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Targeted Cancer Therapies

Targeted Cancer Therapies

The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against specific...

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Robot-assisted Total Mesorectal Excision and Lateral Pelvic Lymph Node Dissection for Locally Advanced Middle-low Rectal Cancer

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Artificial Intelligence in Colorectal Cancer Supportive Care: A Scoping Review.

Yupawadee Kantabanlang¹, Misun Hwang¹, John C Krauss²

¹School of Nursing, University of Michigan, Ann Arbor, Michigan.

Seminars in Oncology Nursing

|December 20, 2025

Summary

This summary is machine-generated.

Artificial Intelligence (AI) can improve colorectal cancer (CRC) survivor care. Current AI applications mainly offer informational support, with limited physical and emotional assistance, highlighting a need for broader AI development in supportive cancer care.

Keywords:

Artificial intelligence Cancer survivors Colorectal neoplasms Supportive care

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Area of Science:

Oncology
Artificial Intelligence
Digital Health

Background:

Supportive care is crucial for cancer survivors' well-being throughout their journey.
Artificial Intelligence (AI) presents novel opportunities to augment supportive care services for cancer patients.
Colorectal cancer (CRC) survivors face unique challenges requiring tailored supportive interventions.

Purpose of the Study:

To conduct a scoping review of existing evidence on AI applications in supportive care for colorectal cancer (CRC) survivors.
To identify the current landscape and developmental stage of AI technologies used in CRC supportive care.
To understand the scope of AI's role in addressing the diverse needs of CRC survivors.

Main Methods:

A comprehensive scoping review following Joanna Briggs Institute guidelines.
Systematic literature search across six major databases (PubMed, Embase, CINAHL, Scopus, Web of Science, PsycINFO) from 2014-2025.
Extraction and analysis of data on AI technologies, supportive care dimensions, and study characteristics for CRC patients.

Main Results:

40 studies were included from 1,792 initial articles, indicating a nascent field.
AI applications are predominantly in early development, focusing on machine learning for predicting post-surgical side effects.
Limited evidence exists for AI-driven physical symptom management and emotional support in CRC survivorship.

Conclusions:

AI holds significant potential to enhance supportive care for colorectal cancer (CRC) patients.
Current AI interventions primarily offer informational support, necessitating further development for comprehensive care.
Future AI tools must address psychological, social, spiritual, and practical supportive care needs to improve patient outcomes.