ReviewCureus2025
Emerging Horizons: The Confluence of Artificial Intelligence and Graphic Medicine in Healthcare Education and Dentistry.
Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Graphic medicine, the use of visual storytelling to convey health-related information, is gaining recognition in dentistry for its ability to enhance patient understanding and engagement. With the advent of artificial intelligence (AI), this medium is being significantly enriched to support both educational and clinical objectives. This review aimed to assess the integration of AI into graphic medicine within dentistry, focusing on its applications in patient education, clinical decision-making, and professional training. This narrative review synthesizes current literature and technological developments regarding AI tools such as natural language processing, image recognition, and generative design-and their implementation in creating personalized and culturally appropriate graphic content for dental care. AI-driven graphic medicine tools enable the creation of adaptive, user-responsive visual materials that enhance communication about oral hygiene, dental procedures, and post-treatment care. These tools support real-time patient interaction and improve the clarity, accessibility, and inclusivity of health information, especially for children, geriatric patients, and individuals with limited health literacy or cognitive challenges. The integration of AI into graphic medicine represents a transformative advancement in dental practice. It holds substantial promise for improving patient outcomes by facilitating personalized education and enhancing clinical workflows.
Indexed as
Identifiers
What OpenQuestion holds
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.