Radily

What

Radily is a patient-facing AI service that explains medical imaging reports in plain English. Based on the page, it is designed for people who have received a CT, MRI, or X-ray report and want a faster, easier-to-understand summary of the findings, terminology, likely follow-up steps, and questions to discuss with a doctor.

The workflow is straightforward: upload a radiology report, let the system analyze it, and receive a downloadable explanation. Radily appears positioned as a low-cost, privacy-focused interpretation layer for radiology documents rather than a replacement for clinical care; the site states the service is educational only and not a substitute for professional medical advice.

Features

• Radiology report translation: Converts CT, MRI, and X-ray report language into plain English so non-clinicians can understand key findings more easily.
• Report upload for PDFs and images: Accepts common report formats, which reduces friction for patients working from portal downloads or screenshots.
• Medical glossary and definitions: Breaks down technical terminology to help users interpret unfamiliar radiology terms in context.
• Recommended next steps and follow-up timing: Provides triage-level guidance and suggested follow-up actions, which may help users prepare for clinician conversations.
• Questions to ask your doctor: Generates discussion prompts that can make appointments more productive and focused.
• Downloadable summary output: Produces a PDF explanation that users can save or share for later reference; the page also mentions optional AI-generated video explanations.

Helpful Tips

• Treat outputs as educational support: For products in this category, the main value is comprehension and visit preparation, not diagnosis or treatment decisions.
• Verify source scope carefully: Radily specifically refers to radiology reports, so buyers should confirm how well it handles edge cases such as highly specialized imaging language or non-radiology documents.
• Review privacy and retention details: The page states HIPAA compliance, encryption, and deletion after 30 days; teams evaluating similar tools should confirm operational details and data handling policies directly.
• Assess clinical review depth: “Board-certified radiologist-reviewed” is promising, but the page does not fully describe whether review is model validation, ongoing QA, or per-report oversight.
• Use it to improve doctor conversations: The strongest adoption use case is likely helping patients arrive with clearer questions, better terminology awareness, and more confidence about follow-up.

OpenClaw Skills

Within the OpenClaw ecosystem, Radily could likely support document-intelligence and patient guidance workflows centered on uploaded imaging reports. Likely skill patterns include extracting findings, generating plain-language summaries, building follow-up question lists, and routing outputs into a broader care-navigation workflow. The page does not state a native OpenClaw integration, so this should be understood as a likely orchestration use case rather than a confirmed capability.

More broadly, OpenClaw agents could combine a tool like Radily with scheduling, education, and records-management skills to create a more complete patient support experience. For healthcare-adjacent organizations, this could likely turn a static radiology report into a guided workflow: explain the report, identify the stated follow-up timing, prepare doctor questions, and package a patient-friendly summary. That kind of layered automation could improve patient understanding and reduce administrative back-and-forth, while still keeping clinical decision-making with licensed professionals.