Artificial Intelligence in Colorectal Disease
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 2192
Special Issue Editor
Interests: generative AI; digital twins; cardiovascular disease
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence is becoming increasingly important in the detection and personalized treatment of cancer. The applications to clinical workflows can include tumour burden annotation as well as treatment response assessment and prediction together with recurrence and metastasis prediction. All of these use cases are relevant for colorectal cancer, which is among the four most common cancers. The long-term survival of colorectal cancer patients has improved considerably for some types, such as locally advanced rectal cancer with the introduction of total mesorectal excision. However, mortality, particularly in elderly populations, remains high. In addition, treatment can have significant impacts on quality of life such as colostomy and long-term comorbidities. This presents significant opportunities for personalised treatment, in which AI models can identify which patients will have a low chance of recurrence, thereby preventing unnecessary comorbidities. With the relatively large datasets provided by colorectal cancer cohorts, the possibilities provided by artificial intelligence can have a real impact to both the survival and quality of life of colorectal cancer patients.
Dr. Sean Benson
Guest Editor
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