Evidence map›Paper›PMID 40395968›Full record

ReviewJournal of hand and microsurgery2025

Integrating artificial intelligence into orthopedics: Opportunities, challenges, and future directions.

Raju Vaishya, Anupam Sibal, Sujoy Kar, Sangita Reddy

Abstract readReview
In one paragraph

Review in Journal of hand and microsurgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Technology Review: The Hidden Influence of AI in Orthopaedic Surgery.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Raju VaishyaIndraprastha Apollo Hospitals, New Delhi, India.
Anupam SibalGroup Medical Director, Apollo Hospitals Group, Indraprastha Apollo Hospitals, New Delhi, India.
Sujoy KarChief Medical Information Officer and Vice-President, Apollo Hospitals, Greams Road Chennai 600006, India.
Sangita ReddyApollo Hospitals Enterprise Limited, Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Artificial intelligence (AI) is transforming orthopedics by improving diagnostic accuracy, optimizing surgical planning, and personalizing treatment approaches. This review evaluates the applications of AI in orthopedics, focusing on its impact on patient care, the efficacy of AI methodologies, and challenges in integrating these technologies into clinical practice. Methods: A comprehensive literature search was conducted across PubMed, Scopus, and Google Scholar for articles published up to 28 Results: Findings demonstrate AI's effectiveness in areas such as fracture detection and treatment planning, mainly through machine learning and deep learning. AI has improved outcomes in joint reconstruction, spine surgery, and rehabilitation. However, challenges such as data standardization and clinical validation remain. Conclusion: The review highlights AI's potential to revolutionize orthopedic practice, emphasizing the need for ongoing research to overcome barriers to adoption. Future directions should prioritize multi-center clinical trials, enhanced data protocols, and stakeholder collaboration to ensure ethical and effective AI implementation, ultimately improving patient outcomes and care delivery.

Indexed as

Artificial intelligenceData miningMachine learningOrthopedicsRobotics

Identifiers

PMID40395968
PMCPMC12088811

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.