Srivastav Samriddhi, Chandrakar Rashi, Gupta Shalvi, Babhulkar Vaishnavi, Agrawal Sristy, Jaiswal Arpita, Prasad Roshan, Wanjari Mayur B
Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research, Wardha, IND.
Surgery, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research, Wardha, IND.
Cureus. 2023 Jul 6;15(7):e41435. doi: 10.7759/cureus.41435. eCollection 2023 Jul.
This review article provides an overview of using artificial intelligence (AI) in radiology. It discusses the advantages and limitations of ChatGPT, a large language model, for medical imaging diagnosis. ChatGPT has shown great promise in improving the accuracy and efficiency of radiological diagnoses by reducing interpretation variability and errors and improving workflow efficiency. However, there are also limitations, including the need for high-quality training data, ethical considerations, and further research and development to improve its performance and usability. Despite these challenges, ChatGPT has the potential to significantly impact radiology and medical imaging diagnosis. The review article highlights the need for continued research and development, coupled with ethical and regulatory considerations, to ensure that ChatGPT is used to its full potential in improving radiological diagnoses and patient care.
这篇综述文章概述了人工智能(AI)在放射学中的应用。它讨论了大型语言模型ChatGPT在医学影像诊断方面的优势和局限性。ChatGPT在通过减少解读变异性和错误以及提高工作流程效率来提高放射学诊断的准确性和效率方面显示出了巨大的潜力。然而,也存在局限性,包括对高质量训练数据的需求、伦理考量以及为提高其性能和可用性而进行的进一步研发。尽管存在这些挑战,ChatGPT仍有可能对放射学和医学影像诊断产生重大影响。这篇综述文章强调了持续研发的必要性,以及伦理和监管方面的考量,以确保ChatGPT在改善放射学诊断和患者护理方面充分发挥其潜力。