ADBarshan/diagnostic-accuracy-of-AI-VS-RAdiologist-in-Breast-Carcinoma-Detection-via-Mammography
- 类型：github
- 标识：ADBarshan/diagnostic-accuracy-of-AI-VS-RAdiologist-in-Breast-Carcinoma-Detection-via-Mammography
- 链接：https://github.com/ADBarshan/diagnostic-accuracy-of-AI-VS-RAdiologist-in-Breast-Carcinoma-Detection-via-Mammography
- 主分类：evaluation
- 形态：benchmark
- 分类：academic-writing
- 学术辅助任务：systematic-review
- 学术主任务：meta-analysis
- 学术阶段：evidence
- Stars：0
- 周增：+0
- 最近提交：2026-08-11
- 简介：Artificial intelligence (AI) has emerged as a promising tool to improve the diagnostic accuracy of 49 mammography for breast carcinoma detection. This systematic review and meta-analysis aim to 50 explore the accuracy of AI and radiologists in breast carcinoma detection via mammography
- 上次采集：2026-08-12
- 首次采集：2026-08-11
- 学术状态：accepted
- 学术方向：summarize
- 学术用途：systematic-review
- 能力分面：citation
- 学术相关度：80
- 学术判定：deterministic
- 学术证据：anchor:systematic review; query:systematic-review; query:meta-analysis; task:meta-analysis:meta analysis
- 学术复核时间：2026-08-12T01:30:02+08:00
- 待LLM分类：否
- 成熟度：experimental
- 场景：医学影像、诊断、meta分析
- 简介中文：人工智能（AI）已成为提升乳腺 X 线摄影对乳腺癌诊断准确性的潜力工具。本系统综述与荟萃分析旨在探讨 AI 与放射科医生通过乳腺 X 线摄影检测乳腺癌的准确性。
- 来源文件：
- [GitHub Search]