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理解深度学习——挑战与展望。

Understanding deep learning - challenges and prospects.

机构信息

Department of Surgery, Aga Khan University Hospital, Karachi, Pakistan.

Department of Surgery, Aga Khan University Hospital, Karachi-Pakistan.

出版信息

J Pak Med Assoc. 2022 Feb;72(Suppl 1)(2):S59-S63. doi: 10.47391/JPMA.AKU-12.

Abstract

The developments in Artificial Intelligence have been on the rise since its advent. The advancements in this field have been the innovative research area across a wide range of industries, making its incorporation in dentistry inevitable. Artificial Intelligence techniques are making serious progress in the diagnostic and treatment planning aspects of dental clinical practice. This will ultimately help in the elimination of subjectivity and human error that are often part of radiographic interpretations, and will improve the overall efficiency of the process. The various types of Artificial Intelligence algorithms that exist today make the understanding of their application quite complex. The current narrative review was planned to make comprehension of Artificial Intelligence algorithms relatively straightforward. The focus was planned to be kept on the current developments and prospects of Artificial Intelligence in dentistry, especially Deep Learning and Convolutional Neural Networks in diagnostic imaging. The narrative review may facilitate the interpretation of seemingly perplexing research published widely in dental journals.

摘要

自问世以来,人工智能的发展一直呈上升趋势。该领域的进步已经成为广泛行业的创新研究领域,使其在牙科领域的应用不可避免。人工智能技术在牙科临床实践的诊断和治疗计划方面取得了重大进展。这最终将有助于消除放射学解释中经常出现的主观性和人为错误,并提高整个过程的效率。目前存在的各种类型的人工智能算法使得理解它们的应用变得非常复杂。目前的叙述性评论旨在使对人工智能算法的理解相对简单。重点计划放在人工智能在牙科领域的当前发展和前景上,特别是深度学习和卷积神经网络在诊断成像中的应用。叙述性评论可能有助于解释在牙科期刊上广泛发表的看似令人费解的研究。

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