Akbari Abolfazl, Adabi Maryam, Masoodi Mohsen, Namazi Abolfazl, Mansouri Fatemeh, Tabaeian Seidamir Pasha, Shokati Eshkiki Zahra
Colorectal Research Center, Iran University of Medical Sciences, Tehran, Iran.
Infectious Ophthalmologic Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Front Artif Intell. 2024 Dec 20;7:1446693. doi: 10.3389/frai.2024.1446693. eCollection 2024.
One of the foremost causes of global healthcare burden is cancer of the gastrointestinal tract. The medical records, lab results, radiographs, endoscopic images, tissue samples, and medical histories of patients with gastrointestinal malignancies provide an enormous amount of medical data. There are encouraging signs that the advent of artificial intelligence could enhance the treatment of gastrointestinal issues with this data. Deep learning algorithms can swiftly and effectively analyze unstructured, high-dimensional data, including texts, images, and waveforms, while advanced machine learning approaches could reveal new insights into disease risk factors and phenotypes. In summary, artificial intelligence has the potential to revolutionize various features of gastrointestinal cancer care, such as early detection, diagnosis, therapy, and prognosis. This paper highlights some of the many potential applications of artificial intelligence in this domain. Additionally, we discuss the present state of the discipline and its potential future developments.
全球医疗负担的首要原因之一是胃肠道癌症。胃肠道恶性肿瘤患者的病历、实验室检查结果、X光片、内镜图像、组织样本和病史提供了大量的医学数据。有令人鼓舞的迹象表明，人工智能的出现可以利用这些数据改善胃肠道疾病的治疗。深度学习算法可以快速有效地分析非结构化的高维数据，包括文本、图像和波形，而先进的机器学习方法可以揭示疾病风险因素和表型的新见解。总之，人工智能有可能彻底改变胃肠道癌症治疗的各个方面，如早期检测、诊断、治疗和预后。本文重点介绍了人工智能在该领域的一些潜在应用。此外，我们还讨论了该学科的现状及其未来的潜在发展。
