• Title/Summary/Keyword: 임상 워크플로

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CAD-CAM technique based digital diagnosis and fixed partial denture treatment on maxillary congenital missing teeth with skeletal class III tendency patient: A case report (상악 선천성 결손과 하악 골격성 제3급 부정교합 경향성을 보이는 환자에게서 CAD-CAM 기법을 이용한 진단과 고정성 보철 수복 증례 보고)

  • Oh, SaeEun;Park, YoungBum;Park, JaeHan
    • The Journal of Korean Academy of Prosthodontics
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    • v.60 no.4
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    • pp.354-361
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    • 2022
  • The development of digital technology is causing great changes in dentistry. This digital workflow combines various 3D data in the prosthetic treatment area for diagnosis and prosthetic manufacturing. The planned diagnosis and the fabrication of prosthesis in a virtual patient formed by synthesizing digital data can simulate the results of prosthetic treatment more intuitively than conventional methods, thereby increasing the predictability of aesthetic prosthetic treatment. In this case report, functionally and aesthetically satisfied clinical results were obtained by fabricating a fixed partial dentures through a digital workflow on congenital missing teeth in the maxillary anterior region.

Artificial Intelligence Application Cases and Considerations in Digital Healthcare (디지털헬스케어에서의 인공지능 적용 사례 및 고찰)

  • Park, Minseo
    • Journal of the Korea Convergence Society
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    • v.13 no.1
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    • pp.141-147
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    • 2022
  • In a broad sense, the definition of digital health care is an industrial area that manages personal health and diseases through the convergence of the health care industry and ICT. In a narrow sense, various medical technologies are used to manage medical services to improve patient health. This paper aims to provide design guidelines so that artificial intelligence technology can be applied stably and efficiently to more diverse digital health care fields in the future by introducing use cases of artificial intelligence and machine learning techniques applied in the digital health care field. For this purpose, in this thesis, the medical field and the daily life field are divided and examined. The two regions have different data characteristics. By further subdividing the two areas, we looked at the use cases of artificial intelligence algorithms according to data characteristics and problem definitions and characteristics. Through this, we will increase our understanding of artificial intelligence technologies used in the digital health care field and examine the possibility of using various artificial intelligence technologies.