ArticleCancer control : journal of the Moffitt Cancer Center
Perceptions, Attitudes, and Concerns on Artificial Intelligence Applications in Patients with Cancer.
Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07600541 (Perceptions of Kidney Transplant Recipients Regarding the Role of Artificial Intelligence in Medicine), which is not on this map. Cited by 24 papers.
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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.
Perceptions of Kidney Transplant Recipients Regarding the Role of Artificial Intelligence in Medicine
Who cites it
24 citing papers in PubMed.
- Trust and Technology Acceptance: Comparing Traditional Search Engines and Artificial Intelligence for Colorectal Cancer Information Seeking.Cancer control : journal of the Moffitt Cancer CenterTrial
- The Use of Artificial Intelligence Chatbots by Newly Diagnosed Cancer Patients: A Descriptive Phenomenological Study.Current oncology (Toronto, Ont.) · 2026Article
- The use of generative AI 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
- Psychometric Evaluation of the Artificial Intelligence Perception Scale for Cancer Patients: A Structural Equation Modeling Approach.Journal of evaluation in clinical practice · 2026Article
- Protecting Informational Self-determination in AI-driven Precision Oncology: Privacy, Ethics, and Governance Challenges.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2026Article
- Advancements, challenges, and prospects of explainable AI in sleep disordered breathing.Sleep & breathing = Schlaf & Atmung · 2026Review
- Patients' Attitudes and Beliefs Toward Artificial Intelligence Use in Cancer Care: Cross-Sectional Survey Study.JMIR cancer · 2026Article
- Public perceptions of AI-assisted cancer care in Abu Dhabi, UAE: A cross-sectional survey.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Review
- Artificial Intelligence Chatbots in Peritoneal Dialysis Education: A Cross-Sectional Comparative Study of Quality, Readability, and Reliability.Journal of clinical medicine · 2026Article
- Machine Learning-Based Identification and Validation of PYCR1 and PYGM as Prognostic Biomarkers for Osteosarcoma.Clinical Medicine Insights. Oncology · 2026Article
- Platform shift in mental health support among undergraduates: from campus counselors to GenAI-based consultation.Frontiers in psychiatry · 2026Article
- Perceived Barriers, Supportive-Care Integration, and Readiness for AI Integration in Oncology Practice: A Cross-Sectional Survey of Cancer Care Providers in Saudi Arabia.Journal of multidisciplinary healthcare · 2026Article
- Patient experiences, attitudes, and profiles regarding artificial intelligence in rheumatology: a German national cross-sectional survey study.Rheumatology international · 2025Article
- Artificial Intelligence Tools for Supporting Histopathologic and Molecular Characterization of Gynecological Cancers: A Review.Journal of clinical medicine · 2025Review
- Artificial Intelligence and the future of clinical trials.Contemporary clinical trials communications · 2025Article
- Physician perceptions of artificial intelligence in Northern Italy healthcare: a survey of fears and expectations.Frontiers in artificial intelligence · 2025Article
- Machine Learning-Based Enhanced MRI Radiomics for PDCD1 Prognostication and Expression Prediction in Breast Cancer.Clinical Medicine Insights. Oncology · 2025Article
- Construct prediction models for low muscle mass with metabolic syndrome using machine learning.PloS one · 2025Article
- Opinion paper: artificial intelligence in cardio-oncology: a clinical call to action.Frontiers in oncology · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
IntroductionThe use of artificial intelligence (AI) in oncology has increased rapidly, transforming various healthcare areas such as pathology, radiology, diagnostics, prognosis, genomics, treatment planning, and clinical trials. However, perspectives, comfort levels, and concerns about AI in cancer care remain largely unexplored.Materials and MethodsThis prospective, descriptive cross-sectional survey study was conducted between May 20, 2024 and October 22, 2024, among 363 patients with cancer from two different hospitals affiliated with Ankara University, a tertiary care center in Türkiye. The survey included three distinct sections: (1) Perceptions: Patients' general views on AI's impact in oncology; (2) Attitudes: Comfort level with AI performing medical tasks; (3) Concerns: Specific fears related to AI implementation (eg, diagnostic errors, data privacy, healthcare costs). Survey responses were summarized descriptively, and differences by age, gender, and education were analyzed using chi-square tests.ResultsA majority (50.7%) believed AI would somewhat (32%) or significantly (18.7%) improve healthcare. However, one-third of patients (33.1%) were very uncomfortable with AI diagnosing cancer, with higher discomfort among less-educated participants (
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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.