Artificial intelligence and machine learning in cancer imaging

DM Koh, N Papanikolaou, U Bick, R Illing… - Communications …, 2022 - nature.com
An increasing array of tools is being developed using artificial intelligence (AI) and machine
learning (ML) for cancer imaging. The development of an optimal tool requires …

Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools

R Ranjbarzadeh, A Caputo, EB Tirkolaee… - Computers in biology …, 2023 - Elsevier
Background Brain cancer is a destructive and life-threatening disease that imposes
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …

Optimized glycemic control of type 2 diabetes with reinforcement learning: a proof-of-concept trial

G Wang, X Liu, Z Ying, G Yang, Z Chen, Z Liu… - Nature Medicine, 2023 - nature.com
The personalized titration and optimization of insulin regimens for treatment of type 2
diabetes (T2D) are resource-demanding healthcare tasks. Here we propose a model-based …

Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment

S Khalighi, K Reddy, A Midya, KB Pandav… - NPJ precision …, 2024 - nature.com
This review delves into the most recent advancements in applying artificial intelligence (AI)
within neuro-oncology, specifically emphasizing work on gliomas, a class of brain tumors …

Technological advancements in cancer diagnostics: Improvements and limitations

A Pulumati, A Pulumati, BS Dwarakanath… - Cancer …, 2023 - Wiley Online Library
Background Cancer is characterized by the rampant proliferation, growth, and infiltration of
malignantly transformed cancer cells past their normal boundaries into adjacent tissues. It is …

Cancer epigenetics: From laboratory studies and clinical trials to precision medicine

X Yu, H Zhao, R Wang, Y Chen, X Ouyang, W Li… - Cell Death …, 2024 - nature.com
Epigenetic dysregulation is a common feature of a myriad of human diseases, particularly
cancer. Defining the epigenetic defects associated with malignant tumors has become a …

The long-term health outcomes, pathophysiological mechanisms and multidisciplinary management of long COVID

J Li, Y Zhou, J Ma, Q Zhang, J Shao, S Liang… - Signal transduction and …, 2023 - nature.com
There have been hundreds of millions of cases of coronavirus disease 2019 (COVID-19),
which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). With …

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 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 …

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 …