Evidence map›Paper›PMID 38836986›Full record

ArticleAIDS and behavior2024

Assessing ChatGPT's Potential in HIV Prevention Communication: A Comprehensive Evaluation of Accuracy, Completeness, and Inclusivity.

Andrea De Vito, Agnese Colpani, Giulia Moi, Sergio Babudieri, Andrea Calcagno, Valeria Calvino, Manuela Ceccarelli, Gianmaria Colpani, Gabriella d'Ettorre, Antonio Di Biagio and 16 more

Abstract read
In one paragraph

Article in AIDS and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. ChatGPT in precision medicine.APL bioengineering · 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

26 authors.

Andrea De VitoUnit of Infectious Diseases, Department of Medicine, Surgery, and Pharmacy, University of Sassari, Sassari, 07100, Italy. andreadevitoaho@gmail.com.ORCID http://orcid.org/0000-0002-8265-5400
Agnese ColpaniUnit of Infectious Diseases, Department of Medicine, Surgery, and Pharmacy, University of Sassari, Sassari, 07100, Italy.
Giulia MoiUnit of Infectious Diseases, Department of Medicine, Surgery, and Pharmacy, University of Sassari, Sassari, 07100, Italy.
Sergio BabudieriUnit of Infectious Diseases, Department of Medicine, Surgery, and Pharmacy, University of Sassari, Sassari, 07100, Italy.
Andrea CalcagnoUnit of Infectious Diseases, Department of Medical Sciences, University of Turin, Torino, Italy.
Valeria CalvinoAssociazione Nazionale per la Lotta contro l'AIDS (ANLAIDS), Rome, Italy.
Manuela CeccarelliUnit of Infectious Diseases, School of Medicine and Surgery, "Kore" University of Enna, Enna, Italy.
Gianmaria ColpaniDepartment of Media and Culture Studies, Utrecht University, Utrecht, Netherlands.
Gabriella d'EttorreUnit of Infectious Diseases, Department of Public Health and Infectious Diseases, Azienda Policlinico Umberto I, Rome, Italy.
Antonio Di BiagioInfectious Diseases, San Martino Hospital Genoa, University of Genoa, Genoa, Italy.
Massimo FarinellaMario Mieli, LGBTQIA+ cultural association, Rome, Italy.
Marco FalaguastaAssociazione Nazionale per la Lotta contro l'AIDS (ANLAIDS), Padova, Italy.
Emanuele FocàUnit of Infectious and Tropical Diseases, Department of Clinical and Experimental Sciences, University of Brescia and ASST Spedali Civili di Brescia, Brescia, Italy.
Giusi GiupponiLega italiana per la lotta contro l'AIDS (LILA), Brescia, Italy.
Adriano José HabedDepartment of Media and Culture Studies, Utrecht University, Utrecht, Netherlands.
Wigbertson Julian IseniaDepartment of Anthropology, University of Amsterdam, Amsterdam, Netherlands.
Sergio Lo CaputoS.C. Malattie Infettive, Dipartimento di Scienze Mediche e Chirurgiche, University of Foggia, Foggia, Italy.
Giulia MarchettiClinic of Infectious Diseases, Department of Health Sciences, ASST Santi Paolo e Carlo, University of Milan, Milan, Italy.
Luca ModestiConigli Bianchi, Artivists against Serophobia, Italy.
Cristina MussiniUniversity of Modena and Reggio Emilia, Modena, Italy.
Giuseppe NunnariUnit of Infectious Diseases, Department of Clinical and Experimental Medicine, ARNAS Garibaldi Hospital, University of Catania, Catania, Italy.
Stefano RusconiInfectious Diseases Unit, Ospedale Civile di Legnano, ASST Ovest Milanese, DIBIC Luigi Sacco, Università degli Studi di Milano, Legnano, 20025, Italy.
Daria RussoNetwork Persone Sieropositive (NPS), Rome, Italy.
Annalisa SaracinoClinic of Infectious Diseases, Department of Precision and Regenerative Medicine and Ionian Area-(DiMePRe-J), University of Bari "Aldo Moro", Bari, Italy.
Pier Andrea SerraDepartment of Medicine, Surgery and Pharmacy, University of Sassari, Sassari, Italy.
Giordano MadedduUnit of Infectious Diseases, Department of Medicine, Surgery, and Pharmacy, University of Sassari, Sassari, 07100, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the advancement of artificial intelligence(AI), platforms like ChatGPT have gained traction in different fields, including Medicine. This study aims to evaluate the potential of ChatGPT in addressing questions related to HIV prevention and to assess its accuracy, completeness, and inclusivity. A team consisting of 15 physicians, six members from HIV communities, and three experts in gender and queer studies designed an assessment of ChatGPT. Queries were categorized into five thematic groups: general HIV information, behaviors increasing HIV acquisition risk, HIV and pregnancy, HIV testing, and the prophylaxis use. A team of medical doctors was in charge of developing questions to be submitted to ChatGPT. The other members critically assessed the generated responses regarding level of expertise, accuracy, completeness, and inclusivity. The median accuracy score was 5.5 out of 6, with 88.4% of responses achieving a score ≥ 5. Completeness had a median of 3 out of 3, while the median for inclusivity was 2 out of 3. Some thematic groups, like behaviors associated with HIV transmission and prophylaxis, exhibited higher accuracy, indicating variable performance across different topics. Issues of inclusivity were identified, notably the use of outdated terms and a lack of representation for some communities. ChatGPT demonstrates significant potential in providing accurate information on HIV-related topics. However, while responses were often scientifically accurate, they sometimes lacked the socio-political context and inclusivity essential for effective health communication. This underlines the importance of aligning AI-driven platforms with contemporary health communication strategies and ensuring the balance of accuracy and inclusivity.

Indexed as

HIV InfectionsArtificial IntelligenceCommunicationFemaleHealth CommunicationHealth Knowledge, Attitudes, PracticeHIV TestingHumansMaleAIChatGPTHIVHIV transmissionLLMPrEP

Identifiers

PMID38836986
PMCPMC11286632

What OpenQuestion holds

Textmetadata
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.