Sajed M Khan

Title: Sajed M Khan: Inventor of an AI-Driven Medical Imaging System.

Introduction

Sajed M Khan is an inventor based in Prosper, Texas. His work includes an invention that applies artificial intelligence to the analysis of three-dimensional medical images, with the goal of supporting disease detection across different imaging modalities.

Latest Patents

Khan’s listed patent is titled “AI-Driven System and Methods for 3D Medical Image Disease Detection.” The disclosed approach uses ailment-aware probabilistic masking to preserve diagnostically relevant regions in medical scans. A vision transformer encodes the masked images, while a language model processes related medical reports, mapping both into a shared embedding space.

The system identifies anomalies by comparing patient embeddings over time and by measuring their similarity to known abnormal cases. It also uses reinforcement learning and expert feedback, such as corrected annotations and textual clarifications, to refine embeddings, thresholds, and encoder parameters. Khan has 1 patent.

Career Highlights

Khan is associated with Cornerstone Eagle LLC. His listed patent describes an adaptive framework intended to make medical image analysis more efficient and scalable while incorporating expert input into the diagnostic process.

Collaborations

Aviraj Sinha and Lucas L Stamatis are identified as Khan’s coworkers. The available information does not specify their roles in the patent or whether they collaborated on the invention.

Conclusion

Sajed M Khan’s patent presents an AI-based approach to 3D medical image disease detection that combines image and text analysis, anomaly detection, and expert-guided refinement.