Evidence map›Paper›PMID 39690359›Full record

ArticleLa Radiologia medica2025

How Italian radiation oncologists use ChatGPT: a survey by the young group of the Italian association of radiotherapy and clinical oncology (yAIRO).

Antonio Piras, Federico Mastroleo, Riccardo Ray Colciago, Ilaria Morelli, Andrea D'Aviero, Silvia Longo, Roberta Grassi, Giuseppe Carlo Iorio, Francesca De Felice, Luca Boldrini and 2 more

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Article in La Radiologia medica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

Who cites it

3 citing papers in PubMed.

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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

12 authors.

Antonio PirasUO Radioterapia Oncologica, Villa Santa Teresa, 90011, Bagheria, Palermo, Italy.
Federico MastroleoDivision of Radiation Oncology, IEO European Institute of Oncology IRCCS, 20141, Milan, Italy.
Riccardo Ray ColciagoSchool of Medicine and Surgery, University of Milano Bicocca, Piazza Dell'Ateneo Nuovo, 1, 20126, Milan, Italy. riccardoraycolciago@gmail.com.ORCID http://orcid.org/0000-0002-3867-2844
Ilaria MorelliRadiation Oncology Unit, Department of Experimental and Clinical Biomedical Sciences, Azienda Ospedaliero-Universitaria Careggi, University of Florence, Florence, Italy.
Andrea D'AvieroDepartment of Radiation Oncology, "S.S Annunziata" Chieti Hospital, Chieti, Italy.
Silvia LongoUOC Radioterapia Oncologica, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy.
Roberta GrassiDepartment of Precision Medicine, University of Campania "L. Vanvitelli", Naples, Italy.
Giuseppe Carlo IorioDepartment of Oncology, Radiation Oncology, University of Turin, Turin, Italy.
Francesca De FeliceRadiation Oncology, Policlinico Umberto I, Department of Radiological, Oncological and Pathological Sciences, "Sapienza" University of Rome, Rome, Italy.
Luca BoldriniUOC Radioterapia Oncologica, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy.
Isacco DesideriRadiation Oncology Unit, Department of Experimental and Clinical Biomedical Sciences, Azienda Ospedaliero-Universitaria Careggi, University of Florence, Florence, Italy.
Viola SalvestriniRadiation Oncology Unit, Department of Experimental and Clinical Biomedical Sciences, Azienda Ospedaliero-Universitaria Careggi, University of Florence, Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the awareness and the spread of ChatGPT and its possible role in both scientific research and clinical practice among the young radiation oncologists (RO). MATERIAL AND

methodsAn anonymous, online survey via Google Forms (including 24 questions) was distributed among young (< 40 years old) ROs in Italy through the yAIRO network, from March 15, 2024, to 31, 2024. These ROs were officially registered with yAIRO in 2023. We particularly focused on the emerging use of ChatGPT and its future perspectives in clinical practice.

resultsA total of 76 young physicians answered the survey. Seventy-three participants declared to be familiar with ChatGPT, and 71.1% of the surveyed physicians have already used ChatGPT. Thirty-one (40.8%) participants strongly agreed that AI has the potential to change the medical landscape in the future. Additionally, 79.1% of respondents agreed that AI will be mainly successful in research processes such as literature review and drafting articles/protocols. The belief in ChatGPT's potential results in direct use in daily practice in 43.4% of the cases, with mainly a fair grade of satisfaction (43.2%). A large part of participants (69.7%) believes in the implementation of ChatGPT into clinical practice, even though 53.9% fear an overall negative impact.

conclusionsThe results of the present survey clearly highlight the attitude of young Italian ROs toward the implementation of ChatGPT into clinical and academic RO practice. ChatGPT is considered a valuable and effective tool that can ease current and future workflows.

Indexed as

Practice Patterns, Physicians'Radiation OncologistsRadiation OncologyAdultFemaleGenerative Artificial IntelligenceHumansItalyMaleSocieties, MedicalSurveys and QuestionnairesArtificial intelligenceImpact of ChatGPTRadiation oncologyYoung physicians

Identifiers

PMID39690359

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Registered trials

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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.