Harnessing Artificial Intelligence for the Detection and Management of Colorectal Cancer Treatment.

Michael Jacob, Ruhananhad P Reddy, Ricardo I Garcia, Aananya P Reddy, Sachi Khemka, Aryan Kia Roghani, Vasanthkumar Pattoor, Ujala Sehar, P Hemachandra Reddy
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Abstract

Currently, eight million people in the United States suffer from cancer and it is a major global health concern. Early detection and interventions are urgently needed for all cancers, including colorectal cancer. Colorectal cancer is the third most common type of cancer worldwide. Based on the diagnostic efforts to general awareness and lifestyle choices, it is understandable why colorectal cancer is so prevalent today. There is a notable lack of awareness concerning the impact of this cancer and its connection to lifestyle elements, as well as people sometimes mistaking symptoms for a different gastrointestinal condition. Artificial intelligence (AI) may assist in the early detection of all cancers, including colorectal cancer. The usage of AI has exponentially grown in healthcare through extensive research, and since clinical implementation, it has succeeded in improving patient lifestyles, modernizing diagnostic processes, and innovating current treatment strategies. Numerous challenges arise for patients with colorectal cancer and oncologists alike during treatment. For initial screening phases, conventional methods often result in misdiagnosis. Moreover, after detection, determining the course of which colorectal cancer can sometimes contribute to treatment delays. This article touches on recent advancements in AI and its clinical application while shedding light on why this disease is so common today.

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利用人工智能检测和管理结直肠癌治疗。
目前,美国有 800 万人罹患癌症,癌症是全球主要的健康问题。包括结肠直肠癌(CRC)在内的所有癌症都迫切需要早期检测和干预。CRC 是全球第三大最常见的癌症类型;从诊断工作到普遍认识和生活方式的选择,都可以理解为什么 CRC 如今如此流行。人们对这种癌症的影响及其与生活方式之间的联系明显缺乏认识,有时还会将症状误认为是其他肠胃疾病。人工智能(AI)可以帮助早期检测包括 CRC 在内的所有癌症。通过广泛的研究,人工智能在医疗保健领域的应用呈指数级增长,自临床应用以来,已成功改善了患者的生活方式,实现了诊断流程的现代化,并创新了当前的治疗策略。在治疗过程中,CRC 患者和肿瘤学家都面临着诸多挑战。在初步筛查阶段,传统方法往往会导致误诊。此外,在发现之后,确定 CRC 的病程有时也会导致治疗延误。本文介绍了人工智能的最新进展及其临床应用,同时揭示了为什么这种疾病如今如此常见。
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