[HTML][HTML] The role of artificial intelligence in early cancer diagnosis

B Hunter, S Hindocha, RW Lee - Cancers, 2022 - mdpi.com
Simple Summary Diagnosing cancer at an early stage increases the chance of performing
effective treatment in many tumour groups. Key approaches include screening patients who …

Applications of multi‐omics analysis in human diseases

C Chen, J Wang, D Pan, X Wang, Y Xu, J Yan… - MedComm, 2023 - Wiley Online Library
Multi‐omics usually refers to the crossover application of multiple high‐throughput screening
technologies represented by genomics, transcriptomics, single‐cell transcriptomics …

[HTML][HTML] Deep learning with radiomics for disease diagnosis and treatment: challenges and potential

X Zhang, Y Zhang, G Zhang, X Qiu, W Tan, X Yin… - Frontiers in …, 2022 - frontiersin.org
The high-throughput extraction of quantitative imaging features from medical images for the
purpose of radiomic analysis, ie, radiomics in a broad sense, is a rapidly developing and …

[HTML][HTML] Artificial intelligence in pancreatic cancer

B Huang, H Huang, S Zhang, D Zhang, Q Shi, J Liu… - Theranostics, 2022 - ncbi.nlm.nih.gov
Pancreatic cancer is the deadliest disease, with a five-year overall survival rate of just 11%.
The pancreatic cancer patients diagnosed with early screening have a median overall …

Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives

NN Zhong, HQ Wang, XY Huang, ZZ Li, LM Cao… - Seminars in Cancer …, 2023 - Elsevier
Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …

Radiomics in prostate cancer: An up-to-date review

M Ferro, O de Cobelli, G Musi… - Therapeutic …, 2022 - journals.sagepub.com
Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male
population. The diagnosis, the identification of aggressive disease, and the post-treatment …

[HTML][HTML] Within-modality synthesis and novel radiomic evaluation of brain MRI scans

SM Rezaeijo, N Chegeni, F Baghaei Naeini, D Makris… - Cancers, 2023 - mdpi.com
Simple Summary Brain MRI scans often require different imaging sequences based on
tissue types, posing a common challenge. In our research, we propose a method that utilizes …

[HTML][HTML] Introduction to radiomics for a clinical audience

C McCague, S Ramlee, M Reinius, I Selby, D Hulse… - Clinical Radiology, 2023 - Elsevier
Radiomics is a rapidly developing field of research focused on the extraction of quantitative
features from medical images, thus converting these digital images into minable, high …

[HTML][HTML] Radiomics and artificial intelligence in prostate cancer: new tools for molecular hybrid imaging and theragnostics

V Liberini, R Laudicella, M Balma, DG Nicolotti… - European radiology …, 2022 - Springer
In prostate cancer (PCa), the use of new radiopharmaceuticals has improved the accuracy of
diagnosis and staging, refined surveillance strategies, and introduced specific and …

[HTML][HTML] Artificial intelligence in lung cancer imaging: unfolding the future

M Cellina, M Cè, G Irmici, V Ascenti, N Khenkina… - Diagnostics, 2022 - mdpi.com
Lung cancer is one of the malignancies with higher morbidity and mortality. Imaging plays
an essential role in each phase of lung cancer management, from detection to assessment …