Translation of AI into oncology clinical practice

I El Naqa, A Karolak, Y Luo, L Folio, AA Tarhini… - Oncogene, 2023 - nature.com
Artificial intelligence (AI) is a transformative technology that is capturing popular imagination
and can revolutionize biomedicine. AI and machine learning (ML) algorithms have the …

Artificial intelligence in cancer research: trends, challenges and future directions

AM Sebastian, D Peter - Life, 2022 - mdpi.com
The World Health Organization (WHO), in their 2022 report, identified cancer as one of the
leading causes of death, accounting for about 16% of deaths worldwide. The Cancer …

[PDF][PDF] Has the future started? The current growth of artificial intelligence, machine learning, and deep learning

K Aggarwal, MM Mijwil, AH Al-Mistarehi… - Iraqi Journal for …, 2022 - iasj.net
In the modern era, many terms related to artificial intelligence, machine learning, and deep
learning are widely used in domains such as business, healthcare, industries, and military …

Artificial intelligence technologies for forecasting air pollution and human health: a narrative review

S Subramaniam, N Raju, A Ganesan, N Rajavel… - Sustainability, 2022 - mdpi.com
Air pollution is a major issue all over the world because of its impacts on the environment
and human beings. The present review discussed the sources and impacts of pollutants on …

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 …

Machine learning and AI in cancer prognosis, prediction, and treatment selection: a critical approach

B Zhang, H Shi, H Wang - Journal of multidisciplinary healthcare, 2023 - Taylor & Francis
Cancer is a leading cause of morbidity and mortality worldwide. While progress has been
made in the diagnosis, prognosis, and treatment of cancer patients, individualized and data …

Exploring the efficacy of multi-flavored feature extraction with radiomics and deep features for prostate cancer grading on mpMRI

H Khanfari, S Mehranfar, M Cheki… - BMC Medical …, 2023 - Springer
Background The purpose of this study is to investigate the use of radiomics and deep
features obtained from multiparametric magnetic resonance imaging (mpMRI) for grading …

[HTML][HTML] Deep learning facilitates multi-data type analysis and predictive biomarker discovery in cancer precision medicine

VB Mathema, P Sen, S Lamichhane, M Orešič… - Computational and …, 2023 - Elsevier
Cancer progression is linked to gene-environment interactions that alter cellular
homeostasis. The use of biomarkers as early indicators of disease manifestation and …

Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model …

A Barragán-Montero, A Bibal… - Physics in Medicine …, 2022 - iopscience.iop.org
The interest in machine learning (ML) has grown tremendously in recent years, partly due to
the performance leap that occurred with new techniques of deep learning, convolutional …

Emerging applications of machine learning in genomic medicine and healthcare

N Chafai, L Bonizzi, S Botti… - Critical Reviews in Clinical …, 2024 - Taylor & Francis
The integration of artificial intelligence technologies has propelled the progress of clinical
and genomic medicine in recent years. The significant increase in computing power has …