644 research outputs found

    2023/2024 University of the Pacific San Francisco Catalog

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    Informatics innovation in clinical care: A visionary scenario for dentistry

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    Health information technology (HIT) is one of the most significant developments in health care in recent years. However, there is still a large gap between how HIT could support clinical work versus how it does. In this project, we developed a visionary scenario to identify opportunities for improving patient care in dentistry. In the scenario, patients and care providers are supported by a ubiquitous, embedded computing infrastructure that captures and processes data streams from multiple sources. Practical decision support, as well as automated background data processing (e.g., to screen for common conditions), helps clinicians provide quality care. A holistic view of clinical information technology (IT) focuses on supporting clinicians and patients in a user-centered manner. While clinical IT is still in very much a work in progress, scenarios such as the one presented may be helpful to keep us focused on the possibilities of tomorrow, not on the limitations of today

    Health Professions Division Catalog_2020-2021

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    Artificial intelligent based teaching and learning approaches: A comprehensive review

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    The goal of this study is to investigate the potential effects that Artificial intelligence (AI) could have on education. The narrative and framework for investigating AI that emerged from the preliminary research served as the basis for the study’s emphasis, which was narrowed down to the use of AI and its effects on administration, instruction, and student learning. According to the findings, artificial intelligence has seen widespread adoption and use in education, particularly by educational institutions and in various contexts and applications. The development of AI began with computers and technologies related to computers; it then progressed to web-based and online intelligent education systems; and finally, it applied embedded computer systems in conjunction with other technologies, humanoid robots, and web-based chatbots to execute instructor tasks and functions either independently or in partnership with instructors. By utilizing these platforms, educators have been able to accomplish a variety of administrative tasks. In addition, because the systems rely on machine learning and flexibility, the curriculum and content have been modified to match the needs of students. This has led to improved learning outcomes in the form of higher uptake and retention rates

    ChatGPT for Shaping the Future of Dentistry: The Potential of Multi-Modal Large Language Model

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    The ChatGPT, a lite and conversational variant of Generative Pretrained Transformer 4 (GPT-4) developed by OpenAI, is one of the milestone Large Language Models (LLMs) with billions of parameters. LLMs have stirred up much interest among researchers and practitioners in their impressive skills in natural language processing tasks, which profoundly impact various fields. This paper mainly discusses the future applications of LLMs in dentistry. We introduce two primary LLM deployment methods in dentistry, including automated dental diagnosis and cross-modal dental diagnosis, and examine their potential applications. Especially, equipped with a cross-modal encoder, a single LLM can manage multi-source data and conduct advanced natural language reasoning to perform complex clinical operations. We also present cases to demonstrate the potential of a fully automatic Multi-Modal LLM AI system for dentistry clinical application. While LLMs offer significant potential benefits, the challenges, such as data privacy, data quality, and model bias, need further study. Overall, LLMs have the potential to revolutionize dental diagnosis and treatment, which indicates a promising avenue for clinical application and research in dentistry

    2021/2022 University of the Pacific San Francisco Catalog

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    Health Professions Division 2018-2019 Catalog

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    Health Professions Division 2016-2017 Catalog

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    2022/2023 University of the Pacific San Francisco Catalog

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