This paper is in the following e-collection/theme issue:

Grant Proposals (eHealth, funded) (77) Wearable Devices and Sensors (818) Methods and Feasibility Studies (368) Natural Language Processing (644) Clinical Information and Decision Making (1328)

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

Authors of this article:

Virginia LeBaron1 Author Orcid Image ;   Mehdi Boukhechba2 Author Orcid Image ;   James Edwards1 Author Orcid Image ;   Tabor Flickinger3 Author Orcid Image ;   David Ling3 Author Orcid Image ;   Laura E Barnes2 Author Orcid Image
Article Authors Cited by (4) Tweetations (5) Metrics

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