Blue Bell, PA, United States of America

Emin Agassi

USPTO Granted Patents = 12 

Average Co-Inventor Count = 2.5

ph-index = 3

Forward Citations = 20(Granted Patents)


Company Filing History:


Years Active: 2020-2024

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12 patents (USPTO):

Title: Emin Agassi: Innovator in Natural Language Processing

Introduction

Emin Agassi is a prominent inventor based in Blue Bell, Pennsylvania, known for his significant contributions to the field of natural language processing. With a total of 12 patents to his name, Agassi has been at the forefront of developing innovative solutions that enhance the understanding of voice conversations in clinical settings.

Latest Patents

Agassi's latest patents focus on de-duplication and contextually intelligent recommendations based on natural language understanding of conversational sources. One of his notable inventions involves methods and systems for natural language processing and understanding of voice conversations. This technology extracts clinical conditions from voice interactions, utilizing a clinical ontology to identify and classify relevant clinical concepts for documentation. Additionally, he has developed semantically augmented clinical speech processing methods that identify intents from voice inputs and map them to standard terminologies. This innovation aids in retrieving pertinent information from a patient's electronic health record.

Career Highlights

Emin Agassi currently works at Cerner Innovation, Inc., where he continues to push the boundaries of technology in healthcare. His work has significantly impacted how clinical information is processed and utilized, improving patient care through advanced data analysis.

Collaborations

Agassi collaborates with talented individuals such as Natalee Agassi and Tanuj Gupta, contributing to a dynamic team focused on innovation in healthcare technology.

Conclusion

Emin Agassi's work in natural language processing exemplifies the intersection of technology and healthcare, showcasing how innovative solutions can transform clinical practices. His contributions continue to pave the way for advancements in understanding voice interactions in medical environments.

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