Mountain View, CA, United States of America

David F Steiner

USPTO Granted Patents = 1 

Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):

Title: Innovations in Prostate Cancer Prediction by David F Steiner

Introduction

David F Steiner is an accomplished inventor based in Mountain View, CA (US). He has made significant contributions to the field of artificial intelligence, particularly in the medical domain. His work focuses on improving the prediction of prostate cancer outcomes through innovative methodologies.

Latest Patents

David F Steiner holds a patent for an innovative method titled "Artificial intelligence prediction of prostate cancer outcomes." This method involves receiving an image of prostate tissue and assigning Gleason pattern values to various regions within the image using an artificial intelligence Gleason grading model. The model is trained to identify Gleason patterns on a patch-by-patch basis in a prostate tissue image. It determines the relative areal proportions of the Gleason patterns within the image and assigns at least one of a risk score or risk group value based on these proportions. The output includes at least one of the risk score or the risk group value, showcasing the potential of AI in enhancing cancer diagnostics.

Career Highlights

David F Steiner is currently associated with Verily Life Sciences LLC, where he continues to push the boundaries of innovation in healthcare technology. His work is pivotal in integrating artificial intelligence with medical imaging to improve patient outcomes.

Collaborations

David collaborates with notable colleagues such as Craig Mermel and Yun Liu, who contribute to the advancement of research and development in their respective fields.

Conclusion

David F Steiner's innovative approach to predicting prostate cancer outcomes through artificial intelligence exemplifies the transformative potential of technology in medicine. His contributions are paving the way for more accurate diagnostics and improved patient care.

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