ArticleArtificial intelligence review2026
Advances in artificial intelligence: a review for the creative industries.
Article in Artificial intelligence review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
What it found
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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.
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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.
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Who cites it
38 citing papers in PubMed.
- The impact of generative AI on social media: an experimental study.Scientific reports · 2026Article
- Understanding purchase intention for genAI-enabled museum cultural and creative products using a SOR model.Scientific reports · 2026Article
- Advances in artificial intelligence: a review for the creative industries.Artificial intelligence review · 2026Article
- Generative AI as a cognitive support tool in early-stage design ideation: A human-AI co-ideation experiment.PloS one · 2026Article
- Beyond ethics and aesthetics: perceived lay theory violations and agency disruption in AI-generated art.Frontiers in psychology · 2026Article
- The mechanism of generative AI's construction of cultural identity: an empirical study based on Generation Z's social media behavior.Frontiers in psychology · 2026Article
- AI-generated videos in medical science popularization and education: a scoping review.Frontiers in public health · 2026Article
- Article
- Beyond usability: how AI tools shape design innovation ability among Chinese industrial design students.Frontiers in psychology · 2026Article
- A study on factors influencing music enthusiast's behavioral intention to use generative AI for music composition based on an expanded technology acceptance model.Scientific reports · 2025Article
- Examining factors affecting the acceptance of AI-powered creativity support tools among the industrial design community in China.Scientific reports · 2025Article
- An intelligent approach to predict the drilling penetration rate using acoustic emission technique (AET).Scientific reports · 2025Article
- A deep learning based framework for music-synchronized dance choreography with pose quantization and motion prediction for activity recognition.Scientific reports · 2025Article
- Cyber-Creativity: A Decalogue of Research Challenges.Journal of Intelligence · 2025Article
- A transformer-based architecture for collaborative filtering modeling in personalized recommender systems.Scientific reports · 2025Article
- Explainable AI in early autism detection: a literature review of interpretable machine learning approaches.Discover mental health · 2025Review
- Time-on-task and instructions help humans to keep up with AI: replication and extension of a comparison of creative performances.Scientific reports · 2025Article
- The analysis of generative artificial intelligence technology for innovative thinking and strategies in animation teaching.Scientific reports · 2025Article
- Research on driving factors of consumer purchase intention of artificial intelligence creative products based on user behavior.Scientific reports · 2025Article
- Exploring the Impact of Artificial Intelligence on the Creativity Perception of Music Practitioners.Journal of Intelligence · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) has undergone transformative advances since 2022, particularly through generative AI, large language models (LLMs), and diffusion models, fundamentally reshaping the creative industries. However, existing reviews have not comprehensively addressed these recent breakthroughs and their integrated impact across the creative production pipeline. This paper addresses this gap by providing a systematic review of AI technologies that have emerged or matured since our 2022 review, examining their applications across content creation, information analysis, post-production enhancement, compression, and quality assessment. We document how transformers, LLMs, diffusion models, and implicit neural representations have established new capabilities in text-to-image/video generation, real-time 3D reconstruction, and unified multi-task frameworks-shifting AI from support tool to core creative technology. Beyond technological advances, we analyze the trend toward unified AI frameworks that integrate multiple creative tasks, replacing task-specific solutions. We critically examine the evolving role of human-AI collaboration, where human oversight remains essential for creative direction and mitigating AI hallucinations. Finally, we identify emerging challenges including copyright concerns, bias mitigation, computational demands, and the need for robust regulatory frameworks. This review provides researchers and practitioners with a comprehensive understanding of current AI capabilities, limitations, and future trajectories in creative applications.
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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.