Artificial intelligence in oncology: Path to implementation

IS Chua, M Gaziel‐Yablowitz, ZT Korach… - Cancer …, 2021 - Wiley Online Library
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 …

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 …

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 …

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 …

Towards the interpretability of machine learning predictions for medical applications targeting personalised therapies: A cancer case survey

AJ Banegas-Luna, J Peña-García, A Iftene… - International Journal of …, 2021 - mdpi.com
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 …

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 …

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 …

[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 …

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 …

An artificial intelligence-based tool for data analysis and prognosis in cancer patients: results from the clarify study

M Torrente, PA Sousa, R Hernández, M Blanco… - Cancers, 2022 - mdpi.com
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 …