ReviewSkin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)2024
Recent advances in artificial intelligent strategies for tissue engineering and regenerative medicine.
Review in Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed.
- Review
- When Bioengineering Met Artificial Intelligence: From Machine Learning to Intelligent Bioengineering Systems.Bioengineering (Basel, Switzerland) · 2026Article
- Biochemical and Physicomechanical Cues of Biomaterials Guide Osteogenic Differentiation of Mesenchymal Stem Cells.International journal of molecular sciences · 2026Review
- Biomimetic scaffolds based on stem cells for neural tissue engineering: a review.Stem cell research & therapy · 2026Review
- 3D-Bioprinted Multifunctional Nanocomposite Scaffolds for Alveolar Bone-Periodontal Ligament-Root Cementum Regeneration: A Narrative Review.Biomimetics (Basel, Switzerland) · 2026Review
- The Role that Biobanks Can Play in Driving Animal-Free Biomedical Research.Expert reviews in molecular medicine · 2026Review
- Advanced Grafting Biomaterials and Technologies in Chronic Wound Care: Mechanisms, Clinical Outcomes, and Therapeutic Integration.Journal of functional biomaterials · 2026Review
- Advances and Challenges in Tissue Engineering: Biomaterials, Cellular Strategies, and Clinical Applications.Journal of functional biomaterials · 2026Review
- Vascularised Brain Organoids: Engineering Strategies and Neurobiological Applications.Cell proliferation · 2026Review
- Reimagining periodontal regeneration: smart biomaterials for a complex tissue landscape.Regenerative biomaterials · 2026Review
- Artificial intelligence in tissue engineering and regenerative medicine: from algorithmic capability to intelligent integration.Frontiers in bioengineering and biotechnology · 2026Review
- Tissue regenerative medicine: Clinical advances, challenges, and opportunities.APL bioengineering · 2025Article
- Smart hybrid nanomaterials for chronic infections: microbiome-responsive and sustainable therapeutic platforms.Journal of nanobiotechnology · 2025Review
- The Synergy of Artificial Intelligence and 3D Bioprinting: Unlocking New Frontiers in Precision and Tissue Fabrication.Advanced functional materials · 2025Article
- 3D Bioprinted Neural Tissues: Emerging Strategies for Regeneration and Disease Modeling.Pharmaceutics · 2025Review
- The Role of Artificial Intelligence and Machine Learning in Advancing Animal Biotechnology: A Review.Archives of Razi Institute · 2025Review
- Pediatrics 4.0: the Transformative Impacts of the Latest Industrial Revolution on Pediatrics.Health care analysis : HCA : journal of health philosophy and policy · 2025Article
- Precision Recovery After Spinal Cord Injury: Integrating CRISPR Technologies, AI-Driven Therapeutics, Single-Cell Omics, and System Neuroregeneration.International journal of molecular sciences · 2025Review
- Multimodal AI in Biomedicine: Pioneering the Future of Biomaterials, Diagnostics, and Personalized Healthcare.Nanomaterials (Basel, Switzerland) · 2025Review
- Beyond symptomatic alignment: evaluating the integration of causal mechanisms in matching animal models with human pathotypes in osteoarthritis research.Arthritis research & therapy · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundTissue engineering and regenerative medicine (TERM) aim to repair or replace damaged or lost tissues or organs due to accidents, diseases, or aging, by applying different sciences. For this purpose, an essential part of TERM is the designing, manufacturing, and evaluating of scaffolds, cells, tissues, and organs. Artificial intelligence (AI) or the intelligence of machines or software can be effective in all areas where computers play a role.
methodsThe "artificial intelligence," "machine learning," "tissue engineering," "clinical evaluation," and "scaffold" keywords used for searching in various databases and articles published from 2000 to 2024 were evaluated.
resultsThe combination of tissue engineering and AI has created a new generation of technological advancement in the biomedical industry. Experience in TERM has been refined using advanced design and manufacturing techniques. Advances in AI, particularly deep learning, offer an opportunity to improve scientific understanding and clinical outcomes in TERM.
conclusionThe findings of this research show the high potential of AI, machine learning, and robots in the selection, design, and fabrication of scaffolds, cells, tissues, or organs, and their analysis, characterization, and evaluation after their implantation. AI can be a tool to accelerate the introduction of tissue engineering products to the bedside. HIGHLIGHTS: The capabilities of artificial intelligence (AI) can be used in different ways in all the different stages of TERM and not only solve the existing limitations, but also accelerate the processes, increase efficiency and precision, reduce costs, and complications after transplantation. ML predicts which technologies have the most efficient and easiest path to enter the market and clinic. The use of AI along with these imaging techniques can lead to the improvement of diagnostic information, the reduction of operator errors when reading images, and the improvement of image analysis (such as classification, localization, regression, and segmentation).
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.