[HTML][HTML] What benefit can be obtained from magnetic resonance imaging diagnosis with artificial intelligence in prostate cancer compared with clinical assessments?

LT Zhao, ZY Liu, WF Xie, LZ Shao, J Lu, J Tian… - Military Medical …, 2023 - Springer
The present study aimed to explore the potential of artificial intelligence (AI) methodology
based on magnetic resonance (MR) images to aid in the management of prostate cancer …

Radiomics systematic review in cervical cancer: gynecological oncologists' perspective

N Bizzarri, L Russo, M Dolciami… - International Journal of …, 2023 - ijgc.bmj.com
Objective Radiomics is the process of extracting quantitative features from radiological
images, and represents a relatively new field in gynecological cancers. Cervical cancer has …

Treatment planning computed tomography radiomics for predicting treatment outcomes and haematological toxicities in locally advanced cervical cancer treated with …

K Ren, L Shen, J Qiu, K Sun, T Chen… - … Journal of Obstetrics …, 2023 - Wiley Online Library
Objective We evaluated whether radiomic features extracted from planning computed
tomography (CT) scans predict clinical end points in patients with locally advanced cervical …

An MRI‐based machine learning radiomics can predict short‐term response to neoadjuvant chemotherapy in patients with cervical squamous cell carcinoma: A …

Z Xin, W Yan, Y Feng, L Yunzhi, Y Zhang… - Cancer …, 2023 - Wiley Online Library
Abstract Background and Purpose Neoadjuvant chemotherapy (NACT) has become an
essential component of the comprehensive treatment of cervical squamous cell carcinoma …