ReviewBiomimetics (Basel, Switzerland)2023
Artificial Intelligence in Regenerative Medicine: Applications and Implications.
Review in Biomimetics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 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
68 citing papers in PubMed.
- Emerging, personalized, and minimally invasive technologies for periodontal and peri-implant soft and hard tissue regenerative therapy.Journal of periodontology · 2026Review
- Artificial intelligence for design strategies of tissue engineering materials.Fundamental research · 2026Review
- Artificial intelligence and the future of prosthodontics: a narrative review.The Saudi dental journal · 2026Article
- Artificial intelligence driven protein design and sustainable nanomedicine for advanced theranostics.Bioactive materials · 2026Review
- From insights to innovations: evaluating preclinical paradigms in demyelinating disease therapeutics.Lab animal · 2026Review
- Multidimensional bibliometric analysis and global trends in the nervous system's role in bone regeneration.Regenerative therapy · 2026Article
- Article
- Stem Cell Therapies for Gastrointestinal and Liver Diseases: Translational Barriers, Clinical Heterogeneity, and Future Directions.Biomedicines · 2026Review
- Advanced Grafting Biomaterials and Technologies in Chronic Wound Care: Mechanisms, Clinical Outcomes, and Therapeutic Integration.Journal of functional biomaterials · 2026Review
- Applied Nanobiotechnology for Vector-borne Disease Management: Drug Delivery, Diagnostics, and Sustainable Vector Control.Applied biochemistry and biotechnology · 2026Review
- Mechanotransduction and its impact on regenerative medicine in orthopedic rehabilitation (Review).International journal of molecular medicine · 2026Review
- Revolutionizing Stem Cell Sorting with Machine Learning: A Review of Trends, Tools, and Future Directions.Iranian journal of medical sciences · 2026Review
- Regenerative and Stem Cell-Based Therapies for Arthritis: Harnessing Mesenchymal Stem Cells, Exosomes, and Bioengineered Scaffolds for Functional Joint Repair.Stem cell reviews and reports · 2026Review
- Regenerative Therapy at the Crossroads: From Cell-Based to Cell-Free Precision Medicine.Bioengineering (Basel, Switzerland) · 2026Article
- Automatic Recognition and Prognostic Prediction of Colorectal Liver Metastases Using a Multi-Scale Deep Learning Framework: Model Development and Validation Study.JMIR medical informatics · 2026Article
- Review
- AI-Based Prediction of Gene Expression in Single-Cell and Multiscale Genomics and Transcriptomics.International journal of molecular sciences · 2026Review
- Article
- Application of Artificial Intelligence in Stem Cells and Gene Therapy for Gynecological Cancers.Current stem cell research & therapy · 2026Review
- Advanced engineering strategies for biomaterial scaffolds application in tendon-bone interface regeneration.Burns & trauma · 2026Review
8 more citing papers are in PubMed but not listed here.
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
The field of regenerative medicine is constantly advancing and aims to repair, regenerate, or substitute impaired or unhealthy tissues and organs using cutting-edge approaches such as stem cell-based therapies, gene therapy, and tissue engineering. Nevertheless, incorporating artificial intelligence (AI) technologies has opened new doors for research in this field. AI refers to the ability of machines to perform tasks that typically require human intelligence in ways such as learning the patterns in the data and applying that to the new data without being explicitly programmed. AI has the potential to improve and accelerate various aspects of regenerative medicine research and development, particularly, although not exclusively, when complex patterns are involved. This review paper provides an overview of AI in the context of regenerative medicine, discusses its potential applications with a focus on personalized medicine, and highlights the challenges and opportunities in this field.
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.