Medical Imaging Datasets
High-quality, diverse radiology to cardiology datasets designed to power diagnostic AI models, accelerate MedTech development, and support advanced clinical research.
Medical Imaging & Signal Datasets for AI/ML Healthcare Solutions
Shaip offers a comprehensive portfolio of medical imaging and signal datasets designed to power next-generation AI/ML solutions in healthcare. From radiology to cardiology, our datasets help you build, train, and validate robust models for diagnosis, triage, and decision support.
Our collections are sourced from real-world clinical environments and curated using stringent quality standards. Each dataset consists of high-resolution images or signals, carefully annotated and processed with advanced techniques to ensure consistency, accuracy, and usability for AI/ML workflows. Whether you are developing algorithms for disease detection, workflow automation, or clinical research, Shaip provides the reliable data foundation you need.
With Shaip, healthcare organizations, MedTech companies, and research institutions can accelerate innovation, improve diagnostic accuracy, and ultimately enhance patient outcomes by leveraging diverse, high-quality datasets across multiple modalities.
| Dataset Type | Volume | Geography | Format |
|---|---|---|---|
| Dataset TypeUltrasound (US) | Volume~2M+ studies | GeographyUSA, Brazil, Germany, India | FormatDICOM |
| Dataset TypeMammography (MG) | Volume~1M+ studies | GeographyUSA, Brazil, Germany, India | FormatDICOM |
| Dataset TypeOther / Non-specified Modality | Volume~500K studies | GeographyUSA, Brazil, Germany, India | FormatDICOM |
| Dataset TypePortable Bedside UltrasoundVascular Duplex, Abdominal & General | Volume~317K studies | GeographyUSA (11 states, Mid-Atlantic & Northeast) | FormatDICOM + JSON/CSV |
| Dataset TypeEKG | Volume~138K studies | GeographyUSA (11 states, Mid-Atlantic & Northeast) | FormatDICOM + JSON/CSV |
| Dataset TypeNuclear Medicine (NM) | Volume~100K studies | GeographyUSA, Brazil, Germany, India | FormatDICOM |
| Dataset TypeAudio / Additional Ultrasound (AU) | Volume~100K studies | GeographyUSA, Brazil, Germany, India | FormatDICOM |
| Dataset TypeEchocardiography | Volume~34K studies | GeographyUSA (11 states, Mid-Atlantic & Northeast) | FormatDICOM + JSON/CSV |
| Dataset TypeUltrasound | Volume1K studies | GeographyMiddle East | FormatJPG / JPEG |
| Dataset TypeMammography | Volume1K studies | GeographyMiddle East | Format- |
| Dataset TypeDe-identified DICOM Imaging Dataset | Volume- | Geography- | FormatDCM |
| Dataset TypeDermatology Data BankClinical + histopathology, incl. Fitzpatrick IV–VI skin tones | Volume4K+ patients | GeographyIndia (South Asian) | FormatDe-identified JPEG/DICOM, structured records, pathology reports |
| Dataset TypeDermatology (Dermoscopy) | Volume500 studies | GeographyMiddle East | Format- |
| Dataset TypeDermatology (Clinical) | Volume500 studies | GeographyMiddle East | Format- |
| Dataset TypeAnonymized Dermatology Image Dataset | Volume- | Geography- | FormatJPG |
| Dataset TypeFundus Imaging | Volume1K studies | GeographyMiddle East | Format- |
| Dataset TypeRetinal Photography | Volume1K studies | GeographyMiddle East | Format- |
| Dataset TypeHistopathology | Volume500 studies | GeographyMiddle East | Format- |
| Dataset TypeDental Practice RecordsCoded procedures, treatment history, claims, appointment & recall patterns | Volume181M+ patients | GeographyUSA, Canada | FormatCSV, PDF, X-ray |
| Dataset TypeDental Panoramic DCM | Volume30K studies | GeographyMiddle East | FormatDCM |
| Dataset TypeDental Periapical | Volume30K studies | GeographyMiddle East | Format- |
| Dataset TypeDental Annotated Images | Volume18K studies | GeographyFrance | FormatJPG / JSON |
| Dataset TypeDental Panoramic JPEG | Volume- | GeographyMiddle East | FormatJPEG |
| Dataset TypeAnonymized Blood Report | Volume- | Geography- | FormatPDF |
We deal with all types of Data Licensing i.e., text, audio, video, or image. The datasets consist of Medical datasets for ML: Physician Dictation Dataset, Physician Clinical Notes, Medical Conversation Dataset, Medical Transcription Dataset, Doctor-Patient Conversation, Medical Text Data, Medical Images – CT Scan, MRI, Ultra Sound (collected basis custom requirements).
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