General Theory of Information, Digital Genome, Large Language Models, and Medical Knowledge-Driven Digital Assistant
Recent advances in large language models, our understanding of the general theory of information, and the availability of new approaches to building self-regulating domain-specific software are driving the creation of next-generation knowledge-driven digital assistants to improve the efficiency, res...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Computer Sciences & Mathematics Forum |
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| Online Access: | https://www.mdpi.com/2813-0324/8/1/70 |
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| _version_ | 1850090274314780672 |
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| author | W. Patrick Kelly Francesco Coccaro Rao Mikkilineni |
| author_facet | W. Patrick Kelly Francesco Coccaro Rao Mikkilineni |
| author_sort | W. Patrick Kelly |
| collection | DOAJ |
| description | Recent advances in large language models, our understanding of the general theory of information, and the availability of new approaches to building self-regulating domain-specific software are driving the creation of next-generation knowledge-driven digital assistants to improve the efficiency, resiliency, and scalability of various business processes while fulfilling the functional requirements addressing a specific business problem. Here, we describe the implementation of a medical-knowledge-based digital assistant that uses medical knowledge derived from various sources including the large language models and assists the early medical diagnosis process by reducing the knowledge gap between the patient and medical professionals involved in the process. |
| format | Article |
| id | doaj-art-fa0edb6ac1274b5f8b4fdcef32b9954c |
| institution | DOAJ |
| issn | 2813-0324 |
| language | English |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computer Sciences & Mathematics Forum |
| spelling | doaj-art-fa0edb6ac1274b5f8b4fdcef32b9954c2025-08-20T02:42:36ZengMDPI AGComputer Sciences & Mathematics Forum2813-03242023-08-01817010.3390/cmsf2023008070General Theory of Information, Digital Genome, Large Language Models, and Medical Knowledge-Driven Digital AssistantW. Patrick Kelly0Francesco Coccaro1Rao Mikkilineni2Barowsky School of Business, Dominican University of California, San Rafael, CA 94901, USABarowsky School of Business, Dominican University of California, San Rafael, CA 94901, USAAgeno School of Business, Golden Gate University, San Francisco, CA 94105, USARecent advances in large language models, our understanding of the general theory of information, and the availability of new approaches to building self-regulating domain-specific software are driving the creation of next-generation knowledge-driven digital assistants to improve the efficiency, resiliency, and scalability of various business processes while fulfilling the functional requirements addressing a specific business problem. Here, we describe the implementation of a medical-knowledge-based digital assistant that uses medical knowledge derived from various sources including the large language models and assists the early medical diagnosis process by reducing the knowledge gap between the patient and medical professionals involved in the process.https://www.mdpi.com/2813-0324/8/1/70digital genomegeneral theory of informationknowledge-based digital assistantartificial intelligencelarge language models |
| spellingShingle | W. Patrick Kelly Francesco Coccaro Rao Mikkilineni General Theory of Information, Digital Genome, Large Language Models, and Medical Knowledge-Driven Digital Assistant Computer Sciences & Mathematics Forum digital genome general theory of information knowledge-based digital assistant artificial intelligence large language models |
| title | General Theory of Information, Digital Genome, Large Language Models, and Medical Knowledge-Driven Digital Assistant |
| title_full | General Theory of Information, Digital Genome, Large Language Models, and Medical Knowledge-Driven Digital Assistant |
| title_fullStr | General Theory of Information, Digital Genome, Large Language Models, and Medical Knowledge-Driven Digital Assistant |
| title_full_unstemmed | General Theory of Information, Digital Genome, Large Language Models, and Medical Knowledge-Driven Digital Assistant |
| title_short | General Theory of Information, Digital Genome, Large Language Models, and Medical Knowledge-Driven Digital Assistant |
| title_sort | general theory of information digital genome large language models and medical knowledge driven digital assistant |
| topic | digital genome general theory of information knowledge-based digital assistant artificial intelligence large language models |
| url | https://www.mdpi.com/2813-0324/8/1/70 |
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