基于深度学习、卷积神经网络和x射线图像的肺炎早期预测研究进展

Hari Krishna Marrapu, B. Maram, Smritilekha Das, T. Daniya
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引用次数: 0

摘要

人工智能和机器学习有能力彻底改变医疗保健行业,并开启一个充满惊人潜力的世界。但是,除非所有相关方都具备医疗保健和机器学习基础知识和原理的基本知识,否则无法充分利用这些技术的能力。本文献综述工作分析了在肺炎检测中实现机器学习算法的研究。此外,越来越明显的是,人工智能系统不会在病人护理方面实质性地取代人类临床医生,而是支持他们。人类医生可能最终会倾向于利用人类能力的职责和工作安排,比如移情、说服和大局整合。那些拒绝与人工智能合作的医疗保健专业人员可能最终成为未来唯一失去职业的人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review on Early Prediction of Pneumonia Using Deep Learning, Convolutional Neural Network and X-Ray Images
Artificial intelligence and machine learning have the power to revolutionize the healthcare industry and unlock a world of amazing potential. But unless all interested parties possess rudimentary knowledge of healthcare and machine learning fundamentals and principles, it is not able to fully utilize the capabilities of these technologies. This present literature survey work analyzes the research which implemented the machine learning algorithms in the detection of pneumonia. Furthermore, it is increasingly obvious that AI systems will not substantially replace human clinicians in patient care but rather support them. Human physicians may eventually gravitate toward duties and work arrangements that make use of particularly human abilities like empathy, persuasion, and big-picture integration. Those healthcare professionals who refuse to collaborate with artificial intelligence may end up being the only ones to lose their professions in the future.
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