontiers in Cardiovascular Medicine 2022;9 View
  11. Shara N, Bjarnadottir M, Falah N, Chou J, Alqutri H, Asch F, Anderson K, Bennett S, Kuhn A, Montalvo B, Sanchez O, Loveland A, Mohammed S, De Rosa S. Voice activated remote monitoring technology for heart failure patients: Study design, feasibility and observations from a pilot randomized control trial. PLOS ONE 2022;17(5):e0267794 View
  12. Nahar J, Lopez-Jimenez F. Utilizing Conversational Artificial Intelligence, Voice, and Phonocardiography Analytics in Heart Failure Care. Heart Failure Clinics 2022;18(2):311 View
  13. Firmino J, Melo M, Salemi V, Bringel K, Leone D, Pereira R, Rodrigues M. Heart failure recognition using human voice analysis and artificial intelligence. Evolutionary Intelligence 2023;16(6):2015 View
  14. Yang X, Li L. Research on English speech recognition system and training enhancement based on bat algorithm and acoustic model inspection. Soft Computing 2023 View
  15. Qiu M, Wang G. Speech matching algorithm and political learning communication mode based on mobile virtual platform. International Journal of System Assurance Engineering and Management 2023 View