AI Resource Library
Practical AI tools for health and research
A curated collection of AI tools relevant to health professionals, researchers, and community organizations. Each tool includes a brief description and practical use case.
Created by Avorin
Tools we've built
Applications developed by Avorin for health, research, and community use.
Showing 26 tools
Versatile AI assistant for drafting, editing, and brainstorming content. Useful for creating health communications and reports.
Use case: Draft community health newsletters, create educational materials, and prepare presentation outlines.
AI-integrated design platform for creating visual content with text generation capabilities.
Use case: Design infographics for health literacy campaigns, create social media graphics for community outreach.
AI-powered writing assistant that checks grammar, tone, and clarity across documents.
Use case: Polish grant proposals, ensure accessibility of public health communications, maintain professional correspondence.
Automated meeting transcription and note-taking tool powered by AI.
Use case: Transcribe research interviews, capture community advisory board discussions, document stakeholder meetings.
AI-powered audio and video editing tool with transcription and screen recording.
Use case: Create educational health videos, edit podcast episodes about research findings, develop training materials.
AI writing tool for generating marketing copy, social posts, and email content quickly.
Use case: Generate social media content for health awareness campaigns, write email outreach for research recruitment.
Creator newsletter and audience platform with AI-assisted email design, segmentation, and automation.
Use case: Publish community health newsletters, grow subscriber audiences, and automate outreach sequences for research recruitment.
AI research assistant that helps find, summarize, and extract data from academic papers.
Use case: Conduct literature reviews for public health research, identify evidence-based interventions, synthesize findings.
AI-powered search engine that extracts findings and synthesizes evidence from scientific literature.
Use case: Quickly find scientific evidence for program design, support evidence-based decision making in health organizations.
Smart citation tool that shows how papers have been cited — supporting, contrasting, or mentioning claims.
Use case: Evaluate the impact and reception of health interventions in the literature, strengthen research proposals.
AI tool specifically designed for academic writing, offering language feedback trained on published papers.
Use case: Improve academic manuscripts, check grant writing style, ensure research reports meet publication standards.
Free AI-powered research tool for finding relevant scientific literature with smart recommendations.
Use case: Discover relevant health research, track new publications in specific fields, build comprehensive bibliographies.
Visual tool that generates interactive graphs of academic papers, helping researchers explore related work and trace the development of a field.
Use case: Map the landscape of health research on a given topic, discover foundational studies, and identify emerging areas of inquiry.
AI research assistant grounded in source material, allowing users to upload defined collections of documents and synthesize insights from them.
Use case: Synthesize findings across a curated set of research articles, generate study guides from program literature, and summarize source-grounded briefs.
Open-source reference manager for organizing sources, managing citations, and streamlining academic and research workflows.
Use case: Organize references for community health studies, manage citations across grant proposals, and collaborate on shared research libraries.
AI-powered data analysis tool that lets you analyze spreadsheets and datasets using natural language.
Use case: Analyze community health survey data, generate visualizations for reports, identify trends in program outcomes.
AI research analysis platform for synthesizing qualitative data from interviews, surveys, and notes.
Use case: Analyze focus group transcripts, code qualitative research data, generate thematic summaries from community input.
Spreadsheet tool with built-in AI that can summarize, classify, and transform data automatically.
Use case: Clean and organize program data, automate reporting tasks, summarize large datasets for stakeholder presentations.
Enterprise-grade AI text analytics platform (formerly MonkeyLearn) that classifies and extracts insights from open-ended feedback and survey data.
Use case: Analyze patient feedback, categorize community survey responses, extract themes from open-ended health assessments.
Integrated AI assistant within Notion for drafting, summarizing, and organizing workspace content.
Use case: Manage research project wikis, organize program documentation, create SOPs for community health programs.
Automation platform that connects apps and workflows, now with AI-powered automation suggestions.
Use case: Automate data collection from forms, sync program data across platforms, streamline reporting workflows.
AI scheduling assistant that automatically finds the best time for tasks, meetings, and habits.
Use case: Manage research team schedules, block time for deep work, coordinate across multiple community partnerships.
AI-powered productivity tool for project management, task lists, and team collaboration.
Use case: Manage community health project timelines, coordinate research team tasks, plan program implementation phases.
AI-powered note-taking app that organizes knowledge and surfaces relevant information automatically.
Use case: Organize research notes, maintain a knowledge base for community programs, connect ideas across projects.
Unified calendar and task management platform that consolidates multiple calendars and to-do lists in one place.
Use case: Coordinate research team meetings across calendar services, manage project deadlines, and balance deep work with collaborative tasks.