ArticleObesity science & practice2025
A Pilot Feasibility Study Exploring the Preliminary Effectiveness of an AI-Driven Virtual Human Intervention for General Practitioner Obesity Education and Communication-Skills Training.
Article in Obesity science & practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Synthetic relationships with Social Pedagogical Agents in education: a scoping literature review.Frontiers in artificial intelligence · 2026Pooled it
- Artificial Intelligence, Wearable Technologies, and Virtual Reality in Precision Nutrition and Obesity Management: A Critical Narrative Review.Diseases (Basel, Switzerland) · 2026Review
- A Virtual Simulator to Improve Weight-Related Communication Skills for Health Care Professionals: Mixed Methods Pre-Post Pilot Feasibility Study.JMIR medical education · 2025Article
- A Pilot Feasibility Study Exploring the Preliminary Effectiveness of an AI-Driven Virtual Human Intervention for General Practitioner Obesity Education and Communication-Skills Training.Obesity science & practice · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Rising global obesity rates demand effective weight management strategies from general practitioners (GPs). However, time constraints, training gaps, and low confidence often impede GPs' ability to conduct weight-based conversations. This pilot study assessed the feasibility and preliminary effectiveness of an AI-driven Virtual Human (VH) obesity education and communication-skills training tool, specifically designed to address these challenges and enhance obesity education and communication-skills among GPs. Methods: A pilot feasibility study with a pre-post survey design evaluated the impact of the VH tool on knowledge, self-efficacy, empathy toward patients with obesity, and confidence in clinical consultations. Participant perceptions, trust, and intention to use the VH tool were explored. Paired-sample Results: A total of 22 GPs were recruited. Despite some attrition, significant improvements were observed in knowledge ( Conclusions: This pilot study demonstrates the potential of an AI-driven VH tool to enhance GP obesity education and communication skills. The observed improvements in key outcomes support the potential of VH technology in medical education on obesity. To further establish the efficacy and explore the broader applicability, future research should focus on larger, controlled trials across various provider groups. Overall, these preliminary observations highlight a promising avenue for enhancing the skills of a wider range of providers in the obesity treatment space.
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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.