Published on in Vol 11, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37975, first published .
Exploring the Use of Wearable Sensors and Natural Language Processing Technology to Improve Patient-Clinician Communication: Protocol for a Feasibility Study

Exploring the Use of Wearable Sensors and Natural Language Processing Technology to Improve Patient-Clinician Communication: Protocol for a Feasibility Study

Exploring the Use of Wearable Sensors and Natural Language Processing Technology to Improve Patient-Clinician Communication: Protocol for a Feasibility Study

Journals

  1. LeBaron V, Flickinger T, Ling D, Lee H, Edwards J, Tewari A, Wang Z, Barnes L. Feasibility and acceptability testing of CommSense: A novel communication technology to enhance health equity in clinician–patient interactions. DIGITAL HEALTH 2023;9 View
  2. Zaver H, Patel T. Opportunities for the use of large language models in hepatology. Clinical Liver Disease 2023;22(5):171 View
  3. Thapa R, Poudel S, Krukiewicz K, Kunwar A. A topical review on AI-interlinked biodomain sensors for multi-purpose applications. Measurement 2024;227:114123 View
  4. Li X, Zhang L, Yang J, Teng F. Role of Artificial Intelligence in Medical Image Analysis: A Review of Current Trends and Future Directions. Journal of Medical and Biological Engineering 2024;44(2):231 View
  5. Yammouri G, Ait Lahcen A. AI-Reinforced Wearable Sensors and Intelligent Point-of-Care Tests. Journal of Personalized Medicine 2024;14(11):1088 View
  6. Wang Z, Hassan N, LeBaron V, Flickinger T, Ling D, Edwards J, Wu C, Boukhechba M, Barnes L. CommSense: A Wearable Sensing Computational Framework for Evaluating Patient-Clinician Interactions. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW2):1 View