Pranav Ajmera, Ryan Dillard, Timothy Kline, Andrew Missert, Panagiotis Korfiatis, Ashish Khandelwal
{"title":"fda批准的人工智能产品用于腹部成像:全面回顾。","authors":"Pranav Ajmera, Ryan Dillard, Timothy Kline, Andrew Missert, Panagiotis Korfiatis, Ashish Khandelwal","doi":"10.1067/j.cpradiol.2025.04.011","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>This review aims to provide a comprehensive overview of the transformative impact of FDA-approved artificial intelligence (AI) products in abdominal imaging. It explores the evolution of AI in radiology, its rigorous FDA clearance process, and its role in revolutionizing diagnostic and non-diagnostic tasks across various abdominal organs.</p><p><strong>Methods: </strong>Through a review of literature, this study categorizes AI products based on their applications in liver, prostate, bladder, kidney, and overall abdominal imaging. It analyzes the diagnostic and non-diagnostic functionalities of these AI solutions, elucidating their capabilities in enhancing disease detection, image quality, workflow efficiency, and longitudinal comparison standardization.</p><p><strong>Results: </strong>The review identifies numerous FDA-approved AI products tailored for abdominal imaging, showcasing their diverse applications, from lesion detection and characterization to volume estimation and quantification of organ health parameters. These AI solutions have demonstrated their efficacy in improving diagnostic accuracy, streamlining radiological workflows, and ultimately optimizing patient care across various abdominal pathologies.</p><p><strong>Conclusion: </strong>In conclusion, the integration of AI into abdominal imaging represents a paradigm shift in modern radiology. By empowering radiologists with advanced tools for timely diagnosis, precise treatment planning, and improved patient outcomes, FDA-approved AI products herald a new era of innovation in abdominal imaging. Collaboration between developers, regulatory bodies, and the medical community will be paramount in harnessing the full potential of AI to reshape the future of abdominal radiology.</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FDA-approved artificial intelligence products in abdominal imaging: A comprehensive review.\",\"authors\":\"Pranav Ajmera, Ryan Dillard, Timothy Kline, Andrew Missert, Panagiotis Korfiatis, Ashish Khandelwal\",\"doi\":\"10.1067/j.cpradiol.2025.04.011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>This review aims to provide a comprehensive overview of the transformative impact of FDA-approved artificial intelligence (AI) products in abdominal imaging. It explores the evolution of AI in radiology, its rigorous FDA clearance process, and its role in revolutionizing diagnostic and non-diagnostic tasks across various abdominal organs.</p><p><strong>Methods: </strong>Through a review of literature, this study categorizes AI products based on their applications in liver, prostate, bladder, kidney, and overall abdominal imaging. It analyzes the diagnostic and non-diagnostic functionalities of these AI solutions, elucidating their capabilities in enhancing disease detection, image quality, workflow efficiency, and longitudinal comparison standardization.</p><p><strong>Results: </strong>The review identifies numerous FDA-approved AI products tailored for abdominal imaging, showcasing their diverse applications, from lesion detection and characterization to volume estimation and quantification of organ health parameters. These AI solutions have demonstrated their efficacy in improving diagnostic accuracy, streamlining radiological workflows, and ultimately optimizing patient care across various abdominal pathologies.</p><p><strong>Conclusion: </strong>In conclusion, the integration of AI into abdominal imaging represents a paradigm shift in modern radiology. By empowering radiologists with advanced tools for timely diagnosis, precise treatment planning, and improved patient outcomes, FDA-approved AI products herald a new era of innovation in abdominal imaging. Collaboration between developers, regulatory bodies, and the medical community will be paramount in harnessing the full potential of AI to reshape the future of abdominal radiology.</p>\",\"PeriodicalId\":93969,\"journal\":{\"name\":\"Current problems in diagnostic radiology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current problems in diagnostic radiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1067/j.cpradiol.2025.04.011\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current problems in diagnostic radiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1067/j.cpradiol.2025.04.011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
FDA-approved artificial intelligence products in abdominal imaging: A comprehensive review.
Purpose: This review aims to provide a comprehensive overview of the transformative impact of FDA-approved artificial intelligence (AI) products in abdominal imaging. It explores the evolution of AI in radiology, its rigorous FDA clearance process, and its role in revolutionizing diagnostic and non-diagnostic tasks across various abdominal organs.
Methods: Through a review of literature, this study categorizes AI products based on their applications in liver, prostate, bladder, kidney, and overall abdominal imaging. It analyzes the diagnostic and non-diagnostic functionalities of these AI solutions, elucidating their capabilities in enhancing disease detection, image quality, workflow efficiency, and longitudinal comparison standardization.
Results: The review identifies numerous FDA-approved AI products tailored for abdominal imaging, showcasing their diverse applications, from lesion detection and characterization to volume estimation and quantification of organ health parameters. These AI solutions have demonstrated their efficacy in improving diagnostic accuracy, streamlining radiological workflows, and ultimately optimizing patient care across various abdominal pathologies.
Conclusion: In conclusion, the integration of AI into abdominal imaging represents a paradigm shift in modern radiology. By empowering radiologists with advanced tools for timely diagnosis, precise treatment planning, and improved patient outcomes, FDA-approved AI products herald a new era of innovation in abdominal imaging. Collaboration between developers, regulatory bodies, and the medical community will be paramount in harnessing the full potential of AI to reshape the future of abdominal radiology.