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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。
方向榜单 Legacy
145
dphipps980/HarvesterAI
一款简易的 GUI 工具,利用 AI 从 PDF 中系统性地提取数据,以辅助荟萃分析与系统综述。A simple GUI tool to systematically extract data from PDFs to assist in meta-analysis and systematic reviews using AI
0 ★
146
dmai287/brain-mri-recon-safety-slr
系统综述材料:研究方案、PRISMA 记录、各研究的数据以及筛选决策。Systematic review materials: protocol, PRISMA records, per-study data, screening decisions
0 ★
147
dionysia-debug/RGEP-Systematic-review-and-meta-analysis
本仓库包含用于系统综述和 meta 分析的全部代码,数据来自用 IMU 数据构建 ML 模型预测帕金森症状的论文。This repository contains all the codes used to systematically review and meta-analyse the data reported in papers where ML models have been built to predict Parkinson's symptoms using IMU data.
0 ★
148
davidcevallos/systematic-review-author-network
用于系统综述中识别、量化、验证与可视化作者重叠的 Python 工作流。可生成研究级网络图、连通分量、重叠比例、可审计的边表以及可直接发表的图表,便于透明报告。Python workflow for identifying, quantifying, validating, and visualizing author overlap among studies included in a systematic review. Generates study-level networks, connected components, overlap percentages, auditable edge tables, and publication-ready figures for transparent reporting.
0 ★
149
Cris223511/systematic-review-data-analysis
系统综述数据分析仓库:基于机器学习技术的自闭症谱系障碍儿童情绪识别Data analysis repository for systematic literature review on emotion recognition in childrens with Autism Spectrum Disorder using machine learning techniques
0 ★
150
cleventanweicong/mdr-systematic-review
关于细菌抗生素耐药程度标准化定义使用的系统综述与建议A systematic review and recommendations on the use of standard definitions for extent of antibiotic resistance in bacteria
0 ★
151
ChlorineHi/ST-Path-Survey
综述论文《From Representation Learning to Foundation Models》的官方仓库。系统综述空间转录组学与病理学的多模态融合,提出三层分类法(Embedding、Model、Knowledge 层级)及 2018 至 2025 的演进路线图。Official repository for the survey "From Representation Learning to Foundation Models". A systematic review of multimodal fusion for Spatial Transcriptomics and Pathology, featuring a three-tier taxonomy (Embedding, Model, and Knowledge levels) and an evolutionary roadmap from 2018 to 2025.
0 ★
152
Chiagoziem2/Systematic-review-screening
系统综述的主动学习摘要筛选。在全部 26 个 SYNERGY 数据集上基准测试:WSS@95 均值 64.1。Active-learning abstract screening for systematic reviews. Benchmarked across all 26 SYNERGY datasets: mean WSS@95 of 64.1.
0 ★
153
CHI9-SATR/sepsis-calibration-audit
假警报降低并非校准成果:脓毒症预测机器学习校准基线的 PRISMA 系统综述与数学分析。False-alarm reduction is not a calibration achievement: a PRISMA-compliant systematic review and mathematical analysis of calibration baselines in machine learning for sepsis prediction
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154
Cayonidas/inph-care-cascade-meta-analysis
iNPH 诊疗路径中分母特异性转归的系统综述与 Meta 分析的数据、代码与审计追踪(PROSPERO CRD420261458736)Data, code, and audit trail for the systematic review and meta-analysis of denominator-specific transitions in the iNPH care pathway (PROSPERO CRD420261458736)
0 ★
155
bzakeri46-design/Systematic_Review_Manager
Systematic Review Manager。Systematic Review Manager
0 ★
156
bzakeri46-design/SynthesisPro-AI
Systematic Review Mobile。Systematic Review Mobile
0 ★
157
brillernet-droid/meta-analysis-protocol-builder
以证据为先的系统综述与 meta 分析工具包,涵盖选题审计、方案规划与提取模板。Evidence-first toolkit for systematic-review and meta-analysis topic auditing, protocol planning, and extraction templates.
0 ★
158
benisonodigie-dev/MMLA-systematic-Review
MMLA 在发展中经济体与 LMIC 中的综合系统综述。A Comprehensive Systematic review of MMLA in developing economics and LMIC.
