相关实验视频

Updated: Jun 23, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.2K

用大语言改变乳腺癌诊断和治疗模式:一项全面的调查

Mohsen Ghorbian1, Mostaf Ghobaei-Arani1, Saied Ghorbian2

  • 1Department of Computer Engineering, Qo.C., Islamic Azad University, Qom, Iran.

Methods (San Diego, Calif.)
|April 8, 2025
PubMed
概括

大型语言模型 (LLM) 通过分析复杂的数据来增强乳腺癌 (BrCa) 诊断和治疗. 简单的临床医学提高了诊断效率,临床可靠性和患者教育,为BrCa护理推进了精准医学.

关键词:
在瘤学中使用人工智能乳腺癌 乳腺癌 乳腺癌在癌症LLM应用程序.大型语言模型医疗数据处理 医疗数据处理

更多相关视频

Using Computer-based Image Analysis to Improve Quantification of Lung Metastasis in the 4T1 Breast Cancer Model08:32

Using Computer-based Image Analysis to Improve Quantification of Lung Metastasis in the 4T1 Breast Cancer Model

Published on: October 2, 2020

6.0K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

466

相关概念视频

Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...