Evidence map›Paper›PMID 42023602›Full record

ArticleAndrology2026

Artificial Intelligence in Patient Education: ChatGPT for Penile Prosthesis Surgery Counseling, a Likert Scale Analysis.

Gabriele Tulone, Nicola Pavan, Rosa Giaimo, Alchiede Franco Simonato, Alfonzo Salzano, Davide Cosentino, Francesco Claps, Alchiede Simonato

Abstract read
In one paragraph

Article in Andrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Gabriele TuloneDepartment of Precision Medicine in the Medical, Surgical and Critical Care Area (Me.Pre.C.C.), University of Palermo, Palermo, Italy.ORCID https://orcid.org/0000-0002-5797-3351
Nicola PavanDepartment of Precision Medicine in the Medical, Surgical and Critical Care Area (Me.Pre.C.C.), University of Palermo, Palermo, Italy.
Rosa GiaimoDepartment of Precision Medicine in the Medical, Surgical and Critical Care Area (Me.Pre.C.C.), University of Palermo, Palermo, Italy.
Alchiede Franco SimonatoDepartment of Precision Medicine in the Medical, Surgical and Critical Care Area (Me.Pre.C.C.), University of Palermo, Palermo, Italy.ORCID https://orcid.org/0000-0002-1764-8001
Alfonzo SalzanoDepartment of Precision Medicine in the Medical, Surgical and Critical Care Area (Me.Pre.C.C.), University of Palermo, Palermo, Italy.
Davide CosentinoDepartment of Precision Medicine in the Medical, Surgical and Critical Care Area (Me.Pre.C.C.), University of Palermo, Palermo, Italy.
Francesco ClapsOncological Urology, Veneto Institute of Oncology IRCCS, Padua, Italy.
Alchiede SimonatoDepartment of Precision Medicine in the Medical, Surgical and Critical Care Area (Me.Pre.C.C.), University of Palermo, Palermo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionErectile dysfunction (ED) significantly impacts quality of life. For patients unresponsive to conservative treatments, penile prosthesis implantation represents an effective solution with high satisfaction rates. However, the complexity and sensitive nature of the procedure often generate multiple patient concerns. Artificial intelligence (AI) chatbots such as ChatGPT are increasingly used for medical information, although concerns remain regarding accuracy and misinformation. This study aimed to evaluate the clarity, accuracy, and clinical appropriateness of ChatGPT's responses to frequently asked questions (FAQs) on penile prosthesis surgery.

methodsFifteen representative FAQs were identified from patient forums and educational platforms. Questions were submitted to ChatGPT (GPT-4, November 2024) in a single session. A panel of seven expert urologists evaluated responses using a four-point Likert scale across four domains: clarity, medical accuracy, relevance, and risk of misinformation.

resultsAll responses achieved mean scores above 3, indicating overall clinical acceptability. The highest ratings were observed for relevance (3.40 ± 0.54) and clarity (3.37 ± 0.57). Slightly lower scores were reported for medical accuracy (3.19 ± 0.67) and risk of misinformation (3.18 ± 0.59). A strong positive correlation was found between clarity and relevance (ρ = 0.80), while medical accuracy correlated with lower misinformation risk (ρ = 0.77).

conclusionsChatGPT provides generally clear, relevant, and clinically acceptable responses for patient education in penile prosthesis surgery, although minor clarifications are often required. It may serve as a supportive tool to complement traditional counseling but cannot replace physician-patient communication, which remains essential for individualized care and informed decision-making.

Indexed as

Artificial IntelligenceCounselingErectile DysfunctionPatient Education as TopicPenile ImplantationPenile ProsthesisGenerative Artificial IntelligenceHumansMaleartificial intelligenceerectile dysfunctionpatient educationpenile prosthesisurology

Identifiers

PMID42023602
PMCPMC13432411

What OpenQuestion holds

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LicenceCC BY
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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.