Chang Min Cheol
Department of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam University, Daegu 705-717, South Korea.
World J Clin Cases. 2024 Jan 16;12(2):236-239. doi: 10.12998/wjcc.v12.i2.236.
In this editorial we comment on the article "Potential and limitations of ChatGPT and generative artificial intelligence in medial safety education" published in the recent issue of the . This article described the usefulness of artificial intelligence (AI) in medial safety education. Herein, we focus specifically on the use of AI in the field of pain medicine. AI technology has emerged as a powerful tool, and is expected to play an important role in the healthcare sector and significantly contribute to pain medicine as further developments are made. AI may have several applications in pain medicine. First, AI can assist in selecting testing methods to identify causes of pain and improve diagnostic accuracy. Entry of a patient's symptoms into the algorithm can prompt it to suggest necessary tests and possible diagnoses. Based on the latest medical information and recent research results, AI can support doctors in making accurate diagnoses and setting up an effective treatment plan. Second, AI assists in interpreting medical images. For neural and musculoskeletal disorders, imaging tests are of vital importance. AI can analyze a variety of imaging data, including that from radiography, computed tomography, and magnetic resonance imaging, to identify specific patterns, allowing quick and accurate image interpretation. Third, AI can predict the outcomes of pain treatments, contributing to setting up the optimal treatment plan. By predicting individual patient responses to treatment, AI algorithms can assist doctors in establishing a treatment plan tailored to each patient, further enhancing treatment effectiveness. For efficient utilization of AI in the pain medicine field, it is crucial to enhance the accuracy of AI decision-making by using more medical data, while issues related to the protection of patient personal information and responsibility for AI decisions will have to be addressed. In the future, AI technology is expected to be innovatively applied in the field of pain medicine. The advancement of AI is anticipated to have a positive impact on the entire medical field by providing patients with accurate and effective medical services.
在这篇社论中,我们对最近一期《[期刊名称未给出]》上发表的文章《ChatGPT和生成式人工智能在医学安全教育中的潜力与局限》进行评论。本文描述了人工智能(AI)在医学安全教育中的作用。在此,我们特别关注AI在疼痛医学领域的应用。AI技术已成为一种强大工具,随着进一步发展,有望在医疗保健领域发挥重要作用,并对疼痛医学做出重大贡献。AI在疼痛医学中可能有多种应用。首先,AI可协助选择检测方法以确定疼痛原因并提高诊断准确性。将患者症状输入算法可促使其提出必要检测及可能诊断。基于最新医学信息和近期研究结果,AI可支持医生做出准确诊断并制定有效治疗方案。其次,AI协助解读医学影像。对于神经和肌肉骨骼疾病,影像检查至关重要。AI可分析包括X射线摄影、计算机断层扫描和磁共振成像等各种影像数据,以识别特定模式,实现快速准确的影像解读。第三,AI可预测疼痛治疗结果,有助于制定最佳治疗方案。通过预测个体患者对治疗的反应,AI算法可协助医生制定适合每位患者的治疗方案,进一步提高治疗效果。为在疼痛医学领域有效利用AI,利用更多医学数据提高AI决策准确性至关重要,同时还需解决与患者个人信息保护及AI决策责任相关的问题。未来,AI技术有望在疼痛医学领域得到创新性应用。预计AI的进步将通过为患者提供准确有效的医疗服务,对整个医学领域产生积极影响。