Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective

M Sufyan, Z Shokat, UA Ashfaq - Computers in Biology and Medicine, 2023 - Elsevier
Artificial intelligence (AI) in healthcare plays a pivotal role in combating many fatal diseases,
such as skin, breast, and lung cancer. AI is an advanced form of technology that uses …

[HTML][HTML] Artificial intelligence assists precision medicine in cancer treatment

J Liao, X Li, Y Gan, S Han, P Rong, W Wang… - Frontiers in …, 2023 - frontiersin.org
Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the
same drugs or surgical methods in patients with the same tumor may have different curative …

A survey of ensemble learning: Concepts, algorithms, applications, and prospects

ID Mienye, Y Sun - IEEE Access, 2022 - ieeexplore.ieee.org
Ensemble learning techniques have achieved state-of-the-art performance in diverse
machine learning applications by combining the predictions from two or more base models …

A deep learning ensemble with data resampling for credit card fraud detection

ID Mienye, Y Sun - IEEE Access, 2023 - ieeexplore.ieee.org
Credit cards play an essential role in today's digital economy, and their usage has recently
grown tremendously, accompanied by a corresponding increase in credit card fraud …

[HTML][HTML] Application of artificial intelligence in diagnosis and treatment of colorectal cancer: A novel Prospect

Z Yin, C Yao, L Zhang, S Qi - Frontiers in Medicine, 2023 - frontiersin.org
In the past few decades, according to the rapid development of information technology,
artificial intelligence (AI) has also made significant progress in the medical field. Colorectal …

The role of deep learning in diagnosing colorectal cancer

D Bousis, GI Verras, K Bouchagier… - Gastroenterology …, 2023 - termedia.pl
Colon cancer is a major public health issue, affecting a growing number of individuals
worldwide. Proper and early diagnosis of colon cancer is the necessary first step toward …

Why do errors arise in artificial intelligence diagnostic tools in histopathology and how can we minimize them?

H Evans, D Snead - Histopathology, 2024 - Wiley Online Library
Artificial intelligence (AI)‐based diagnostic tools can offer numerous benefits to the field of
histopathology, including improved diagnostic accuracy, efficiency and productivity. As a …

COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images

HC Reis, V Turk - Artificial Intelligence in Medicine, 2022 - Elsevier
Abstract COVID-19 (SARS-CoV-2), which causes acute respiratory syndrome, is a
contagious and deadly disease that has devastating effects on society and human life …

[HTML][HTML] A review and comparative study of cancer detection using machine learning: SBERT and SimCSE application

M Mokoatle, V Marivate, D Mapiye, R Bornman… - BMC …, 2023 - Springer
Background Using visual, biological, and electronic health records data as the sole input
source, pretrained convolutional neural networks and conventional machine learning …

Tissue classification and diagnosis of colorectal cancer histopathology images using deep learning algorithms. Is the time ripe for clinical practice implementation?

DD Chlorogiannis, GI Verras, V Tzelepi… - Gastroenterology …, 2023 - termedia.pl
Colorectal cancer is one of the most prevalent types of cancer, with histopathologic
examination of biopsied tissue samples remaining the gold standard for diagnosis. During …