Company Filing History:
Years Active: 2019-2021
Title: Herbert Barrientos Carvajal: Innovator in Medical Artificial Intelligence
Introduction
Herbert Barrientos Carvajal is a notable inventor based in Munich, Germany. He has made significant contributions to the field of medical artificial intelligence, particularly in the area of data extraction for diagnosis. With a total of 2 patents, his work is paving the way for advancements in medical technology.
Latest Patents
One of Herbert's latest patents focuses on utilizing artificial intelligence for data extraction. This innovative approach involves storing solved diagnosis case data using a redundant discrimination net as a dynamic memory. The stored data is then incorporated to form scientific descriptions within a medical knowledge base and heuristics within an empirical knowledge base. Diagnosis hypotheses are generated based on an initial symptom description received from an end user, along with the dynamic memory and the medical knowledge base. A subset of these hypotheses is created to form one or more solution cases, which are then presented to a subject matter expert. The expert's feedback leads to identifying a diagnosis success or failure, resulting in an assessed solution case. This assessed case is converted into experiences, which are inputted into the dynamic memory. Finally, data containing the assessed solution case is transmitted to a medical artificial intelligence analytics application.
Career Highlights
Herbert Barrientos Carvajal is currently employed at International Business Machines Corporation (IBM), where he continues to innovate in the field of artificial intelligence. His work is characterized by a strong focus on improving diagnostic processes through advanced technology.
Collaborations
Herbert collaborates with Agueda Martinez Hernandez Magro, contributing to the development of cutting-edge solutions in medical AI.
Conclusion
Herbert Barrientos Carvajal is a prominent figure in the realm of medical artificial intelligence, with a focus on enhancing diagnostic capabilities through innovative data extraction methods. His contributions are significant in shaping the future of medical technology.
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