Role of artificial intelligence in risk prediction, prognostication, and therapy response assessment in colorectal cancer: current state and future directions
Artificial Intelligence (AI) is a branch of computer science that utilizes optimization,
probabilistic and statistical approaches to analyze and make predictions based on a vast …
probabilistic and statistical approaches to analyze and make predictions based on a vast …
Applications of artificial intelligence in screening, diagnosis, treatment, and prognosis of colorectal cancer
H Qiu, S Ding, J Liu, L Wang, X Wang - Current Oncology, 2022 - mdpi.com
Colorectal cancer (CRC) is one of the most common cancers worldwide. Accurate early
detection and diagnosis, comprehensive assessment of treatment response, and precise …
detection and diagnosis, comprehensive assessment of treatment response, and precise …
The role of AI technology in prediction, diagnosis and treatment of colorectal cancer
C Yu, EJ Helwig - Artificial intelligence review, 2022 - Springer
Artificial intelligence (AI) is a fascinating new technology that incorporates machine learning
and neural networks to improve existing technology or create new ones. Potential …
and neural networks to improve existing technology or create new ones. Potential …
[HTML][HTML] Development of artificial intelligence technology in diagnosis, treatment, and prognosis of colorectal cancer
F Liang, S Wang, K Zhang, TJ Liu… - World Journal of …, 2022 - ncbi.nlm.nih.gov
Artificial intelligence (AI) technology has made leaps and bounds since its invention. AI
technology can be subdivided into many technologies such as machine learning and deep …
technology can be subdivided into many technologies such as machine learning and deep …
[HTML][HTML] Application of artificial intelligence to the diagnosis and therapy of colorectal cancer
Y Wang, X He, H Nie, J Zhou, P Cao… - American journal of …, 2020 - ncbi.nlm.nih.gov
Artificial intelligence (AI) is a relatively new branch of computer science involving many
disciplines and technologies, including robotics, speech recognition, natural language and …
disciplines and technologies, including robotics, speech recognition, natural language and …
[HTML][HTML] Current implications and challenges of artificial intelligence technologies in therapeutic intervention of colorectal cancer
K Das, M Paltani, PK Tripathi, R Kumar… - … of Targeted Anti …, 2023 - ncbi.nlm.nih.gov
Irrespective of men and women, colorectal cancer (CRC), is the third most common cancer
in the population with more than 1.85 million cases annually. Fewer than 20% of patients …
in the population with more than 1.85 million cases annually. Fewer than 20% of patients …
Artificial intelligence in colorectal cancer screening, diagnosis and treatment. A new era
A Mitsala, C Tsalikidis, M Pitiakoudis, C Simopoulos… - Current …, 2021 - mdpi.com
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 …
with great success. The widespread use of AI technology in diagnosing and treating several …
Scope of artificial intelligence in gastrointestinal oncology
Simple Summary Gastrointestinal cancers cause over 2.8 million deaths annually
worldwide. Currently, the diagnosis of various gastrointestinal cancer mainly relies on …
worldwide. Currently, the diagnosis of various gastrointestinal cancer mainly relies on …
Artificial intelligence in intestinal polyp and colorectal cancer prediction
Artificial intelligence (AI) algorithms and their application to disease detection and decision
support for healthcare professions have greatly evolved in the recent decade. AI has been …
support for healthcare professions have greatly evolved in the recent decade. AI has been …
Predicting clinical outcomes in colorectal cancer using machine learning
J Gründner, HU Prokosch, M Stürzl… - … of Knowledge in …, 2018 - ebooks.iospress.nl
Using gene markers and other patient features to predict clinical outcomes plays a vital role
in enhancing clinical decision making and improving prognostic accuracy. This work uses a …
in enhancing clinical decision making and improving prognostic accuracy. This work uses a …
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