Application of artificial intelligence technology in oncology: Towards the establishment of precision medicine

R Hamamoto, K Suvarna, M Yamada, K Kobayashi… - Cancers, 2020 - mdpi.com
Simple Summary Artificial intelligence (AI) technology has been advancing rapidly in recent
years and is being implemented in society. The medical field is no exception, and the clinical …

Towards clinical application of artificial intelligence in ultrasound imaging

M Komatsu, A Sakai, A Dozen, K Shozu, S Yasutomi… - Biomedicines, 2021 - mdpi.com
Artificial intelligence (AI) is being increasingly adopted in medical research and applications.
Medical AI devices have continuously been approved by the Food and Drug Administration …

The development of a skin cancer classification system for pigmented skin lesions using deep learning

S Jinnai, N Yamazaki, Y Hirano, Y Sugawara, Y Ohe… - Biomolecules, 2020 - mdpi.com
Recent studies have demonstrated the usefulness of convolutional neural networks (CNNs)
to classify images of melanoma, with accuracies comparable to those achieved by …

Missing data in multi-omics integration: Recent advances through artificial intelligence

JE Flores, DM Claborne, ZD Weller… - Frontiers in Artificial …, 2023 - frontiersin.org
Biological systems function through complex interactions between various 'omics
(biomolecules), and a more complete understanding of these systems is only possible …

[HTML][HTML] AI-assisted Screening and Prevention Programs for Diseases

M Farrokhi, A Moeini, F Taheri, M Farrokhi… - Kindle, 2023 - preferpub.org
AI-assisted screening and prevention programs have the potential to revolutionize disease
management and improve public health outcomes. By harnessing the power of artificial …

[HTML][HTML] AI applications in functional genomics

C Caudai, A Galizia, F Geraci, L Le Pera… - Computational and …, 2021 - Elsevier
We review the current applications of artificial intelligence (AI) in functional genomics. The
recent explosion of AI follows the remarkable achievements made possible by “deep …

[HTML][HTML] AI and Deep Learning in Understanding the Etiology and Pathogenesis of Cancers

P Nemati, A Khalaji, Y Rajabloo, MH Kazemi, S Nouri… - Kindle, 2024 - preferpub.org
Artificial intelligence (AI) and deep learning have emerged as powerful tools in
understanding the etiology and pathogenesis of cancers. These technologies help uncover …

Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review

S Takahashi, Y Sakaguchi, N Kouno… - Journal of Medical …, 2024 - Springer
In the rapidly evolving field of medical image analysis utilizing artificial intelligence (AI), the
selection of appropriate computational models is critical for accurate diagnosis and patient …

Predicting deep learning based multi-omics parallel integration survival subtypes in lung cancer using reverse phase protein array data

S Takahashi, K Asada, K Takasawa, R Shimoyama… - Biomolecules, 2020 - mdpi.com
Mortality attributed to lung cancer accounts for a large fraction of cancer deaths worldwide.
With increasing mortality figures, the accurate prediction of prognosis has become essential …

Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine

R Hamamoto, K Takasawa, H Machino… - Briefings in …, 2022 - academic.oup.com
The increase in the expectations of artificial intelligence (AI) technology has led to machine
learning technology being actively used in the medical field. Non-negative matrix …