Evidence map›Paper›PMID 41148328›Full record

ArticleAesthetic plastic surgery2026

Artificial Intelligence (AI)-Assisted Patient Education and Concerns Following Facelift Surgery: A Study on ChatGPT-4 and Gemini.

Hisham Almousa, Rafeef Alhajress, Abdulaziz Alabdulkareem, Mashal Abaalkhail, Amani Obeid, Naif Fnais, Mohammed Jomah, Badi Aldosari, Ahmed Alarfaj

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Article in Aesthetic plastic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Hisham AlmousaDepartment of Otolaryngology - Head and Neck Surgery, King Saud University Medical City, Riyadh, Kingdom of Saudi Arabia. h.h.h66@windowslive.com.ORCID 0009-0000-2129-881X
Rafeef AlhajressDepartment of Otolaryngology - Head and Neck Surgery, King Saud University Medical City, Riyadh, Kingdom of Saudi Arabia.
Abdulaziz AlabdulkareemDepartment of Otolaryngology - Head and Neck Surgery, Ministry of National Guard Health Affairs (MNGHA), Riyadh, Kingdom of Saudi Arabia.
Mashal AbaalkhailDepartment of Otolaryngology - Head and Neck Surgery, Ad Diryah hospital, Ministry of health, Riyadh, Kingdom of Saudi Arabia.
Amani ObeidDepartment of Otolaryngology - Head and Neck Surgery, King Saud University Medical City, Riyadh, Kingdom of Saudi Arabia.
Naif FnaisDepartment of Otolaryngology - Head and Neck Surgery, King Saud University Medical City, Riyadh, Kingdom of Saudi Arabia.
Mohammed JomahDepartment of Otolaryngology - Head and Neck Surgery, King Saud University Medical City, Riyadh, Kingdom of Saudi Arabia.
Badi AldosariDepartment of Otolaryngology - Head and Neck Surgery, King Saud University Medical City, Riyadh, Kingdom of Saudi Arabia.
Ahmed AlarfajDepartment of Otolaryngology - Head and Neck Surgery, King Saud University Medical City, Riyadh, Kingdom of Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFacelift surgery offers aesthetic results that nonsurgical methods cannot achieve. As an elective procedure, facelift surgery requires patients to have a clear understanding of potential postoperative complications and appropriate postoperative care. Nevertheless, timely access to medical care can be challenging in remote areas. Integrating advanced artificial intelligence (AI) tools such as ChatGPT-4 and Gemini into postoperative care may help bridge this gap by offering continuous patient education and support. This study aimed to evaluate the utility of ChatGPT-4 and Gemini in addressing common patient concerns and education following facelift surgery.

methodsThe five most frequently asked postoperative facelift questions were submitted to ChatGPT-4 and Gemini. Responses were assessed by five expert facial plastic surgeons based on four criteria: accuracy, clarity, relevance, and response time.

resultsBoth AI models demonstrated strong overall performance. ChatGPT-4 and Gemini each achieved an average accuracy of 88%, closely aligning with current medical guidelines. Clarity ratings were 80% for ChatGPT-4 and 92% for Gemini, indicating generally understandable responses. Relevance scores were high, with ChatGPT-4 at 100% and Gemini at 96%, effectively addressing patient concerns. Both models provided instant responses, earning 100% in response time.

conclusionsChatGPT-4 and Gemini show promise as supportive tools in postoperative facelift care. They delivered responses that were accurate, clear, relevant, and timely. While not a replacement for medical professionals, both AI models can serve as valuable adjuncts to patient education, particularly where access to care is limited. These findings highlight AI's emerging role in enhancing postoperative care in facial plastic surgery. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors   www.springer.com/00266 .

Indexed as

Artificial IntelligencePatient Education as TopicPostoperative CareRhytidoplastyAdultEstheticsFemaleGenerative Artificial IntelligenceHumansMaleMiddle AgedPatient SatisfactionSurveys and QuestionnairesArtificial intelligenceChatGPT-4FaceliftFacial plasticGeminiPatient education

Identifiers

PMID41148328

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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.