0 ★
159
barah123/Claude-Biomedical-Research-Skills
面向生物医学系统综述的 Claude Code skills 协议:MCP 锚定引用、实证完整性、PRISMA/PROSPERO 系统综述、新颖性核查、Zotero 操作、并行审稿手稿修订,并提供面向健康科学研究策划的生信、临床与科学传播 skill 集合。Claude Code skills protocol for biomedical systematic review: MCP-grounded citations, empirical integrity, PRISMA/PROSPERO systematic reviews, novelty checks, Zotero operations, and parallel-critic manuscript revision — plus a curated set of bioinformatics, clinical, and scientific-communication skills for health-science research.
0 ★
160
awabahmad469/composite-endpoints-audit
论文 "Composite endpoints sharing a name do not always share a definition — a registry-based audit of five systematic reviews, and why heterogeneity statistics do not detect the problem" 的配图与补充材料。Figures and supplementary materials accompanying the manuscript “Composite endpoints sharing a name do not always share a definition — a registry-based audit of five systematic reviews, and why heterogeneity statistics do not detect the problem.
0 ★
161
api-evangelist/distillersr-api
每项新科学发现、新设备、新药物与新政策指南的背后,都离不开文献综述。DistillerSR 的软件帮助用户在大规模下更快速、更准确、更透明、安全地管理循证研究及其数据分析。Behind every new scientific discovery, every new device, every new drug and new policy guideline, there are literature reviews. DistillerSR's software enables customers to securely automate the management of evidence-based research and the analysis of its data faster, more accurately, and more transparently at scale.
0 ★
162
AnkiAnaesthesia/evidentum
自包含的系统综述工作台——多库检索、双评审筛选、AI 辅助批判性评价(RoB 2、ROBINS-I、GRADE…)。单 HTML 文件,无后端,数据不离开浏览器。Self-contained systematic review workbench — multi-database search, dual-reviewer screening, AI-assisted critical appraisal (RoB 2, ROBINS-I, GRADE…). One HTML file, no backend, data never leaves your browser.
0 ★
163
andreaslofberg/screened
Screened——系统综述的双筛选员标题/摘要筛选日志。Cursor/Claude skill 加离线工作表。科研运营,非临床诊疗Screened — dual-screener title/abstract screening logs for systematic reviews. Cursor/Claude skill + offline worksheet. Research ops, not care.
0 ★
164
amgrbi96/amgrbi-skills
面向 AI 编程助手的 Agent skills —— 文档解析、PDF 工程、系统综述研究、闪卡与 WhatsApp 自动化。兼容 Claude Code、Cursor、Codex、ZCode。Agent skills for AI coding assistants — document parsing, PDF engineering, systematic-review research, flashcards, and WhatsApp automation. Works with Claude Code, Cursor, Codex, ZCode.
0 ★
165
ambika241/acetaminophen-ndd-reanalysis
可复现流水线:对 Prada 等人(2025)对乙酰氨基酚/NDD 系统综述中发表偏倚证据的定量再分析。Reproducible pipeline: quantitative reanalysis of the publication-bias evidence in Prada et al. (2025)'s acetaminophen/NDD systematic review
0 ★
166
AlexTaiNguyen006/NMN-NR-systematic-review-meta-analysis
0 ★
167
Akashwelgama/Conversation_Position_and_Early_Detection_in_Online_Grooming__A_Systematic_Review
一项系统性文献综述A systematic literature review
0 ★
168
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 ★
169
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 ★
170
aget-framework/template-reviewer-aget
系统综述与验证的质量模板——扩展 Consultant 角色原型。Quality template for systematic review and validation - Extends Consultant archetype
0 ★
171
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 ★
172
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
0 ★
173
adnan-mayof/PRISMA-Guided-Systematic-Review-and-Meta-Analysis-Workflow
0 ★
174
Aditya2623/OncoRAG
OncoRAG 是一个 RAG 系统,为临床医生和研究人员提供即时获取最新肿瘤学证据的能力——来源包括直接来自 PubMed 的随机对照试验、Meta 分析、系统综述和 III 期临床试验。提出临床问题,即可获得带引文的可靠答案。OncoRAG is a Retrieval-Augmented Generation system that gives clinicians and researchers instant access to the latest oncology evidence — drawing from Randomized Controlled Trials, Meta-Analyses, Systematic Reviews, and Phase III Clinical Trials sourced directly from PubMed. Ask a clinical question, get a grounded answer with citations.
0 ★
175
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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