EN49 minAI-Assisted Rapid and Systematic Reviews with SciSpace
Learn a structured way to plan and run a rapid or systematic review with SciSpace so evidence synthesis is faster but still methodical.
9experts18tutorials8languages
A systematic literature review answers a focused question using a transparent, reproducible method: a protocol, a documented search, explicit inclusion criteria, screening, data extraction and a reporting standard such as PRISMA.
Showing 18 tutorials
EN49 minLearn a structured way to plan and run a rapid or systematic review with SciSpace so evidence synthesis is faster but still methodical.
Plan a systematic literature review that uses SciSpace to speed up routine tasks while you keep control of methodological decisions.
EN41 minAvi Staiman shares a guided method for moving from a research question to PRISMA-ready systematic review outputs faster with AI.
EN39 minSee how SciSpace can speed up each stage of a systematic review while you keep control of criteria, verification and interpretation.
EN35 minSciSpace Research Scientist Rohan Tondulkar demonstrates a transparent, guided systematic review workflow combining established methods with AI tools.
Dr. Jarek Kriukow shares how he runs a real systematic literature review with SciSpace Agent, stage by stage.
EN44 minDr. Faheem Ullah shares his end-to-end systematic review workflow, from framing questions with SciSpace Topics to AI-assisted analysis.
EN35 minA systematic review in SciSpace can use AI assistance, but it must remain protocol-driven and reproducible. Define eligibility, outcomes, sources, dates, and synthesis methods before searching; document every query and screening decision; extract the same fields from each included study; assess quality; and preserve the evidence trail needed to reconstruct the review.
ENUse this SciSpace case study to see how a systematic review changes when real records expose ambiguous criteria, missing synonyms, and borderline decisions. Recreate the protocol, pilot screening, extraction, quality appraisal, and synthesis, then compare each decision with the video rationale rather than copying the final output.
ENSciSpace can automate much of the operational work of a systematic review while preserving researcher approval at critical stages. The workflow records the research questions, inclusion and exclusion criteria, database-specific search queries, screening decisions, extracted evidence, PRISMA flow diagram, and final structured report so the review remains traceable.
PT43 minO Prof. Ricardo Limongi mostra como conduzir um projeto completo no SciSpace, da busca à submissão, seguindo as boas práticas do PRISMA.
PT1 h 5 minVeja como usar o SciSpace em cada fase da revisão sistemática para ganhar agilidade sem abrir mão do rigor metodológico.
TH35 minวิดีโอสอนภาษาไทยที่สาธิตการใช้ SciSpace ทุกขั้นของ SLR เพื่อลดงานซ้ำซากโดยยังรักษาความเข้มงวดทางระเบียบวิธี
AR37 minتعرّف على كيفية توظيف SciSpace في كل مراحل المراجعة المنهجية لتسريع العمل مع الحفاظ على الدقة المنهجية والجودة العلمية.
中文35 min
ES44 minAprenda a agilizar cada etapa de una revisión sistemática con SciSpace sin renunciar al rigor metodológico ni a su propio criterio.
ID41 minPelajari cara mempercepat setiap tahap tinjauan literatur sistematis dengan SciSpace tanpa mengorbankan ketelitian metodologis.
DE39 minErfahren Sie, wie SciSpace jeden Schritt eines systematischen Reviews beschleunigt, während Kriterien und Interpretation bei Ihnen bleiben.
A systematic literature review answers a focused question using a transparent, reproducible method: a protocol, a documented search, explicit inclusion criteria, screening, data extraction and a reporting standard such as PRISMA. It is rigorous, and it is slow. AI can take on much of the repetitive work, from screening titles and abstracts to extracting data into tables, while you keep responsibility for the decisions that make the review trustworthy.
This hub brings together SciSpace Academy's systematic review guided and tutorials, including PRISMA-ready walkthroughs, rapid review and evidence synthesis tutorials, team workflows and tutorials delivered in Arabic, Portuguese, Spanish, Thai, Chinese, Indonesian and German. Start with the tutorial, then use the tutorials for worked examples in your own language.
Many reviewers use AI to support screening and data extraction, provided a human checks the decisions, the process is documented and AI use is reported in the methods section. Check the requirements of your target journal and any reporting guidance for automation tools before you start.
A traditional literature review summarises relevant research to frame a topic. A systematic review follows a pre-defined protocol with a documented search, explicit inclusion and exclusion criteria and a reporting standard such as PRISMA, so that another researcher could reproduce it.