ArticleBreast (Edinburgh, Scotland)2020
Using artificial intelligence to analyse and teach communication in healthcare.
Article in Breast (Edinburgh, Scotland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Artificial intelligence for affective-domain development in healthcare professions education: a systematic review.Frontiers in medicine · 2026Pooled it
- Convergence of disciplines: a systematic review of multidisciplinary development approaches in artificial intelligence.Frontiers in digital health · 2025Pooled it
- The Role of Social Media Interaction in Developing Intercultural Digital Communication Competence: A Systematic Literature Review.Behavioral sciences (Basel, Switzerland) · 2026Review
- Bridging medical education and public health: a pedagogical model to develop future physicians' capacity in audience-tailored health communication.Frontiers in public health · 2026Article
- Medical students' perceptions of AI-based feedback and feedforward on communication skills in doctor-patient consultation - an acceptance study in a video-based simulation.Medical education online · 2025Article
- A novel deep transformer based CvT model for sign language recognition in visual communication.Scientific reports · 2025Article
- Evaluation of an AI-Based Chatbot Providing Real-Time Feedback in Communication Training for Mental Health Care Professionals: Proof-of-Concept Observational Study.Journal of medical Internet research · 2025Observational
- Evaluating the role of visit audio recordings in triadic dementia care: study protocol.BMC geriatrics · 2025Article
- How to talk to parents.Pediatric radiology · 2025Review
- Leveraging LLM to identify missed information in patient-physician communication: improving healthcare service quality.Frontiers in medicine · 2025Article
- Incorporating Patient Values in Large Language Model Recommendations for Surrogate and Proxy Decisions.Critical care explorations · 2024Article
- Artificial Intelligence and Healthcare Simulation: The Shifting Landscape of Medical Education.Cureus · 2024Review
- Dimensions of artificial intelligence on family communication.Frontiers in artificial intelligence · 2024Article
- Reimagining Core Entrustable Professional Activities for Undergraduate Medical Education in the Era of Artificial Intelligence.JMIR medical education · 2023Article
- Artificial Intelligence Supporting the Training of Communication Skills in the Education of Health Care Professions: Scoping Review.Journal of medical Internet research · 2023Article
- Communication Training: Significance and Effects of a Preliminary Psychological Intervention upon an Audit Team.International journal of environmental research and public health · 2023Article
- Examining how physician factors influence patient satisfaction during clinical consultations about cancer prognosis and pain.PEC innovation · 2022Article
- An Evolution of Reporting: Identifying the Missing Link.Diagnostics (Basel, Switzerland) · 2022Review
- How Can Research on Artificial Empathy Be Enhanced by Applying Deepfakes?Journal of medical Internet research · 2022Article
- Multiple approaches to enhancing cancer communication in the next decade: translating research into practice and policy.Translational behavioral medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Communication is a core component of effective healthcare that impacts many patient and doctor outcomes, yet is complex and challenging to both analyse and teach. Human-based coding and audit systems are time-intensive and costly; thus, there is considerable interest in the application of artificial intelligence to this topic, through machine learning using both supervised and unsupervised learning algorithms. In this article we introduce health communication, its importance for patient and health professional outcomes, and the need for rigorous empirical data to support this field. We then discuss historical interaction coding systems and recent developments in applying artificial intelligence (AI) to automate such coding in the health setting. Finally, we discuss available evidence for the reliability and validity of AI coding, application of AI in training and audit of communication, as well as limitations and future directions in this field. In summary, recent advances in machine learning have allowed accurate textual transcription, and analysis of prosody, pauses, energy, intonation, emotion and communication style. Studies have established moderate to good reliability of machine learning algorithms, comparable with human coding (or better), and have identified some expected and unexpected associations between communication variables and patient satisfaction. Finally, application of artificial intelligence to communication skills training has been attempted, to provide audit and feedback, and through the use of avatars. This looks promising to provide confidential and easily accessible training, but may be best used as an adjunct to human-based training.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.