dc.contributor.authorDubinsky, Alexey
dc.date.accessioned2023-09-20T08:44:53Z
dc.date.available2023-09-20T08:44:53Z
dc.date.issued2023-07-13
dc.identifier.urihttp://hdl.handle.net/20.500.12226/1795
dc.description.abstractThe mail hot topic in the computer science of the current season, and possibly the several coming years, is the success of generative AI systems, based on the Large Linguistic Models (LLM). These systems are being explored for various real-world tasks. We don't know which tasks will be solved successfully in just few months, and which will prove more challenging. Nevertheless, it's the perfect time to dive into this field to potentially achieve not only scientific results but also great prospects for widespread real-world implementation with significant growth and scalability with business prospective. Here we want to identify promising application areas where LLM can be relatively quickly researched, developed and implemented in the wide field of healthcare system with significant economic and social benefits. One of the key competencies of a practicing doctor is effective communication with patients. Without communication, a doctor cannot learn what is happening to the patient, nor explain to the patient what needs to be done for effective recovery. Misunderstanding and communication incompetence often lead to medical errors, delay recovery, worsen quality of life and patient satisfaction. There are many useful books devoted to building quality communication and training this competence, for example Tate & Frame (2019) Kurtz, Draper & Silverman (2017). Now, intelligent information dialogue systems come to the aid of a doctor who is often unable to do everything as effectively as possible. Now it has become possible to slightly relieve the doctor and transfer part of the communication functions to new intelligent agents.es
dc.language.isoenes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleRapidly improving healthcare with generative AIes
dc.typeconferenceObjectes
dc.description.course2022-23es
dc.identifier.conferenceObjectJornadas sobre Inteligencia Artificial - CUASI 2023es
dc.publisher.facultyEscuela de Ciencias Técnicas e Ingenieríaes
dc.rights.accessRightsopenAccesses
dc.subject.keywordInteligencia Artificiales
dc.subject.keywordAIes


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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