{"title":"The radiologist as an independent \"third party\" to the patient and clinicians in the era of generative AI.","authors":"Anna Colarieti, Francesco Sardanelli","doi":"10.1007/s11547-025-01967-3","DOIUrl":null,"url":null,"abstract":"<p><p>Radiologists are crucial in the diagnostic workflow. They must maintain an independent perspective, being a \"third party\" to the patients and referral clinicians. This is important when documenting the absence of relevant abnormalities or providing information that contradicts the self-reported symptoms and/or the impression of the colleagues, as well as in the case of incidental findings that impact patient management. Appropriate communication is the outcome of this professional independence, becoming more and more important in the current era of application of generative artificial intelligence to the radiological world. In fact, while radiological reports could be improved by our smart use of large language models, patients are already using such tools to understand their meaning and practical implications.</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":""},"PeriodicalIF":9.7000,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiologia Medica","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11547-025-01967-3","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
Abstract
Radiologists are crucial in the diagnostic workflow. They must maintain an independent perspective, being a "third party" to the patients and referral clinicians. This is important when documenting the absence of relevant abnormalities or providing information that contradicts the self-reported symptoms and/or the impression of the colleagues, as well as in the case of incidental findings that impact patient management. Appropriate communication is the outcome of this professional independence, becoming more and more important in the current era of application of generative artificial intelligence to the radiological world. In fact, while radiological reports could be improved by our smart use of large language models, patients are already using such tools to understand their meaning and practical implications.
期刊介绍：
Felice Perussia founded La radiologia medica in 1914. It is a peer-reviewed journal and serves as the official journal of the Italian Society of Medical and Interventional Radiology (SIRM). The primary purpose of the journal is to disseminate information related to Radiology, especially advancements in diagnostic imaging and related disciplines. La radiologia medica welcomes original research on both fundamental and clinical aspects of modern radiology, with a particular focus on diagnostic and interventional imaging techniques. It also covers topics such as radiotherapy, nuclear medicine, radiobiology, health physics, and artificial intelligence in the context of clinical implications. The journal includes various types of contributions such as original articles, review articles, editorials, short reports, and letters to the editor. With an esteemed Editorial Board and a selection of insightful reports, the journal is an indispensable resource for radiologists and professionals in related fields. Ultimately, La radiologia medica aims to serve as a platform for international collaboration and knowledge sharing within the radiological community.
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