What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in medical image annotation tool category. Our data sources in medical image annotation tool category include;
Medical image annotation tools help healthcare organizations label medical imaging data such as X-rays, CT scans, MRI, and ultrasound. Annotated medical images are used for health screening and diagnostics using machine learning algorithms.
The products in this category provide tools for labeling medical images. For general-purpose tools and services, check our data annotation services list.
If you’d like to learn about the ecosystem consisting of Medical Image Annotation Tool and others, feel free to check AIMultiple Data.
AIMultiple is data driven. Evaluate 7 services based on
comprehensive, transparent and objective AIMultiple scores.
For any of our scores, click the information icon to learn how it is
calculated based on objective data.
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We use the data sources on the side for ranking solutions and awarding badges in medical image annotation tool category. Our data sources in medical image annotation tool category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
Labelbox
V7
BasicAI
Ango Service | Ango Hub | Ango Hub Marketplace for Medical
Alegion
Taking into account the latest metrics outlined below, these are the current medical image annotation tool market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
Labelbox
V7
BasicAI
Ango Service | Ango Hub | Ango Hub Marketplace for Medical
Kili Technology
These are the number of queries on search engines which include the brand name of the solution. Compared to other Data categories, Medical Image Annotation Tool is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 100%, 24% more than the average of search queries in this area.
92 employees work for a typical company in this solution category which is 71 more than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 7 companies with >10 employees are offering medical image annotation tool. Top 3 products are developed by companies with a total of 692 employees. The largest company building medical image annotation tool is Cogito Tech LLC with more than 400 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
Labelbox
V7
Alegion
BasicAI
Ango Service | Ango Hub | Ango Hub Marketplace for Medical
We have analyzed reviews published in the last months. These were published in 4 review platforms as well as vendor websites where the vendor had provided a testimonial from a client whom we could connect to a real person.
These solutions have the best combination of high ratings from reviews and number of reviews when we take into account all their recent reviews.
This data is collected from customer reviews for all Medical Image Annotation Tool companies. The most positive word describing Medical Image Annotation Tool is “Easy to use” that is used in 7% of the reviews. The most negative one is “Difficult” with which is used in 1.00% of all the Medical Image Annotation Tool reviews.
According to customer reviews, most common company size for medical image annotation tool customers is 1-50 Employees. Customers with 1-50 Employees make up 50% of medical image annotation tool customers. For an average Data solution, customers with 1-50 Employees make up 46% of total customers.
These scores are the average scores collected from customer reviews for all Medical Image Annotation Tools. Medical Image Annotation Tools is most positively evaluated in terms of "Customer Service" but falls behind in "Overall".
This category was searched on average for 32 times per month on search engines in 2022. This number has increased to 40 in 2023. If we compare with other data solutions, a typical solution was searched 1.3k times in 2022 and this decreased to 1k in 2023.