G2

Kishor G.

Cloud Engineer

Mid-Market (51-1000 emp.)

10/23/2026

"AI-Powered Medical Imaging That Supports Earlier Detection"

4/5

What do you like best about Lunit?

What I like most about Lunit is how it uses AI to help doctors analyze medical images and identify potentially suspicious findings. I find it especially useful that the technology can highlight areas of concern in chest X-rays and mammograms, helping radiologists focus their attention where it may be needed most. I also like that it supports clinical decision-making rather than replacing the doctor's judgment. The practical use of AI to support earlier cancer detection is what stands out to me. Review collected by and hosted on G2.com.

What do you dislike about Lunit?

One area that could be improved is making AI-generated findings easier to understand and verify. In medical imaging, doctors need to know why a particular area has been flagged and how much confidence they should place in the result. Integration with existing hospital systems can also be challenging, depending on the setup. Clearer explanations, smoother integration, and more practical training resources would make the technology easier to adopt in everyday clinical practice. Review collected by and hosted on G2.com.

What problems is Lunit solving and how is that benefiting you?

Lunit helps address the challenge of identifying suspicious findings in medical images, particularly in chest X-rays and mammograms. Its AI can highlight areas that may need closer attention, helping radiologists review scans more efficiently. The main benefit I see is the potential to support earlier detection and reduce the chance of overlooking important findings. I think it works best as a support tool that helps doctors make informed decisions while keeping clinical judgment at the center. Review collected by and hosted on G2.com.