日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Invisible Text Injection and Peer Review by AI Models

利用人工智能模型进行隐形文本注入和同行评审

Choi, Byungjin; Jun, Tae Joon; Sung, Joung Won; Park, Il Woo; Lee, Jeong-Moo; Cho, Soo Ick; Park, Hyung Jun; Lee, Ro Woon; Suh, Jungyo

Artificial intelligence-based personalized oncological outcome prediction model for upper urinary tract urothelial carcinoma after radical nephroureterectomy: A development and multicenter validation

基于人工智能的上尿路尿路上皮癌根治性肾输尿管切除术后个体化肿瘤预后预测模型:开发及多中心验证

Lee, Hyun Young; Kim, Hwanik; Lim, Bumjin; You, Dalsan; Song, Cheryn; Jeong, In Gab; Hong, Jun Hyuk; Hong, Bumsik; Ahn, Hanjong; Jeong, Seung-Hwan; Ku, Ja Hyeon; Suh, Jungyo

Correction: Intravesical instillation-based mTOR-STAT3 dual targeting for bladder cancer treatment

更正:基于膀胱灌注的 mTOR-STAT3 双靶向治疗膀胱癌

Lee, Dae Hoon; Yoo, Jung Ki; Um, Ki Hwan; Ha, Wootae; Lee, Soo Min; Park, Junseong; Kye, Min Jeong; Suh, Jungyo; Choi, Jin Woo

Vulnerability of Large Language Models to Prompt Injection When Providing Medical Advice

大型语言模型在提供医疗建议时容易受到提示注入的影响

Lee, Ro Woon; Jun, Tae Joon; Lee, Jeong-Moo; Cho, Soo Ick; Park, Hyung Jun; Suh, Jungyo

Comparative analysis of oncologic outcomes in surgically treated patients with renal cell carcinoma and renal vein thrombosis by pathologic subtypes

按病理亚型对接受手术治疗的肾细胞癌合并肾静脉血栓患者的肿瘤学结果进行比较分析

Shin, Dongrul; Lim, Bumjin; Song, Cheryn; You, Dalsan; Jeong, In Gab; Hong, Jun Hyuk; Ahn, Hanjong; Hong, Bumsik; Jeong, Chang Wook; Han, Jang Hee; Suh, Jungyo

Diagnostic accuracy of urinary PENK methylation test for urothelial and other cancers: A prospective study

尿液PENK甲基化检测对尿路上皮癌和其他癌症的诊断准确性:一项前瞻性研究

Lee, Sangmin; Lim, Bumjin; Suh, Jungyo; Hong, Bumsik; Jeong, In Gab

Multimodal machine learning for 5-year mortality prediction after percutaneous coronary intervention

利用多模态机器学习预测经皮冠状动脉介入治疗后5年死亡率

Kim, Byeolhee; Suh, Jungyo; Kim, Young-Hak; Ahn, Jung-Min; Jun, Tae Joon

A prompt framework for enhancing LLM-based explainability of medical machine learning models: an intensive care unit application

一种用于增强基于LLM的医学机器学习模型可解释性的快速框架:以重症监护室应用为例

Lee, Sujung; Cho, Won Ik; Lee, Youngrong; Kim, Duck Ju; Nam, Kyeng Hyun; Lee, Sangmin; Suh, Jungyo; Ko, Taehoon

Evaluation of intraductal carcinoma and invasive cribriform carcinoma as predictors of genetic mutations in systemic treatment-naïve prostate cancer patients

评估导管内癌和浸润性筛状癌作为未经全身治疗的前列腺癌患者基因突变预测指标的价值

Lee, Sangmin; Park, Inkeun; Ahn, Bokyung; Lim, Bumjin; Kim, Jung Kwon; You, Dalsan; Jeong, In Gab; Hong, Jun Hyuk; Ahn, Hanjong; Suh, Jungyo

Incidence and risk factors for dermatologic adverse events following apalutamide use: a real-world data analysis in the Korean population

阿帕鲁胺使用后皮肤不良事件的发生率和危险因素:一项基于韩国人群真实世界数据的分析

Lee, Sangmin; Lim, Bumjin; Kim, Jung Kwon; Jeong, In Gab; Hong, Jun Hyuk; Ahn, Hanjong; Suh, Jungyo