ArticleCureus2023
A Novel Approach: Evaluating ChatGPT's Utility for the Management of Thyroid Nodules.
Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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Who cites it
13 citing papers in PubMed.
- Generative AI for patient education in cancer care: A scoping review of evaluation practices and emerging trends.Technical innovations & patient support in radiation oncology · 2026Review
- Can GPT-5.0 Interpret Thyroid Ultrasound Images? A Comparative TI-RADS Analysis with an Expert Radiologist.Diagnostics (Basel, Switzerland) · 2026Article
- Appropriateness of Thyroid Nodule Cancer Risk Assessment and Management Recommendations Provided by Large Language Models.Journal of imaging informatics in medicine · 2025Article
- Development and evaluation of large-language models (LLMs) for oncology: A scoping review.PLOS digital health · 2025Article
- Large language model integrations in cancer decision-making: a systematic review and meta-analysis.NPJ digital medicine · 2025Article
- Medical accuracy of artificial intelligence chatbots in oncology: a scoping review.The oncologist · 2025Article
- Evaluation of the impact Of ChatGPT support on acromegaly management and patient education.Endocrine · 2025Article
- Evaluation of accuracy, quality, and readability of information on hypothyroidism provided by different artificial intelligence chatbot models.Frontiers in public health · 2025Article
- Article
- Large language models in patient education: a scoping review of applications in medicine.Frontiers in medicine · 2024Article
- ChatGPT Performance in Diagnostic Clinical Microbiology Laboratory-Oriented Case Scenarios.Cureus · 2023Article
- Article
- Thyroid Nodule Experts Evaluating ChatGPT's Assessment of Thyroid Nodules Classified by the Bethesda System for Reporting Thyroid Cytopathology.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-facialeArticle
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and objective Artificial intelligence (AI) applications such as Chat Generative Pre-Trained Transformer (ChatGPT) created by OpenAI, which represent the revolutionary aspects of today's technology, have benefitted professionals in many fields and society at large. In this study, we aimed to assess how effective is ChatGPT in helping both the patient and the physician manage thyroid nodules, a very common pathology. Methods Fifty-five questions frequently asked by patients were identified and asked to ChatGPT. Subsequently, three cases of thyroid nodules were progressively presented to ChatGPT. The answers to patient questions were scored for correctness and reliability by two endocrinologists. As for the cases, diagnostic and therapeutic approaches provided by ChatGPT were analyzed and scored by two endocrinologists for correctness, safety, and usability. The responses were evaluated by using 7-point Likert-type scales designed by us. Results The answers to patient questions were found to be mostly correct and reliable by both raters (Rater #1: 6.47 ± 0.50 and 6.27 ± 0.52; Rater #2: 6.18 ± 0.92 and 6.09 ± 0.96). Regarding the management of cases, ChatGPT's approach was found to be largely correct, safe, and usable by Rater #1, while Rater #2 evaluated the approaches as partially or mostly correct, safe, and usable. Conclusion Based on our findings, ChatGPT can be used as an informative and reliable resource for managing patients with thyroid nodules. While it is not suitable to be used as a primary resource for physicians, it has the potential to be a helpful and supportive tool.
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Registered trials
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.