Image · Medical · Multimodal / Healthcare
Clinical Findings & Diagnostic Reports Dataset - 109K+ Patients, 149K+ Reports, 6 Radiology & Pathology Categories | Electronic Health Record (EHR)
Advertised by providerLicensing rights not independently verifiedPrice on request
Overview
Clinical Findings & Diagnostic Reports Dataset - 109K+ Patients, 149K+ Reports, 6 Radiology & Pathology Categories | Electronic Health Record (EHR) is a multimodal dataset. Typical applications include medical imaging and clinical NLP. Relevant sectors: Healthcare, Education and AI & Machine Learning. The listing mentions classification labels. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Listing mentions classification labels.
Clinical Finding & Diagnostic Reports The Clinical Finding & Diagnostic Reports dataset is a comprehensive collection of anonymized diagnostic reports spanning multiple medical specialties, including CT Scans, MRI Scans, X-ray, Ultrasound (USG), ECHO, and Pathology. The dataset consists of structured PDF-based clinical reports containing diagnostic findings and patient-related metadata while excluding medical images, making it ideal for text-based healthcare AI applications. Each record is categorized by imaging modality or clinical specialty and includes metadata such as document type, clinical category, patient count, document format, clinical document count, and available patient attributes (where applicable). The dataset is designed to support the development of AI systems that require high-quality clinical documentation for language understanding and medical reasoning. Key Features Anonymized clinical finding and diagnostic reports Coverage across CT, MRI, X-ray, USG, ECHO, and Pathology PDF-based clinical documents with structured metadata Patient-level metadata such as age, gender, and other available demographic attributes Organized by clinical modality and document type Suitable for large-scale healthcare AI workflows Use Cases Medical Large Language Model (LLM) training Medical NLP and information extraction Clinical document understanding Diagnostic report classification Clinical entity recognition and annotation Healthcare AI and machine learning Clinical decision
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The Medical Imaging & Radiology Dataset by the provider is a large-scale collection of raw and findings-linked medical imaging data, spanning over 668,000 patients and…
- Language
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- Volume
- 112M images
- Domain
- Healthcare +2
- Use case
- Evaluation & benchmarking
Price on request
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