Sold by: InfoBay AI Ltd.
Deployed on AWS
Sample repository from a large-scale clinical reports corpus containing radiology findings, pathology reports, ultrasound reports, echocardiography reports, and diagnostic observations for healthcare AI, clinical NLP, and medical research.
Overview
Clinical Findings & Diagnostic Reports Dataset Collection
Overview
This dataset collection is a large-scale repository of clinical findings, diagnostic reports, and physician-generated medical documentation designed to support healthcare AI, clinical NLP, medical language models, and healthcare analytics applications.
The collection includes radiology findings, pathology reports, echocardiography reports, ultrasound reports, and diagnostic observations generated during routine clinical workflows. These datasets provide valuable clinical narratives, diagnostic interpretations, observations, impressions, and recommendations that can be used for medical AI development and healthcare research.
The corpus captures real-world clinical documentation across multiple specialties and diagnostic modalities, enabling the development of AI systems capable of understanding complex medical language and clinical reasoning.
Included Dataset Types
- MRI Findings Reports
- CT Findings Reports
- Pathology Reports
- Echocardiography Reports
- Ultrasound Findings Reports
Key Features
- Clinical findings and observations
- Diagnostic impressions and recommendations
- Physician-generated reports
- Structured and unstructured medical text
- Multi-specialty healthcare coverage
- Real-world clinical documentation
- Suitable for healthcare AI and NLP workflows
Applications
- Clinical NLP
- Medical Language Models
- Healthcare AI
- Medical Text Analytics
- Clinical Documentation Intelligence
- Diagnostic Support Systems
- Medical Knowledge Extraction
- Healthcare Research
- Clinical Decision Support
- Medical Information Retrieval
Metadata Coverage
Depending on the dataset, records may include:
- Patient Demographics
- Clinical Observations
- Findings
- Diagnostic Impressions
- Recommendations
- Pathology Assessments
- Radiology Interpretations
- Ultrasound Findings
- Cardiac Assessments
Licensing & Access
This listing contains sample data intended for research, evaluation, and educational purposes. Enterprise licensing and access to the complete dataset collection are available upon request.
InfoBay AI
Email: datareq@infobay.ai Phone: +91 8303174762
Highlights
- Comprehensive collection of radiology findings, pathology reports, ultrasound reports, echocardiography reports, and diagnostic observations across multiple clinical specialties.
- Includes structured and unstructured clinical findings, impressions, observations, diagnostic summaries, and physician-generated medical documentation.
- Designed for clinical NLP, medical language models, healthcare AI, clinical documentation analysis, diagnostic intelligence, and medical research applications.
Details
Sold by
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimensions summary
This listing uses a single pricing dimension: Product Access, measured in units. It is offered free, so subscribing grants you access without a usage charge or commitment term. There are no tiers, instance sizes, or usage add-ons to compare. The dataset itself covers clinical findings and diagnostic reports, including paired imaging and report records across multiple medical specialties. Because pricing has one flat access dimension, actual dataset scoping, sampling, and licensing terms are handled separately through a direct engagement with the vendor rather than through additional Marketplace pricing options.
Top-of-mind questions for buyers
One unit grants subscription access to the dataset collection at no charge. It is a single access dimension, not a per-record, per-image, or per-patient meter. Access does not by itself set the scope of data you receive. Actual dataset scoping and licensing terms are agreed directly with the vendor.
Scope and licensing are handled through a direct engagement, not the Marketplace price. Each engagement starts with a quality baseline against your target specialties and modalities. Samples are provided under NDA with institutional review before a licensing scope is agreed. Records carry modality, specialty, and source metadata for review.
The collection pairs imaging with report and clinical records across multiple medical specialties, including MRI, CT, X-ray, dermatology, oncology, and cardiology. It also includes longitudinal treatment-timeline records. Records are de-identified before delivery. Compliance documentation is structured for review under several regulatory frameworks.
infobay.ai+1
Helpful?
Vendor refund policy
No Refunds
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Medical Findings & Diagnostic Reports Dataset | All historical revisions | All future revisions | Not included | Not included |
Similar products
Sample repository from a large-scale medical imaging and radiology dataset collection containing MRI, CT, X-Ray, OPG, and Ultrasound scans with associated findings for healthcare AI, computer vision, medical imaging analysis, and clinical research.
Mask or Obfuscate Personal Health Information (PHI) in English clinical notes.
Transform clinical text into structured data with NLP, extracting entities, assigning statuses, and linking relationships
Mask or Obfuscate Personal Health Information (PHI) in English clinical notes.
This pipeline can extract clinical conditions, and map the clinical conditions to their respective ICD-10-CM codes.
Extracts Test entities from clinical texts and maps them to their corresponding LOINC codes .