Buy Medical Imagery Data

Discover, sample & purchase the best Medical Imagery Data. Learn more ➔
13 Results
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Automaton AI
Based in India
Automaton AI
We are a full-stack AI company with a mission to democratize Data. Automaton AI is an AI industry expert who is Transforming how businesses see the world wi...
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ShAIp
Based in USA
ShAIp
Shaip offers a human-in-the-loop data platform and services to support all aspects of managing training data for AI/ML development. From data collection, lic...
Built for AI-Training Data
Quality at Scale
Remote Work Expertise
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Knuckle Head
Based in India
Knuckle Head
An end-to-end services on AI Lifecycle for modeling unstructured image, video, and text data. Learn more at https://khc.ai
Dateva - Health Data to Health Insights
Based in Canada
Dateva - Health Data to Health Insights
Dateva - Health Data to Health Insights is a data provider offering Clinical Data, Electronic Health Record (EHR) Data, Medical Imagery Data, Patient Data, a...
Graticule
Based in USA
Graticule
Graticule is a data provider offering Clinical Data and Medical Imagery Data. They are headquartered in United States of America.
Definitive Healthcare
Based in USA
Definitive Healthcare
Definitive Healthcare is a data provider offering Healthcare Provider (HCP) Data, Medical Claims Data, Medical Imagery Data, and Patient Data. They are headq...

The Ultimate Guide to Medical Imagery Data 2021

Learn about medical imagery data analytics, sources, and collection.

What is Medical Imagery Data?

Medical imagery data is any kind of medical image about the body. This ranges from the healthiest bodies to injured limbs even to diseased body parts. Many medical images are taken each day for almost unlimited purposes and these all make up part of different medical imagery datasets. Consider how many doctor’s appointments there are daily around the world where medical imagery is needed - the scope for data collection is huge.

How is Medical Imagery Data collected?

There are many different ways to collect medical imagery data - all of them involving any kind of image taken in a medical capacity. Researchers, healthcare and medical professionals generate medical images using many different pieces of equipment. From simple cameras which can produce external body images or microscopic cameras for internal imaging to more complex equipment used for scans. These scanning machines could be MRIs, ultrasounds, CT scans and, of course, X-Rays among other image processing machines. These are all good sources of medical imagery data and are used in some capacity in pretty much every hospital or medical office around the world.

What are the attributes of Medical Imagery Data?

A medical imagery dataset’s typical attributes will change depending on which type of medical imagery data you are accessing. However, you can expect to get some basic details. Details such as the type of machine and the technique used in the imaging process will normally be included in a medical imagery dataset.
There will also be information relating to the injury or disease that is being recorded by the image as well as what body part or organ is pictured. Some patient information will also be included - what the issue is, the diagnosis that was pronounced and the solution that was given, be it anything from a prescription to a more serious course of treatment. It goes without saying that this patient information will be anonymous.

What is Medical Imagery Data used for?

The most obvious use of medical imagery data is to diagnose and then treat patients. Medical imagery data is used to identify a patient’s problem and from there prescribe the best course of action to ensure their swift recovery.
Alternatively, medical imagery data is used by researchers, academics, medical students and others to study and research different medical conditions. Academics use this imagery to teach their students about the body while students use this data to familiarise themselves with the body and its injuries or diseases before they begin their professional career. Researchers can use medical imagery data to try and identify new problems or new cures by examining the body without need the physical patient in front of them.

How can a user assess the quality of Medical Imagery Data?

The best medical imagery datasets will include high quality and up-to-date medical images which are appropriate for your line of research. Good datasets will also provide key information about the image, such as injury and diagnosis details. However, due to many different types of medical imagery available it is hard to say there is a ‘one size fits all’ approach to the highest quality data. The best datasets will be relevant to your needs.

Who are the best Medical Imagery Data providers?

Finding the right Medical Imagery Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Medical Imagery Data providers that you might want to buy Medical Imagery Data from are Automaton AI, ShAIp, Knuckle Head, Dateva - Health Data to Health Insights, and Graticule.

Where can I buy Medical Imagery Data?

Data providers and vendors listed on Datarade sell Medical Imagery Data products and samples. Popular Medical Imagery Data products and datasets available on our platform are Knuckle Head Medical Imagery Data: DICOM MRI DATA AVAILABLE (PII REMOVED) by Knuckle Head, Shaip - Medical Image Data (2Mn+ medical images, 31 different specialties) by ShAIp, and Data Collection by Shaip: Text, Audio, Image, Video for AI & ML Training by ShAIp.

How can I get Medical Imagery Data?

You can get Medical Imagery Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Medical Imagery Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Medical Imagery Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Medical Imagery Data?

Medical Imagery Data is similar to Electronic Health Record (EHR) Data, Healthcare Provider (HCP) Data, Pharma Data, Patient Data, and Clinical Data. These data categories are commonly used for Deep Learning.

What are the most common use cases for Medical Imagery Data?

The top use cases for Medical Imagery Data are Deep Learning.