In this article, we break down the 5 Fast-Growing AI Healthcare Companies to Watch Right Now. For investors looking for the complete list, you can explore our full report on the 10 Fast-Growing AI Healthcare Companies to Watch Right Now.
5. RadNet Inc. (NASDAQ:RDNT)
RadNet, Inc. (NASDAQ: RDNT) enters the top five by combining an extensive outpatient diagnostic-imaging network with one of the fastest-growing radiology AI businesses in the public market.
The company operates hundreds of imaging centers while developing artificial intelligence and digital-health products through its DeepHealth division. That structure gives it a major real-world advantage over software developers without their own clinical operations.
New AI tools can be tested and deployed inside an existing imaging network before being marketed to hospitals, radiology groups and healthcare systems. The company can also collect practical feedback from clinicians and incorporate it into future software development.
Second-quarter 2026 revenue increased 25% to a record $622.7 million. Adjusted EBITDA climbed 22.7% to approximately $99.7 million.
The Digital Health segment delivered even faster growth. Revenue increased 56.5% to $32.4 million, supported by rising adoption of the company’s AI products and digital-health services.
Its artificial intelligence portfolio can assist with cancer detection, image interpretation, clinical reporting and workflow management. These products address a genuine healthcare problem: medical-imaging volumes are increasing while many markets continue to experience shortages of trained radiologists.
The main limitation is that Digital Health still represents a relatively small portion of total company revenue. The segment also reported lower adjusted EBITDA during the quarter as management invested in sales, marketing, implementation and customer-service teams.
RadNet, Inc. (NASDAQ: RDNT) ranks fifth because it offers a sensible balance between established operations and emerging AI growth. Investors are not relying entirely on an experimental technology, but they still receive exposure to a digital-health division growing considerably faster than the broader company.
If DeepHealth becomes a larger part of the revenue mix, the market may increasingly value the business as an AI-enabled healthcare platform rather than only an operator of diagnostic-imaging centers.
