Evidence map›Paper›PMID 38903157›Full record

ReviewFrontiers in artificial intelligence2024

Exploring ChatGPT's potential in the clinical stream of neurorehabilitation.

Maria Grazia Maggio, Gennaro Tartarisco, Davide Cardile, Mirjam Bonanno, Roberta Bruschetta, Loris Pignolo, Giovanni Pioggia, Rocco Salvatore Calabrò, Antonio Cerasa

Abstract readReview
In one paragraph

Review in Frontiers in artificial intelligence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
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

9 authors.

Maria Grazia Maggio *IRCCS Centro Neurolesi Bonino-Pulejo, Messina, Italy.
Gennaro Tartarisco *Institute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), Messina, Italy.
Davide CardileIRCCS Centro Neurolesi Bonino-Pulejo, Messina, Italy.
Mirjam BonannoIRCCS Centro Neurolesi Bonino-Pulejo, Messina, Italy.
Roberta BruschettaInstitute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), Messina, Italy.
Loris PignoloS'Anna Institute, Crotone, Italy.
Giovanni PioggiaInstitute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), Messina, Italy.
Rocco Salvatore CalabròIRCCS Centro Neurolesi Bonino-Pulejo, Messina, Italy.
Antonio CerasaInstitute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), Messina, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In several medical fields, generative AI tools such as ChatGPT have achieved optimal performance in identifying correct diagnoses only by evaluating narrative clinical descriptions of cases. The most active fields of application include oncology and COVID-19-related symptoms, with preliminary relevant results also in psychiatric and neurological domains. This scoping review aims to introduce the arrival of ChatGPT applications in neurorehabilitation practice, where such AI-driven solutions have the potential to revolutionize patient care and assistance. First, a comprehensive overview of ChatGPT, including its design, and potential applications in medicine is provided. Second, the remarkable natural language processing skills and limitations of these models are examined with a focus on their use in neurorehabilitation. In this context, we present two case scenarios to evaluate ChatGPT ability to resolve higher-order clinical reasoning. Overall, we provide support to the first evidence that generative AI can meaningfully integrate as a

Indexed as

acquired brain injuryartificial intelligenceChatGPTgenerative AIneurorehabilitation

Identifiers

PMID38903157
PMCPMC11187276

What OpenQuestion holds

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LicenceCC BY
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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.