
FriendlyData
Infer SQL queries from plain-text questions and table headers.

CT Read
ReadYourLab
MedLabReport
Read Your Scan
Understand CT, MRI, X-ray, ultrasound, DICOM scans, and radiology reports with clear, patient-friendly AI explanations.

Which is more popular?
Based on our record, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | github.com | myresultlab.com |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from the United Kingdom · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of mlsql yet.
MyResultLab is an AI-powered medical imaging and radiology report explanation platform operated by SOLRISE LTD. It helps patients and families understand CT, MRI, X-ray, ultrasound, DICOM scans, and written radiology reports in clear language. The platform provides structured summaries, explains...
What each product offers, as listed by its team.


No features have been listed yet.
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of MyResultLab yet.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing mlsql and MyResultLab.
MyResultLab's answer:
MyResultLab combines medical imaging and written-report support in one patient-facing workflow. Users can upload CT, MRI, X-ray, ultrasound, DICOM scans, or radiology report text and receive a structured explanation in clear language. The product explains terminology, highlights findings and uncertainty, supports follow-up questions, and includes explicit safety boundaries so the output is used for education and appointment preparation rather than diagnosis.
MyResultLab's answer:
People may choose MyResultLab when they want a clear, patient-friendly explanation of both medical images and radiology report text in one web application. It supports multiple imaging types, provides structured summaries and follow-up questions, offers English and Chinese interfaces, and uses transparent one-time pricing rather than a recurring subscription. MyResultLab also emphasizes uncertainty, limitations, and the need to discuss results with a qualified clinician.
MyResultLab's answer:
MyResultLab is designed primarily for patients, families, and caregivers who have a CT, MRI, X-ray, ultrasound, DICOM scan, or radiology report and want a clearer explanation before or after a clinical appointment. It is especially useful for people who find medical terminology difficult and want to prepare informed questions for their radiologist or treating clinician. The service is informational and is not intended to replace professional diagnosis or medical advice.
MyResultLab's answer:
MyResultLab was founded by Charles Guo after seeing how difficult radiology reports and medical imaging terminology can be for patients and families. His background in enterprise software and applied AI led to a simple goal: make complex CT, MRI, X-ray, ultrasound, and DICOM information easier to understand without pretending that AI can replace a clinician. The product was built around clear explanations, explicit uncertainty, safety guidance, and practical questions patients can bring to their healthcare professionals.
MyResultLab's answer:
MyResultLab is built as a modern TypeScript web application using React 19 and TanStack Start, with Vite and Nitro for the application and server runtime. It uses Drizzle ORM for database access, better-auth for authentication, and secure cloud storage for uploaded files. Medical-image workflows support DICOM processing and browser-based visualization, while the AI layer can work with specialized multimodal and language models for scan analysis, report explanation, structured summaries, and follow-up questions.
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Recommendations tracked on public social media and blogs since March 2021.


I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: over 4 years ago
I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago
Tracking MyResultLab since Aug 2026.
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