Artificial intelligence in oncology: Path to implementation
In recent years, the field of artificial intelligence (AI) in oncology has grown exponentially. AI
solutions have been developed to tackle a variety of cancer‐related challenges. Medical …
solutions have been developed to tackle a variety of cancer‐related challenges. Medical …
Integrated approaches for precision oncology in colorectal cancer: The more you know, the better
P Andrei, P Battuello, G Grasso, E Rovera… - Seminars in cancer …, 2022 - Elsevier
Colorectal cancer (CRC) is one of the most common human malignancies accounting for
approximately 10% of worldwide cancer incidence and mortality. While early-stage CRC is …
approximately 10% of worldwide cancer incidence and mortality. While early-stage CRC is …
Applications of artificial intelligence in screening, diagnosis, treatment, and prognosis of colorectal cancer
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 …
Prediction of lymph node metastasis in early colorectal cancer based on histologic images by artificial intelligence
M Takamatsu, N Yamamoto, H Kawachi, K Nakano… - Scientific reports, 2022 - nature.com
Risk evaluation of lymph node metastasis (LNM) for endoscopically resected submucosal
invasive (T1) colorectal cancers (CRC) is critical for determining therapeutic strategies, but …
invasive (T1) colorectal cancers (CRC) is critical for determining therapeutic strategies, but …
Towards the interpretability of machine learning predictions for medical applications targeting personalised therapies: A cancer case survey
Artificial Intelligence is providing astonishing results, with medicine being one of its favourite
playgrounds. Machine Learning and, in particular, Deep Neural Networks are behind this …
playgrounds. Machine Learning and, in particular, Deep Neural Networks are behind this …
Prediction for odor gas generation from domestic waste based on machine learning
Y Jiang, J Huang, W Luo, K Chen, W Yu, W Zhang… - Waste Management, 2023 - Elsevier
Domestic waste is prone to produce a variety of volatile organic compounds (VOCs), which
often has unpleasant odors. A key process in treating odor gases is predicting the …
often has unpleasant odors. A key process in treating odor gases is predicting the …
Accelerated identification of high-performance catalysts for low-temperature NH 3-SCR by machine learning
Y Dong, Y Zhang, M Ran, X Zhang, S Liu… - Journal of Materials …, 2021 - pubs.rsc.org
Significant efforts have been devoted to the development of catalysts for the removal of
environmental pollutants. However, screening catalysts through trial and error consumes a …
environmental pollutants. However, screening catalysts through trial and error consumes a …
[HTML][HTML] Application of machine learning approaches to predict the 5-year survival status of patients with esophageal cancer
X Gong, B Zheng, G Xu, H Chen… - Journal of Thoracic …, 2021 - ncbi.nlm.nih.gov
Background Accurate prognostic estimation for esophageal cancer (EC) patients plays an
important role in the process of clinical decision-making. The objective of this study was to …
important role in the process of clinical decision-making. The objective of this study was to …
Blood pressure stratification using photoplethysmography and light gradient boosting machine
X Hu, S Yin, X Zhang, C Menon, C Fang… - Frontiers in …, 2023 - frontiersin.org
Introduction: Globally, hypertension (HT) is a substantial risk factor for cardiovascular
disease and mortality; hence, rapid identification and treatment of HT is crucial. In this study …
disease and mortality; hence, rapid identification and treatment of HT is crucial. In this study …
An artificial intelligence-based tool for data analysis and prognosis in cancer patients: results from the clarify study
Simple Summary Cancer is associated with significant morbimortality worldwide. Although
significant advances have been made in the last few decades in terms of early detection and …
significant advances have been made in the last few decades in terms of early detection and …