Feature | Artificial Intelligence | July 07, 2020 | By Sanjay Parekh, Ph.D.

Artificial intelligence platforms and marketplaces, akin to mobile app stores, offer a unified approach to deploying AI in medical imaging


As the nascent market for artificial intelligence (AI) in medical imaging develops, healthcare providers are faced with the question of how best to select, purchase and implement the rapidly expanding range of regulatory approved AI-enabled imaging applications and AI algorithms. 

More than 50 vendors have received regulatory clearance for medical imaging AI products and with more than 200 algorithm developers active in the market, product availability will increase many-fold in the coming years. Purchasing algorithms direct from multiple vendors adds an administrative overhead, not to mention the technical challenges of integrating these algorithms in existing systems and clinical workflows. AI platforms and marketplaces, akin to mobile app stores, offer a unified approach to deploying AI in medical imaging. A summary of the advantages and disadvantages for healthcare providers of AI marketplaces is provided in Figure 1.

 

The first marketplace/platform offerings entered the market in the last couple of years, and several new ones were announced at the 2019 annual meeting of the Radiological Society of North America (RSNA 2019). The performance and functionality of these solutions varies between vendors, with some offering what is essentially an online application store, with little or no support for integration, and others offering end-to-end solutions that address many of the engineering (deployment, workflow integration, etc.) and commercial (contracting, billing, etc.) challenges associated with the distribution and implementation of AI.

Selecting a Vendor

Some of the criteria that healthcare providers should consider when selecting a marketplace/platform vendor includes partnerships, applications, regulatory clearance, workflow, functionality, deployment, contracting and support. This selection guide is based on verified contributions from each of the vendors. Signify Research market data analysts anticipate this will be a useful resource for healthcare providers when determining whether to implement a marketplace offering, and then, which vendor to select. You can view the complete flowchart at https://bit.ly/2TR7RC8.

AI marketplaces with the most partners and greatest number of applications and algorithms may, at first sight, appear the obvious to partner with. However, healthcare providers are advised to consider how these will be implemented in clinical practice, and the level of contracting and technical support provided by the marketplace. The selection guide (see above link) also covers a range of other criteria and functionalities that should be considered, and how today’s marketplaces perform against these criteria. For example, when considering workflow integration, providers are advised to consider:

• How images are routed to the AI;

•How algorithms/applications are prioritized;

•How the radiologist engages with the AI results; and

•How the results are populated in the radiologist report. 

 

Other considerations include deployment options and tools for clinicians to develop their own AI solutions.

 

Sanjay M Parekh, Ph.D., is a senior market analyst at Signify Research Ltd. His current research focuses on the artificial intelligence and machine learning in medical imaging market. Signify Research is an independent supplier of market intelligence and consultancy to the global healthcare technology industry. Its major coverage areas include healthcare IT, medical imaging, and digital health. Clients include technology vendors, healthcare providers and payers, management consultants and investors. The company is headquartered at Cranfield, U.K.


Related Content

News | Breast Imaging

Nov. 17, 2025 — RadNet, Inc. and its wholly owned subsidiary, DeepHealth have announced results from the largest real ...

Time November 17, 2025
arrow
News | Radiology Business

Nov. 13, 2025 — Covera Health recently announced that Advanced Radiology Services (ARS) has joined its national Quality ...

Time November 17, 2025
arrow
News | Radiology Imaging

Nov. 13, 2025 — Medical imaging AI company Avicenna.AI has launched AVI, a new platform that delivers AI results ...

Time November 13, 2025
arrow
News | Radiology Business

Nov. 12, 2025 — Siemens has announced plans to deconsolidate its remaining stake in Siemens Healthineers (currently ...

Time November 13, 2025
arrow
News | Artificial Intelligence

Nov. 6 — 2025, Gradient Health and DataFirst have announced a strategic partnership designed to bridge the gap between ...

Time November 12, 2025
arrow
News | RSNA 2025

Nov. 7, 2025 — Coreline Soft will introduce its chest AI platform AVIEW 2.0 at RSNA 2025 (Nov. 30 – Dec. 4, Chicago) ...

Time November 10, 2025
arrow
News | Teleradiology

Nov. 4, 2025 — Virtual Radiologic (vRad) recently announced the successful commercialization of The vRad Platform — a ...

Time November 10, 2025
arrow
Feature | Teleradiology | Kyle Hardner

Once viewed as a solution for after-hours coverage, teleradiology is rapidly expanding into a critical part of radiology ...

Time November 06, 2025
arrow
News | RSNA 2025

Nov. 4, 2025 — Altamont Software, a provider of enterprise medical connectivity solutions, has announced the ...

Time November 05, 2025
arrow
Feature | Archive Cloud Storage | Shujah Dasgupta, Vice President, CitiusTech

Almost two-thirds of health systems are already using (or plan to use) the cloud for storing and viewing medical images ...

Time October 30, 2025
arrow
Subscribe Now