Hari Krishna Marrapu, B. Maram, Smritilekha Das, T. Daniya
{"title":"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","authors":"Hari Krishna Marrapu, B. Maram, Smritilekha Das, T. Daniya","doi":"10.1109/ICECA55336.2022.10009389","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":356949,"journal":{"name":"2022 6th International Conference on Electronics, Communication and Aerospace Technology","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Review on Early Prediction of Pneumonia Using Deep Learning, Convolutional Neural Network and X-Ray Images\",\"authors\":\"Hari Krishna Marrapu, B. Maram, Smritilekha Das, T. Daniya\",\"doi\":\"10.1109/ICECA55336.2022.10009389\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":356949,\"journal\":{\"name\":\"2022 6th International Conference on Electronics, Communication and Aerospace Technology\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 6th International Conference on Electronics, Communication and Aerospace Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECA55336.2022.10009389\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 6th International Conference on Electronics, Communication and Aerospace Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECA55336.2022.10009389","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.