ReviewIndian journal of orthopaedics2025
Revolutionizing Orthopedics through Integration of Artificial Intelligence and 3D Printing for Enhanced Patient Care.
Review in Indian journal of orthopaedics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Rheology-Guided PHB/PBAT/MgO Nanocomposites for FDM Printing with Balanced Mechanical and Degradation Performance.ACS omega · 2026Article
- Design improvements and clinical evaluation of an adjustable clubfoot splint.Scientific reports · 2025Article
- Review
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
No grant is acknowledged in the PubMed record.
Abstract
Background: The integration of artificial intelligence (AI) and 3D printing is transforming orthopedic practices, enabling personalized treatment, enhanced surgical precision, and innovative prosthetic development. Objective: This review investigates how AI and 3D printing technologies are revolutionizing orthopedic care by improving patient outcomes, facilitating advanced clinical practices, and offering novel solutions for complex challenges. Methods: The review synthesizes current literature and practical applications of AI and 3D printing in orthopedics, focusing on key areas such as joint replacements, spinal surgeries, fracture management, and prosthetics design. Results: AI enhances imaging, diagnostics, and treatment planning through data-driven decision-making, while 3D printing allows for the creation of patient-specific implants, surgical tools, and ventilated plaster casts. These innovations collectively reduce risks, accelerate recovery, and improve overall patient care. Additionally, sustainable practices like using recycled polymers in 3D printing are highlighted. Challenges: Key challenges include high costs, limitations in biocompatible materials, data privacy concerns, and the lack of standardized regulatory frameworks. Conclusion: Despite challenges, advancements in AI, materials science, and adaptive manufacturing processes show a promising future for the integration of these technologies in orthopedics. Interdisciplinary collaboration among clinicians, engineers, and AI specialists is essential to overcome existing barriers and expand their application, ultimately leading to precision-based, patient-centered care.
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.