Artificial Intelligence in Colorectal Cancer Screening, Diagnosis and Treatment. A New Era.
artificial intelligence
colonoscopy
colorectal cancer
computer-aided detection
computer-aided diagnosis
precision oncology
robotic-assisted surgery
screening
therapy
Journal
Current oncology (Toronto, Ont.)
ISSN: 1718-7729
Titre abrégé: Curr Oncol
Pays: Switzerland
ID NLM: 9502503
Informations de publication
Date de publication:
23 04 2021
23 04 2021
Historique:
received:
02
03
2021
revised:
09
04
2021
accepted:
20
04
2021
entrez:
30
4
2021
pubmed:
1
5
2021
medline:
25
9
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 33922402
pii: curroncol28030149
doi: 10.3390/curroncol28030149
pmc: PMC8161764
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
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