Artificial Intelligence in Colorectal Cancer Screening, Diagnosis and Treatment. A New Era

The development of artificial intelligence (AI) algorithms has permeated the medical field with great success. The widespread use of AI technology in diagnosing and treating several types of cancer, especially colorectal cancer (CRC), is now attracting substantial attention. CRC, which represents th...

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Veröffentlicht in:Current oncology (Toronto) Jg. 28; H. 3; S. 1581 - 1607
Hauptverfasser: Mitsala, Athanasia, Tsalikidis, Christos, Pitiakoudis, Michail, Simopoulos, Constantinos, Tsaroucha, Alexandra K.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Switzerland MDPI 23.04.2021
MDPI AG
Schlagworte:
artificial intelligence
colonoscopy
colorectal cancer
computer-aided detection
computer-aided diagnosis
Review
screening
precision oncology
screening
colorectal cancer
therapy
computer-aided detection
robotic-assisted surgery
computer-aided diagnosis
colonoscopy
artificial intelligence
ISSN:1718-7729, 1198-0052, 1718-7729
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Zusammenfassung:The development of artificial intelligence (AI) algorithms has permeated the medical field with great success. The widespread use of AI technology in diagnosing and treating several types of cancer, especially colorectal cancer (CRC), is now attracting substantial attention. CRC, which represents the third most commonly diagnosed malignancy in both men and women, is considered a leading cause of cancer-related deaths globally. Our review herein aims to provide in-depth knowledge and analysis of the AI applications in CRC screening, diagnosis, and treatment based on current literature. We also explore the role of recent advances in AI systems regarding medical diagnosis and therapy, with several promising results. CRC is a highly preventable disease, and AI-assisted techniques in routine screening represent a pivotal step in declining incidence rates of this malignancy. So far, computer-aided detection and characterization systems have been developed to increase the detection rate of adenomas. Furthermore, CRC treatment enters a new era with robotic surgery and novel computer-assisted drug delivery techniques. At the same time, healthcare is rapidly moving toward precision or personalized medicine. Machine learning models have the potential to contribute to individual-based cancer care and transform the future of medicine.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
ObjectType-Review-3
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ISSN:1718-7729
1198-0052
1718-7729
DOI:10.3390/curroncol28030149