Evidence map›Paper›PMID 41312510›Full record

ArticlePlastic and reconstructive surgery. Global open2025

Artificial Intelligence-driven Innovation: Patent and Publication Analysis of ChatGPT-generated Ideas for Upper Extremity Prosthetics.

Kazimir R Bagdady, Alexander Hoffman, Sonia S Patel, Puja Jagasia, Isabel Herzog, Gregory A Dumanian, Jason H Ko, Lindsay Janes

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Article in Plastic and reconstructive surgery. Global open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

8 authors.

Kazimir R BagdadyFrom the Division of Plastic and Reconstructive Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL.
Alexander HoffmanDivision of Plastic and Reconstructive Surgery, Department of Surgery, Saint Louis University School of Medicine, Saint Louis, MO.
Sonia S PatelDivision of Plastic and Reconstructive Surgery, Department of Surgery, Saint Louis University School of Medicine, Saint Louis, MO.
Puja JagasiaFrom the Division of Plastic and Reconstructive Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL.
Isabel HerzogDepartment of Plastic Surgery, Rutgers New Jersey Medical School, Newark, NJ.
Gregory A DumanianFrom the Division of Plastic and Reconstructive Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL.
Jason H KoFrom the Division of Plastic and Reconstructive Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL.
Lindsay JanesFrom the Division of Plastic and Reconstructive Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: ChatGPT, a large language model artificial intelligence (AI), has been used to augment patient-facing information, aid in resident education, and support research endeavors. The purpose of this study was to investigate an alternative use of AI by analyzing, through patent and publication data, whether ideas created by ChatGPT are novel and, therefore, useful to the innovative process. Methods: ChatGPT was prompted with the statement: "Give me three ideas for innovation in hand prosthetics." These responses were used to complete a review of the literature and conduct a patent search. Searches for publications and patents were based on key words from the AI-generated text and Cooperative Patent Classification codes, respectively. Patent and publication number correlations for the last 10 years were calculated using a Pearson correlation for each group. Results: Relevant patent numbers for each search (1: sensory feedback; 2: mind control; and 3: lightweight and durable materials) were as follows: 1: 47; 2: 17; and 3: 20. Publication numbers were as follows: 1: 69; 2: 69; and 3: 19. There were poor correlations between the number of patents and publications in all cases: Conclusions: The data presented in this study show that ChatGPT was not able to generate innovative responses. However, when asked about specific technologies (ie, upper extremity prosthetics), it may have utility in generating ideas for technology refinement. As AI continues to advance, the novelty of its ideas will likely follow suit.

Identifiers

PMID41312510
PMCPMC12647520

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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.