ReviewBone research2025
Intelligent microstructure materials for diagnosis and treatment of osteoarthritis: progress and AI-enpowered future.
Review in Bone research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Heterogeneity in osteoarthritis radiotherapy: unresolved questions and the need for joint-specific evidence.Rheumatology international · 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
5 authors.
Funding
Abstract
Osteoarthritis (OA) is a widespread joint disorder that has emerged as a significant global healthcare challenge. Over the past decade, advancements in material science and medicine have transformed the development of functional materials aimed at addressing the complex issues associated with the diagnosis and treatment of OA. This review synthesizes the latest advancements in various types of intelligent micro-structured materials and their design principles. By examining the exceptional structural characteristics of materials with unique properties such as tailored attributes, controllability, biocompatibility, and bioactivity, we emphasize the design of composite materials for precise and early intervention in OA. This is achieved through advanced imaging techniques and machine learning-based analysis, alongside the customization of micro-structured material properties to align with the biological and mechanical requirements of specific joint tissues. This review offers an in-depth analysis of the transformative potential of advanced technologies and artificial intelligence (AI) in the development of innovative solutions for OA diagnosis and therapy. It aims to inform future research and inspire the creation of next-generation smart materials with unprecedented performance, thereby enhancing our capabilities in the prevention and treatment of OA.
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.