License High-quality X-Ray Image Datasets for AI/ML Healthcare Innovations
Scalable and Reliable X-Ray Datasets for Advanced AI Healthcare Applications
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X-Ray Image Datasets for AI/ML Healthcare Solutions
X-ray testing is used to verify the internal structure and integrity of the object. X-ray images of a test object can be generated at different positions and different energy levels to diagnose and detect abnormal conditions in a patient’s body.
Shaip provides high-quality X-Ray image datasets essential for research and medical diagnosis. Our datasets include thousands of high-resolution images collected from real patients and processed with state-of-the-art techniques. These datasets are designed to help medical professionals and researchers improve their knowledge and understanding of various medical conditions. With Shaip, you can access reliable and accurate medical data to enhance your research and improve patient outcomes.
| Body Part | Central Asia | Central Asia & Europe | India | Grand Total |
|---|---|---|---|---|
| Ankle Xray | 100 | 100 | ||
| Chest | 1000 | 1000 | ||
| Knee Xray | 100 | 100 | ||
| KUB Plain | 100 | 100 | ||
| Lower Extremities | 500 | 350 | 850 | |
| Pelvis | 500 | 500 | ||
| Upper Extremities | 500 | 350 | 850 |
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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Frequently Asked Questions (FAQ)
1. What are X-ray image datasets?
X-ray image datasets are collections of high-resolution medical images captured during X-ray procedures. These datasets are used for research and training AI/ML models to analyze and diagnose medical conditions.
2. Why are X-ray image datasets important for AI/ML projects?
They provide essential data to train AI models for detecting fractures, chest infections, joint problems, and other abnormalities. These datasets help automate medical diagnostics, improve accuracy, and enhance patient outcomes.
3. What medical conditions can X-ray image datasets help diagnose?
X-ray datasets can assist in diagnosing fractures, chest infections (e.g., pneumonia, tuberculosis), bone and joint abnormalities, and soft tissue injuries. They are also used in detecting specific conditions like arthritis or scoliosis.
4. Which body parts are covered in the datasets?
The datasets include X-ray images of the chest, ankle, knee, pelvis, upper extremities, lower extremities, and KUB (kidney, ureter, and bladder). Specialized datasets for specific body parts are also available.
5. What is the resolution of the images in the dataset?
The datasets consist of high-resolution X-ray images, ensuring precise analysis and training for AI/ML models.
6. In what formats are the datasets available?
X-ray datasets are provided in standard formats such as DICOM, PNG, and JPEG, making them compatible with most AI/ML workflows.
7. Are the X-ray image datasets de-identified?
Yes, all datasets are de-identified to remove any Personally Identifiable Information (PII), ensuring patient confidentiality and data security.
8. Do the datasets comply with HIPAA regulations?
Yes, the datasets are fully compliant with HIPAA and other global privacy standards, ensuring secure and ethical usage.
9. Can the datasets be customized?
Yes, the datasets can be customized to include specific body parts, conditions, or geographic regions to meet project requirements.
10. Are the datasets scalable for large AI/ML projects?
Yes, the datasets are scalable and include thousands of X-ray images, making them suitable for both small and large projects.
11. How can the datasets be integrated into AI workflows?
The datasets are delivered in standard formats with detailed metadata, enabling seamless integration into AI/ML workflows for training, testing, and validation.
12. How is the quality of the datasets ensured?
The datasets undergo rigorous quality assurance processes, including expert annotation and validation, to ensure accuracy and reliability.
13. What is the cost of X-ray image datasets?
The cost depends on dataset size, customization requirements, and project scope. Contact us today for a personalized quote.
14. What are the delivery timelines for these datasets?
Delivery timelines vary based on project size and complexity but are designed to meet your deadlines efficiently.
15. How can X-ray datasets improve healthcare AI?
X-ray datasets enable AI systems to automate diagnostics, improve detection accuracy, and enhance clinical decision-making, ultimately improving patient care.