ArticleJournal of orthopaedic case reports2024
The AI Orthopedician will see you now - But who is Liable if it's Wrong?
Article in Journal of orthopaedic case reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence in rehabilitation: a living systematic mapping review - first release.European journal of physical and rehabilitation medicine · 2025Pooled it
- Integrating Artificial Intelligence into Orthopedic Practice: Modeling Attitudes and Intentions to Use AI.Healthcare (Basel, Switzerland) · 2026Article
- Quantum computing in surgery and urology - taking a quantum leap.Nature reviews. Urology · 2026Article
- The AI doctor will see you soon: from assistants to autonomous practitioners.Medical review (2021) · 2025Article
- Artificial Intelligence Approach in Hip Prosthesis Identification and Addressing Radiographic Outcome Measures.Arthroplasty today · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) is revolutionizing various sectors, including health care, with orthopedics being no exception. Orthopedic practice, already familiar with technological advancements such as robotic surgery, is rapidly integrating AI into clinical workflows, enhancing precision in surgical planning, diagnostics, and patient care. However, this evolution raises critical questions, particularly regarding liability when AI systems fail and cause harm. This article delves into the role of AI in orthopedics, exploring its current applications and the potential legal implications that come with its adoption. It examines the global landscape, highlighting the lack of clear regulations around AI liability, especially in India, where the topic remains underexplored in medical literature. With insights into how AI is transforming orthopedic practice, the article addresses the pressing concern of who bears responsibility when AI errors occur. This timely discussion serves as an exploration of a unique and recent topic, urging Indian orthopedic surgeons to balance the benefits of AI with the responsibility they hold, as the legal framework surrounding AI in health care continues to evolve.
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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.