SynthesisJournal of robotic surgery2026
Smarter bones: AI & robotics revolutionise orthopedic surgery.
Synthesis in Journal of robotic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
1 author.
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Abstract
Artificial intelligence (AI) and robotics are changing the way orthopedic surgery is performed and taught. This review, conducted using a systematic review approach, looks at how these technologies are being used today, what benefits they bring, what challenges remain, and how they may shape the future. The study focuses on two main areas: surgical improvements and medical training. In surgery, tools such as robotic navigation, motion control systems, and smart prediction models help doctors work with greater accuracy. In education, simulation platforms and AI support systems are giving trainees more confidence and helping them learn faster. The review is based on recent research, including large studies and clinical reports. Results show that robotic-assisted procedures, especially knee operations and fracture repairs, can improve accuracy, reduce complications, and make surgical tasks smoother. Training platforms powered by data also help reduce skills gaps. However, there are still concerns. These include the high cost of adopting technology, limited long-term patient data, and difficulties applying AI models to different healthcare settings. Unequal access to advanced tools and a lack of standard training systems are also slow progress. The review suggests more collaboration, better training standards, and stronger ethical guidelines. While AI and robotics show great promise, future success will depend on real-world testing, fair access, and strong teamwork between humans and machines.
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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 Socratic graph.