Integrating artificial intelligence techniques for advancements in colorectal cancer management: navigating past and predicting future direction

• Published in: Journal of the Pakistan Medical Association Vol. 74; no. 4; p. S165
• Main Authors: Raza, Zeeshan, Saqib, Sabah Uddin, Bajwa, Adeel Ahmad
• Format: Journal Article
• Language: English
• Published: Pakistan Pakistan Medical Association 01.04.2024
• Subjects: Artificial Intelligence; Colonic Polyps - diagnosis; Colonic Polyps - diagnostic imaging; Colonic Polyps - pathology; Colonoscopy - methods; Colorectal Neoplasms - diagnosis; Colorectal Neoplasms - pathology; Colorectal Neoplasms - therapy; Decision Support Systems, Clinical; Early Detection of Cancer - methods; Humans; Magnetic Resonance Imaging - methods; Neoplasm Staging; Robotic Surgical Procedures - methods; Artificial Intelligence, Colorectal Surgery, Clinical Neoplasm Staging, Precision Medicine, Robotic surgery, Colonoscopy, Colorectal Neoplasms, Magnetic Resonance Imaging, Lymph Nodes, Tomography, X-Ray, cancer, telemetry surgery, virtual learning
• ISSN: 0030-9982; 0030-9982
• DOI: 10.47391/JPMA.AKU-9S-26

Artificial Intelligence (AI) in the last few years has emerged as a valuable tool in managing colorectal cancer, revolutionizing its management at different stages. In early detection and diagnosis, AI leverages its prowess in imaging analysis, scrutinizing CT scans, MRI, and colonoscopy views to identify polyps and tumors. This ability enables timely and accurate diagnoses, initiating treatment at earlier stages. AI has helped in personalized treatment planning because of its ability to integrate diverse patient data, including tumor characteristics, medical history, and genetic information. Integrating AI into clinical decision support systems guarantees evidence-based treatment strategy suggestions in multidisciplinary clinical settings, thus improving patient outcomes. This narrative review explores the multifaceted role of AI, spanning early detection of colorectal cancer, personalized treatment planning, polyp detection, lymph node evaluation, cancer staging, robotic colorectal surgery, and training of colorectal surgeons. Continue...