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organized/repo_cards · 学术方向；旧书签仍可访问，新统计不再使用这些字段。
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73
ahnhyungwoo/bosniak-reproducibility-meta-analysis
用于 Bosniak 分级可重复性系统综述与 meta 分析的数据及 R 代码Data and R code for the systematic review and meta-analysis of Bosniak classification reproducibility
0 ★
74
Ahmad-Fathinejad/Title-Abstract-Screening
SLM-PICO-Screener 是用于自动化系统综述筛选的轻量 NLP 流水线，基于 Phi-3 Mini 配合 LoRA 与 4-bit 量化，将文章分类为 8 个 PICO 标签。体积约 90 MB，可在消费级 GPU/CPU 上运行，加速生物医学研究中的证据综合。SLM-PICO-Screener is a lightweight NLP pipeline automating systematic review screening. Built on Phi-3 Mini with LoRA & 4-bit quantization, it classifies articles into 8 PICO labels. At ~90 MB, it runs on consumer GPUs/CPU, accelerating evidence synthesis in biomedical research.
0 ★
75
adrianstier/regen-2026-coral-regeneration-meta
珊瑚损伤后再生：PRISMA 系统综述与 meta 分析Coral regeneration after wounding: PRISMA systematic review and meta-analysis
0 ★
76
adrianstier/coral-regeneration-meta-analysis
珊瑚损伤后再生的 PRISMA 系统综述与 meta 分析。Coral regeneration after wounding: PRISMA systematic review and meta-analysis
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77
adnan-mayof/PRISMA-Guided-Systematic-Review-and-Meta-Analysis-Workflow
0 ★
78
ADBarshan/diagnostic-accuracy-of-AI-VS-RAdiologist-in-Breast-Carcinoma-Detection-via-Mammography
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。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
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