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PubHive Navigator: Literature Workflow Automation
PubHive Generative AI Research Assistant
Experience PubHive Generative AI Research Assistant. Powered by advanced AI, it effortlessly identifies relevant studies, extracts key insights, and provides personalized recommendations. Streamline your workflow and make informed decisions faster - all within an intuitive platform.
Unlock Smarter Workflows with PubHive Gen-AI
Article Summarization
Effectively produce concise and impactful summaries that highlight essential information, enabling quick evaluation of articles. This method with minimal effort.enhances time management, boosts productivity, and fosters a deeper understanding
Semantic Search
Semantic search enhances research precision by easily identifying the most relevant studies. This method enables rapid access to key insights, optimizing research efficiency and productivity.
Name-Entity Recognition
Revolutionize your research process with an AI tool that instantly identifies and extracts key entities from text, eliminating the need for manual extraction. This technology enhances efficiency, allowing for deeper insights and streamlined analysis.
Duplication Detection Engine
Efficiently identify duplicate key references with our advanced Omni-Loop AI engine, enhancing accuracy and optimizing your research workflow.
Ontology and Taxonomy
Enhance reference curation with custom ontology management for precise entity detection, reducing irrelevant data, and significantly improving performance and accuracy.
Entity Extraction
Streamline your reference screening with automated data extraction and classification, designed with an intuitive interface to make filtering results effortless. This solution enhances efficiency, allowing you to focus on the most critical aspects of your work.
Prioritization Engine
Leverages advanced algorithms and data analysis to rank articles according to customised criteria, boosting efficiency and improving decision-making.
Rule-based Classification
Utilizes predefined rules to categorize data, providing full control over the classification process and ensuring consistent, reliable outcomes.
Auto Review Engine
Employs advanced algorithms and natural language processing techniques to swiftly identify relevant articles, enabling rapid screening of large volumes of literature.
Generative AI
Revolutionize the way researchers work by providing new and innovative ways to collect, analyse, and interpret data to enhance productivity and efficiency.
PICO Parse
Automatically extract and analyze the PICO components from literature to streamline the initial phases of systematic reviews or meta-analyses.
RCT Classifier
Automatically identify randomized controlled trials (RCTs) from a large dataset of literature to reduce the risk of missing essential studies.
AI-PRISMA Generator
AI PRISMA automates PRISMA-aligned summaries from scientific studies, capturing study design, population, interventions, outcomes, and results in a consistent format. By reducing manual effort and flagging missing data, it ensures transparent, accurate, and workflow-aligned evidence review.
Medical Science Liaison (MSL) Support
PubHive’s intelligent automation for MSLs transforms published scientific literature into structured, compliant insights, capturing key study context, efficacy outcomes, & relevant safety observations. It enables faster preparation and more consistent, high-value scientific engagement with HCPs & KOLs.
AI Insight
PubHive’s advanced insight capability delivers evidence-based analysis from published scientific studies, clarifying study design, evidence maturity, and clinically relevant results. By highlighting data gaps and key implications, it enables credible, compliant, and data-driven scientific discussions.
ICSR Review
AI ICSR Screening rapidly evaluates scientific literature to determine potential ICSR relevance with a clear Yes/No outcome. It applies standard ICSR qualification criteria using article-derived evidence only, delivering consistent, transparent, and audit-ready screening decisions at scale.