ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026
The use of generative AI tools among individuals with cancer and their caregivers: a cross-sectional study of awareness, attitudes, and experiences.
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. 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.
- Comment on: "The use of generative artificial intelligence tools among individuals with cancer and their caregivers: a cross‑sectional study of awareness, attitudes, and experiences".Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
Corrections and comments
- Commented on by
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGenerative artificial intelligence (AI) tools offer novel avenues for patient support, yet data on their adoption in oncology remain limited. This study measured awareness, attitudes, and usage patterns of AI tools among individuals diagnosed with cancer and informal caregivers to inform clinical integration.
methodsA descriptive, cross-sectional study was conducted at a tertiary oncology center. Adult patients and their caregivers completed anonymous, structured questionnaires assessing sociodemographics, digital literacy, AI usage patterns, and perceptions. Multivariate logistic regression identified independent predictors of AI use.
resultsA total of 400 participants (68% patients, mean age 61 years; 32% caregivers, mean age 54 years) were included. While 75% were aware of AI tools, only 24% used them for cancer-related information. Multivariate analysis revealed that university-level education (adjusted odds ratio [aOR] = 4.47, p < 0.001), younger age (≤ 55 years; aOR = 2.64, p < 0.001) and recent diagnosis (< 1 year; aOR = 2.16, p = 0.003) were independent predictors of AI use. Caregivers used AI more regularly than patients and usage motivations diverged significantly. Notably, 69% of users did not disclose AI use to their physician. However, 73% of all participants expressed willingness to use AI if verified by their physician, and no users reported decreased trust in their oncologists.
conclusionsGenerative AI usage remains moderate and largely undisclosed ("silent usage"), driven by a distinct digital divide based on education and age. While patients and caregivers desire physician-verified tools, oncologists must proactively invite open, non-judgmental discussions about AI usage to clinically verify patients' findings, mitigate misinformation risks and ensure safe integration into clinical practice.
Indexed as
Identifiers
42704494What 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.