{"title":"评估人工智能在 X 射线放射摄影自动图像分析中的作用","authors":"Dheeraj Kumar, Shailendra Kumar Diwakar, Shubham Gupta","doi":"10.25259/fh_14_2024","DOIUrl":null,"url":null,"abstract":"This article intends to assess how artificial intelligence (AI) affects the automation of X-ray radiography image processing. The field of medical imaging has seen considerable potential in the use of AI algorithms to improve diagnostic precision, streamline procedures, and streamline workflow. The paper explores how AI is currently being used to automate image processing for X-ray radiography, outlining its possible benefits, difficulties, and hopes for the future. According to the results, AI has the potential to revolutionize radiography by helping radiologists evaluate images, locate anomalies, and do quantitative analysis. This discovery may result in important improvements in healthcare. To determine the clinical value and safety of AI-driven solutions, it is necessary to carry out more research and validation. In conclusion, this analysis highlights AI’s critical role in automating image processing for X-ray radiography and demonstrates how it has the potential to completely transform the industry. To guarantee the dependability and efficacy of AI-based techniques in clinical practice, however, continual research and validation are crucial.","PeriodicalId":517984,"journal":{"name":"Future Health","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating the role of artificial intelligence in automated image analysis for x-ray radiography\",\"authors\":\"Dheeraj Kumar, Shailendra Kumar Diwakar, Shubham Gupta\",\"doi\":\"10.25259/fh_14_2024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article intends to assess how artificial intelligence (AI) affects the automation of X-ray radiography image processing. The field of medical imaging has seen considerable potential in the use of AI algorithms to improve diagnostic precision, streamline procedures, and streamline workflow. The paper explores how AI is currently being used to automate image processing for X-ray radiography, outlining its possible benefits, difficulties, and hopes for the future. According to the results, AI has the potential to revolutionize radiography by helping radiologists evaluate images, locate anomalies, and do quantitative analysis. This discovery may result in important improvements in healthcare. To determine the clinical value and safety of AI-driven solutions, it is necessary to carry out more research and validation. In conclusion, this analysis highlights AI’s critical role in automating image processing for X-ray radiography and demonstrates how it has the potential to completely transform the industry. To guarantee the dependability and efficacy of AI-based techniques in clinical practice, however, continual research and validation are crucial.\",\"PeriodicalId\":517984,\"journal\":{\"name\":\"Future Health\",\"volume\":\"8 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Future Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25259/fh_14_2024\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25259/fh_14_2024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本文旨在评估人工智能(AI)如何影响 X 射线放射图像处理的自动化。医学影像领域在使用人工智能算法提高诊断精度、简化程序和简化工作流程方面已经看到了相当大的潜力。本文探讨了目前如何将人工智能用于 X 射线放射影像处理自动化,概述了其可能带来的好处、困难和对未来的希望。研究结果表明,人工智能有可能通过帮助放射科医生评估图像、定位异常和进行定量分析来彻底改变放射学。这一发现可能会给医疗保健带来重大改进。为了确定人工智能驱动解决方案的临床价值和安全性,有必要开展更多的研究和验证。总之,本分析报告强调了人工智能在 X 射线放射影像处理自动化方面的关键作用,并展示了人工智能如何具有彻底改变该行业的潜力。然而,要保证基于人工智能的技术在临床实践中的可靠性和有效性,持续的研究和验证至关重要。
Evaluating the role of artificial intelligence in automated image analysis for x-ray radiography
This article intends to assess how artificial intelligence (AI) affects the automation of X-ray radiography image processing. The field of medical imaging has seen considerable potential in the use of AI algorithms to improve diagnostic precision, streamline procedures, and streamline workflow. The paper explores how AI is currently being used to automate image processing for X-ray radiography, outlining its possible benefits, difficulties, and hopes for the future. According to the results, AI has the potential to revolutionize radiography by helping radiologists evaluate images, locate anomalies, and do quantitative analysis. This discovery may result in important improvements in healthcare. To determine the clinical value and safety of AI-driven solutions, it is necessary to carry out more research and validation. In conclusion, this analysis highlights AI’s critical role in automating image processing for X-ray radiography and demonstrates how it has the potential to completely transform the industry. To guarantee the dependability and efficacy of AI-based techniques in clinical practice, however, continual research and validation are crucial.