Parillo Marco, Vaccarino Federica, Beomonte Zobel Bruno, Mallio Carlo Augusto
Radiology, Multizonal Unit of Rovereto and Arco, APSS Provincia Autonoma Di Trento, Trento, Italy.
Research Unit of Diagnostic Imaging and Interventional Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128, Rome, Italy.
Radiol Med. 2024 Dec;129(12):1849-1863. doi: 10.1007/s11547-024-01915-7. Epub 2024 Nov 7.
Large language models like ChatGPT, with their growing accessibility, are attracting increasing interest within the artificial intelligence medical field, particularly in the analysis of radiology reports. These present a valuable opportunity to explore the potential clinical applications of large language models, given their huge capabilities in processing and understanding written language. Early research indicates that ChatGPT could offer benefits in radiology reporting. ChatGPT can assist but not replace radiologists in achieving diagnoses, generating structured reports, extracting data, identifying errors or incidental findings, and can also serve as a support in creating patient-friendly reports. However, ChatGPT also has intrinsic limitations, such as hallucinations, stochasticity, biases, deficiencies in complex clinical scenarios, data privacy and legal concerns. To fully utilize the potential of ChatGPT in radiology reporting, careful integration planning and rigorous validation of their outputs are crucial, especially for tasks requiring abstract reasoning or nuanced medical context. Radiologists' expertise in medical imaging and data analysis positions them exceptionally well to lead the responsible integration and utilization of ChatGPT within the field of radiology. This article offers a topical overview of the potential strengths and limitations of ChatGPT in radiological reporting.
像ChatGPT这样的大语言模型，随着其可及性的不断提高，在人工智能医学领域正吸引着越来越多的关注，尤其是在放射学报告分析方面。鉴于它们在处理和理解书面语言方面的巨大能力，这为探索大语言模型的潜在临床应用提供了宝贵机会。早期研究表明，ChatGPT在放射学报告方面可能会带来益处。ChatGPT在实现诊断、生成结构化报告、提取数据、识别错误或偶然发现等方面可以提供协助，但不能取代放射科医生，并且还可以在创建患者友好型报告方面提供支持。然而，ChatGPT也有其内在局限性，如幻觉、随机性、偏差、在复杂临床场景中的不足、数据隐私和法律问题。为了充分利用ChatGPT在放射学报告中的潜力，精心的整合规划和对其输出的严格验证至关重要，特别是对于需要抽象推理或细微医学背景的任务。放射科医生在医学成像和数据分析方面的专业知识使他们非常适合在放射学领域引领对ChatGPT的负责任整合和利用。本文对ChatGPT在放射学报告中的潜在优势和局限性进行了主题概述。
