Additional file 1 of Performance of GPT-4 for automated prostate biopsy decision-making based on mpMRI: a multi-center evidence study
| Title: | Additional file 1 of Performance of GPT-4 for automated prostate biopsy decision-making based on mpMRI: a multi-center evidence study |
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| Authors: | Ming-Jun Shi; Zhi-Xiang Wang; Shuang-Kun Wang; Xuan-Hao Li; Yan-Lin Zhang; Ying Yan; Ran An; Li-Ning Dong; Lei Qiu; Tian Tian; Jia-Xin Liu; Hong-Chen Song; Ya-Fan Wang; Che Deng; Zi-Bing Cao; Hong-Yin Wang; Zheng Wang; Wei Wei; Jian Song; Jian Lu; Xuan Wei; Zhen-Chang Wang |
| Publication Year: | 2025 |
| Collection: | The University of Auckland: Figshare |
| Subject Terms: | Medicine; Cell Biology; Biotechnology; Cancer; Biological Sciences not elsewhere classified; Prostate biopsy; Generative Pretrained Transformer-4 (GPT-4); Decision-making; Prostate cancer; Multiparametric magnetic resonance imaging (mpMRI) |
| Description: | Additional file 1. Methods. Fig. S1 Flowchart of patient screening, exclusions, and eligibility. Fig. S2 Subgroup analysis of confusion matrices showing pathological outcomes vs. Generative Pretrained Transformer (GPT)-4 biopsy recommendations across 3 cohorts. Fig. S3 Confusion matrices displaying pathological outcomes vs. Generative Pretrained Transformer (GPT)-4 recommendations for biopsy (n = 912). Fig. S4 Interface of the PostAIGuide platform. Table S1 Two examples of Chain of Thought (CoT) responses. Table S2 Two typical examples of “dialogues” with Generative Pretrained Transformer (GPT)-4 and the generated reports. Table S3 Quantitative results from the confusion matrix. Table S4 Three relatively challenging questions and GPT-4’s responses. |
| Document Type: | article in journal/newspaper |
| Language: | unknown |
| DOI: | 10.6084/m9.figshare.29486317.v1 |
| Availability: | https://doi.org/10.6084/m9.figshare.29486317.v1; https://figshare.com/articles/journal_contribution/Additional_file_1_of_Performance_of_GPT-4_for_automated_prostate_biopsy_decision-making_based_on_mpMRI_a_multi-center_evidence_study/29486317 |
| Rights: | CC BY + CC0 |
| Accession Number: | edsbas.ABA07E59 |
| Database: | BASE |