ReviewPolymers2022
Artificial Intelligence-Empowered 3D and 4D Printing Technologies toward Smarter Biomedical Materials and Approaches.
Review in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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
33 citing papers in PubMed.
- Exploring the role of 4D printing materials, techniques, and characteristics for personalized oncology.Translational oncology · 2026Review
- Review of Progress of AI in Biomimetics: From Biological Patterns to Closed-Loop Discovery.Biomimetics (Basel, Switzerland) · 2026Review
- From Smart Hydrogel Design to 4D-Printed Scaffolds: Emerging Paradigms in Precision Drug Delivery and Regenerative Wound Therapy.Gels (Basel, Switzerland) · 2026Review
- Bioprinting Organs-Science or Fiction?-A Review From Students to Students.Advanced healthcare materials · 2026Review
- Review
- Research Progress in Artificial Intelligence-Assisted Preparation of High-Quality Biomaterials.ACS omega · 2026Review
- Applications of 3D Printing and Artificial Intelligence in Healthcare Management: A Narrative Review.Bioengineering (Basel, Switzerland) · 2026Review
- Ultra-Short Peptide Hydrogels as 3D Bioprinting Materials.Gels (Basel, Switzerland) · 2026Review
- Advancing transdermal drug delivery through 4D bioprinting and dynamic skin modelling.Frontiers in drug delivery · 2026Review
- Four-Dimensional Printing of Shape Memory Polymers for Biomedical Applications: Advances in DLP and SLA Manufacturing.Polymers · 2025Review
- A methodological framework for integrating model-guided medicine and multidimensional information management systems: application in anti-aging healthcare.International journal of computer assisted radiology and surgery · 2025Article
- Revolutionizing Orthopedics through Integration of Artificial Intelligence and 3D Printing for Enhanced Patient Care.Indian journal of orthopaedics · 2025Review
- 3D bioprinting in tissue engineering: current state-of-the-art and challenges towards system standardization and clinical translation.Biofabrication · 2025Review
- Reply to Developing 3D-Printed Wrist Splints for Distal Radius and Scaphoid Fractures.Journal of wrist surgery · 2025Article
- Recent advances in 3D printing applications for CNS tumours.European journal of medical research · 2025Review
- Wearable and Flexible Sensor Devices: Recent Advances in Designs, Fabrication Methods, and Applications.Sensors (Basel, Switzerland) · 2025Review
- Artificial Intelligence-Driven Innovations in Pharmaceutical Development and Drug Delivery Systems.Current topics in medicinal chemistry · 2025Review
- Organic Ink Multi-Material 3D Printing of Sustainable Soft Systems.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Trends in 4D Printed Shape Memory Biomaterials for Tissue Engineering Applications.Current pharmaceutical design · 2025Review
- Towards the development of foods 3D printer: Trends and technologies for foods printing.Heliyon · 2024Review
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
In the last decades, 3D printing has played a crucial role as an innovative technology for tissue and organ fabrication, patient-specific orthoses, drug delivery, and surgical planning. However, biomedical materials used for 3D printing are usually static and unable to dynamically respond or transform within the internal environment of the body. These materials are fabricated ex situ, which involves first printing on a planar substrate and then deploying it to the target surface, thus resulting in a possible mismatch between the printed part and the target surfaces. The emergence of 4D printing addresses some of these drawbacks, opening an attractive path for the biomedical sector. By preprogramming smart materials, 4D printing is able to manufacture structures that dynamically respond to external stimuli. Despite these potentials, 4D printed dynamic materials are still in their infancy of development. The rise of artificial intelligence (AI) could push these technologies forward enlarging their applicability, boosting the design space of smart materials by selecting promising ones with desired architectures, properties, and functions, reducing the time to manufacturing, and allowing the in situ printing directly on target surfaces achieving high-fidelity of human body micro-structures. In this review, an overview of 4D printing as a fascinating tool for designing advanced smart materials is provided. Then will be discussed the recent progress in AI-empowered 3D and 4D printing with open-loop and closed-loop methods, in particular regarding shape-morphing 4D-responsive materials, printing on moving targets, and surgical robots for in situ printing. Lastly, an outlook on 5D printing is given as an advanced future technique, in which AI will assume the role of the fifth dimension to empower the effectiveness of 3D and 4D printing for developing intelligent systems in the biomedical sector and beyond.
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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.