ReviewCureus2025
Ethical Integration of Artificial Intelligence in Healthcare: Narrative Review of Global Challenges and Strategic Solutions.
Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Integrating machine learning and artificial intelligence in the management of Acinetobacter infections: a narrative review.Infection · 2026Review
- Exploring the moral status of cadavers through artificial intelligence: a thematic analysis of AI-based perspectives in anatomy education.Philosophy, ethics, and humanities in medicine : PEHM · 2026Article
- From scores to signals: evolution and innovations in pediatric early warning systems.Acute and critical care · 2026Article
- Role of Digital Health Technologies and Artificial Intelligence in Modern Public Health Surveillance.Cureus · 2026Review
- AI-driven nanomedicine for cancer theranostics.Molecular cancer · 2026Review
- Training without Harm: Rethinking Ethics, Simulation and the Evolving Future of Medical Education in West Africa.Advances in medical education and practice · 2026Article
- Applications of Artificial Intelligence Technologies in Nursing for Noncommunicable Chronic Diseases: A Scoping Review.Journal of nursing management · 2026Article
- Patient and dental practitioner acceptance of artificial intelligence in dental care: a cross-sectional study in Saudi Arabia's eastern province.Frontiers in oral health · 2026Article
- Benchmarking large language models on the United States medical licensing examination for clinical reasoning and medical licensing scenarios.Scientific reports · 2025Article
- Artificial Intelligence in Nutrition and Dietetics: A Comprehensive Review of Current Research.Healthcare (Basel, Switzerland) · 2025Review
- Ethical considerations and challenges in the use of artificial intelligence in pediatric surgical practice: a national survey of Nigerian pediatric surgeons.World journal of pediatric surgery · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) is revolutionizing healthcare, offering innovative solutions to enhance diagnostic accuracy, treatment efficacy, and accessibility. However, integrating AI into clinical practice raises significant ethical implications, necessitating clear guidelines and frameworks. This paper provides a comprehensive review of the ethical landscape surrounding AI deployment in healthcare across various countries and regions. It explores AI's transformative potential while underscoring the need to prioritize patient safety, transparency, accountability, data privacy, fairness, and human oversight. The paper analyzes existing guidelines from the European Union, the United States, India, Australia, and Africa, identifying common ethical principles and considerations. It discusses challenges and proposes suggestions for addressing issues such as data quality and bias, transparency, privacy and security, accessibility and equity, and robust legal and regulatory frameworks. By fostering a comprehensive understanding of the ethical implications and guidelines surrounding AI in healthcare, this paper aims to contribute to the responsible development and equitable deployment of these transformative technologies.
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.