Castle Rock, CO, United States of America

David Parish

USPTO Granted Patents = 4 

Average Co-Inventor Count = 2.5

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • Castlerock, CO (US) (2019 - 2023)
  • Buffalo, NY (US) (2024)

Company Filing History:


Years Active: 2019-2024

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4 patents (USPTO):Explore Patents

Title: An Insight into Inventor David Michael Parish

Introduction

David Michael Parish, an innovative inventor based in Buffalo, NY, has made significant strides in the field of health diagnostics through technology. With one patent to his name, he showcases his ability to combine deep learning with sound analysis to improve health assessment methods.

Latest Patents

David's patent, titled "System and method for generating diagnostic health information using deep learning and sound understanding," presents a groundbreaking approach to generating health diagnostic information from audio recordings. The technology involves a computing system that includes a machine-learned health model. This model processes patient audio recordings to output valuable diagnostic scores. The comprehensive method enables healthcare providers to obtain patient audio recordings and utilize advanced algorithms to derive meaningful health insights.

Career Highlights

Currently, David is employed at Google Inc., where he continues to develop innovative solutions that intersect technology and healthcare. His work emphasizes the potential of artificial intelligence in medical diagnostics, showcasing his forward-thinking approach to modern challenges in the healthcare landscape.

Collaborations

While working at Google, David collaborates with talented individuals such as Katherine Chou and Michael Dwight Howell. These partnerships foster a creative environment where new ideas can flourish, ultimately leading to the development of impactful technologies in health diagnostics.

Conclusion

David Michael Parish exemplifies the spirit of innovation through his work and patent achievements. His dedication to enhancing health information systems through deep learning and audio technology represents a promising advancement in diagnostic methodologies. As he continues to influence the field, his contributions are sure to make a lasting impact on healthcare assessment and patient outcomes.

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