ArticleJournal of patient experience2025
Acceptance and Adoption of Artificial Intelligence Among Cancer Survivors Seeking Information: A Literature Review.
Article in Journal of patient experience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Exploring young adult cancer survivors' perspectives on generative AI chatbots for symptom support.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 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
5 authors.
Funding
Abstract
With artificial intelligence (AI) on the rise in healthcare, we investigated the acceptance and adoption of AI among cancer survivors who are seeking information. We searched 3 databases-PubMed, Scopus, and CINAHL for original research studies examining cancer survivors' acceptance and adoption of AI while seeking information. We screened 858 articles, resulting in the inclusion of 12 studies. Cancer survivors' perceived benefits of AI include diagnostic accuracy, improved healthcare access, and reduced healthcare costs. Concerns included the loss of human interaction, data loss, and privacy issues. Adoption and acceptance of AI-based Chatbots and cancer trial search tools were also demonstrated. Regarding the ethical use of AI, cancer survivors shared a desire for data de-identification, disclosure, and transparency. Cancer survivors accepted AI as an adjunct to physicians. Patients demonstrated acceptance and adoption of both AI-based educational tools and search engines. Developing AI models with better explainability and education can improve cancer survivors' acceptance and adoption of AI.
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.