SynthesisCurrent oncology reports2025
Artificial Intelligence and Decision-Making in Oncology: A Review of Ethical, Legal, and Informed Consent Challenges.
Synthesis in Current oncology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Ethical challenges to patient autonomy in the era of artificial intelligence: a systematic review.BMC medical informatics and decision making · 2026Pooled it
- Ethical challenges in the algorithmic era: a systematic rapid review of risk insights and governance pathways for nursing predictive analytics and early warning systems.BMC medical ethics · 2025Pooled it
- Navigating AI governance for oncology nursing: Existing models, implications, and a Call for nurse-led oversight in Asia Pacific health systems.Asia-Pacific journal of oncology nursing · 2026Article
- Review
- AI-Augmented Teach-Back in Dentistry: From Patient Education to Verified Clinical Understanding.Cureus · 2026Review
- Artificial Intelligence for Personalized Management of Acute Myeloid Leukemia.Journal of personalized medicine · 2026Review
- Single-session agreement of ChatGPT and Gemini treatment recommendations with multidisciplinary tumor board decisions in thoracic oncology.BMC cancer · 2026Observational
- 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
- Review
- Redefining oropharyngeal cancer in the HPV era: integrating precision medicine and immunotherapeutic frontiers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
- Next-Generation Artificial Intelligence Strategies for Mechanistic Cancer Target Discovery and Drug Development: A State-of-the-Art Review.International journal of molecular sciences · 2026Review
- Impact of Artificial Intelligence on the Care of Terminally Ill Patients.Healthcare (Basel, Switzerland) · 2026Review
- Decoding Uncertainty Quantification for Oncology-An Illustration Using Radiomics.Diagnostics (Basel, Switzerland) · 2026Article
- Ethical Responsibility in Medical AI: A Semi-Systematic Thematic Review and Multilevel Governance Model.Healthcare (Basel, Switzerland) · 2026Review
- Review
- International metastatic renal cell carcinoma database consortium classification and regression tree analysis to characterize objective response rates to first line in metastatic renal cell carcinoma.Frontiers in oncology · 2026Article
- Hereditary cancer syndromes with gynecological cancer risk: focus on prevention strategies.Frontiers in oncology · 2026Review
- Modeling Pain Dynamics and Opioid Response in Oncology Inpatients: A Retrospective Study with Application to AI-Guided Analgesic Strategies in Colorectal Cancer.Medicina (Kaunas, Lithuania) · 2025Observational
- Evaluating the combined efficacy of Telisotuzumab Vedotin and artificial intelligence in the treatment of non-squamous non-small cell lung cancer: a narrative review focusing on pharmaceutical and technical insights.Frontiers in oncology · 2025Review
- Ethical and legal concerns in artificial intelligence applications for the diagnosis and treatment of lung cancer: a scoping review.Frontiers in public health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewArtificial Intelligence (AI) integration in oncology is transforming therapeutic decision-making by providing clinical decision support. AI may improve treatment precision, but it raises ethical, legal, and informed consent issues. This review examines these paramount AI implementation issues in cancer care. This systematic review followed the PRISMA 2020 guidelines and was prospectively registered in the PROSPERO (CRD420251046482) database. A comprehensive literature search was conducted in PubMed, Embase, and the Cochrane CENTRAL Library to identify studies published between January 2015 and May 2025. AI-supported oncology therapeutic decision-making studies with ethical, legal, or informed consent implications were eligible. RECENT
findingsFifteen studies met the inclusion criteria. AI applications were found to support treatment recommendations, personalize drug dosing, and improve adherence and patient management. Despite these benefits, the review highlighted key concerns, including algorithmic transparency, unclear accountability in AI-guided decisions, data privacy, and gaps in patient understanding of AI's role in their care. AI has the potential to enhance oncological care, but ethical and legal issues must be addressed for safe and equitable implementation. Emphasis should be placed on developing robust informed consent models, mitigating algorithmic bias, and establishing clear legal accountability. Future research must establish ethical frameworks and regulatory mechanisms to protect patient autonomy and responsibly integrate AI into oncology.
Indexed as
Identifiers
What Socratic 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 Socratic graph.