Hey everyone - Mohamed Khalifa and Adam Skrocki here!☀️

TL;DR: We’re building the AI copilot for radiologists. While reading images, we allow radiologists to dictate what they see, and RadMate AI will generate and proofread reports for them.

The problem

Radiologists spend most of their day reading patient images and dictating reports based on the images. As patient access to imaging continues to rise, radiologists face escalating pressure to produce detailed reports quickly.

However, the software they use hasn’t changed in over a decade, so radiologists are no longer well-equipped to meet rising demand.

1. Radiologists dictate over 30% more words than they need to, which can lead to fewer reports, burnout, and lower quality reporting.
2. Over 20% of radiology reports have errors in them. Which can lead to treatment delays, poor outcomes, higher healthcare costs, lost revenue, and operational inefficiencies.

Our solution

LLMs provide an opportunity to revamp the way radiologists report. We’ve created a platform with an AI copilot that decreases stress on radiologists and increases accuracy by:

1. Minimizing the words radiologists have to say.
2. Reducing the number of clicks required for report generation.
3. Proofreading reports to reduce errors.

The founding team

Mohamed and Adam are technical co-founders who met while studying Computer Science at Cornell University. Before starting RadMate AI to solve the problems his dad faced as a radiologist, Adam worked at Palantir on the initial launch of Palantir’s Al Platform. Mohamed has experience at AWS, where his goal was to help enterprises innovate on the cloud, and PathAl, where he built software to improve pathology. We’re excited to take our engineering expertise and our personal ties to healthcare to address the issues radiologists face today.

Our ask 🙏

If you're a radiologist or know of any, we'd love to connect at founders@radmate.ai!