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深度学习应用于诊断和治疗计划的解码。

Decoding Deep Learning applications for diagnosis and treatment planning.

机构信息

University of Missouri - Kansas City, Department of Orthodontics (Kansas City/MO, USA).

出版信息

Dental Press J Orthod. 2023 Jan 6;27(5):e22spe5. doi: 10.1590/2177-6709.27.5.e22spe5. eCollection 2023.

Abstract

INTRODUCTION

Artificial Intelligence (AI), Machine Learning and Deep Learning are playing an increasingly significant role in the medical field in the 21st century. These recent technologies are based on the concept of creating machines that have the potential to function as a human brain. It necessitates the gathering of large quantity of data to be processed. Once processed with AI machines, these data have the potential to streamline and improve the capabilities of the medical field in diagnosis and treatment planning, as well as in the prediction and recognition of diseases. These concepts are new to Orthodontics and are currently limited to image processing and pattern recognition.

OBJECTIVE

This article exposes and describes the different methods by which orthodontics may benefit from a more widespread adoption of these technologies.

摘要

简介

人工智能(AI)、机器学习和深度学习在 21 世纪的医疗领域发挥着越来越重要的作用。这些新技术基于创造具有人脑功能潜力的机器的概念。这需要收集大量的数据进行处理。一旦用 AI 机器处理这些数据,它们就有可能在诊断和治疗计划以及疾病的预测和识别方面简化和提高医疗领域的能力。这些概念对于正畸学来说是全新的,目前仅限于图像处理和模式识别。

目的

本文介绍和描述了正畸学可以通过更广泛地采用这些技术从中受益的不同方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe02/9829109/15929e49ae55/2177-6709-dpjo-27-05-e22spe5-gf1.jpg

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