ArticleBioinformation2026
Knowledge and awareness of artificial intelligence among dental OPD patients at Patna medical college hospital.
Article in Bioinformation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Patient knowledge, attitude and behavior towards dental treatment in India.Bioinformation · 2026Article
- Assessment of knowledge, behavior and practices related to oral health and oral lesions among dental OPD patients in India.Bioinformation · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Limited patient understanding of artificial intelligence may hinder its effective integration into dental healthcare delivery. Therefore, it is of interest to assess knowledge, awareness and attitudes toward artificial intelligence among 420 patients attending the dental outpatient department of Patna Medical College and Hospital, September 2025 to Janurary 2026 using a validated structured questionnaire. Although 72.4% of participants had heard of artificial intelligence, only 28.6% demonstrated adequate knowledge of its healthcare applications and just 18.3% were aware of specific dental AI technologies. Awareness scores were significantly influenced by age, education level and urban residence (p < 0.001), while major concerns included data privacy, replacement of dentists and diagnostic reliability. Thus, we show substantial gaps in patient knowledge, underscoring the need for targeted educational initiatives to support informed acceptance of artificial intelligence in dental practice.
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.