Artificial intelligence (<scp>AI</scp>) in the management of colorectal cancer: on the horizon?

Wei, Matthew Y K; Zhang, Junyao; Schmidt, Reuben; Miller, Andrew

doi:10.1111/ans.18504

Cited by 1 publication

(1 citation statement)

References 14 publications

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“…In colorectal cancer treatment, AI applications offer personalized, evidence-based clinical treatment strategies that can potentially optimize patient care and outcomes [ 60 ]. The development of AI-assisted clinical tools for decision support in managing colorectal cancer, such as predicting future endoscopic surveillance intervals, exemplifies AI's capacity to enhance treatment planning and patient monitoring [ 61 ].…”

Section: Reviewmentioning

confidence: 99%

From Pixels to Prognosis: A Narrative Review on Artificial Intelligence’s Pioneering Role in Colorectal Carcinoma Histopathology

Naseri,

Shukla,

Hiwale

et al. 2024

Cureus

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Colorectal carcinoma, a prevalent and deadly malignancy, necessitates precise histopathological assessment for effective diagnosis and prognosis. Artificial intelligence (AI) emerges as a transformative force in this realm, offering innovative solutions to enhance traditional histopathological methods. This narrative review explores AI's pioneering role in colorectal carcinoma histopathology, encompassing its evolution, techniques, and advancements. AI algorithms, notably machine learning and deep learning, have revolutionized image analysis, facilitating accurate diagnosis and prognosis prediction. Furthermore, AI-driven histopathological analysis unveils potential biomarkers and therapeutic targets, heralding personalized treatment approaches. Despite its promise, challenges persist, including data quality, interpretability, and integration. Collaborative efforts among researchers, clinicians, and AI developers are imperative to surmount these hurdles and realize AI's full potential in colorectal carcinoma care. This review underscores AI's transformative impact and implications for future oncology research, clinical practice, and interdisciplinary collaboration.

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Section: Reviewmentioning

confidence: 99%