Artificial intelligence performance in image-based ovarian cancer identification: A systematic review and meta-analysis

HL Xu, TT Gong, FH Liu, HY Chen, Q Xiao, Y Hou… - …, 2022 - thelancet.com
Background Accurate identification of ovarian cancer (OC) is of paramount importance in
clinical treatment success. Artificial intelligence (AI) is a potentially reliable assistant for the …

Long non-coding RNA/epithelial-mesenchymal transition axis in human cancers: Tumorigenesis, chemoresistance, and radioresistance

M Hashemi, S Hajimazdarany, CD Mohan… - Pharmacological …, 2022 - Elsevier
Epithelial-to-mesenchymal transition (EMT) is a process that involves the transformation of
polarized epithelial cells to attain a mesenchymal phenotype that presents an elevated …

Artificial intelligence-based model for lymph node metastases detection on whole slide images in bladder cancer: a retrospective, multicentre, diagnostic study

S Wu, G Hong, A Xu, H Zeng, X Chen, Y Wang… - The Lancet …, 2023 - thelancet.com
Background Accurate lymph node staging is important for the diagnosis and treatment of
patients with bladder cancer. We aimed to develop a lymph node metastases diagnostic …

Artificial intelligence to detect the femoral intertrochanteric fracture: The arrival of the intelligent-medicine era

P Liu, L Lu, Y Chen, T Huo, M Xue, H Wang… - … in Bioengineering and …, 2022 - frontiersin.org
Objective: To explore a new artificial intelligence (AI)-aided method to assist the clinical
diagnosis of femoral intertrochanteric fracture (FIF), and further compare the performance …

Artificial intelligence-based risk stratification, accurate diagnosis and treatment prediction in gynecologic oncology

Y Jiang, C Wang, S Zhou - Seminars in cancer biology, 2023 - Elsevier
As data-driven science, artificial intelligence (AI) has paved a promising path toward an
evolving health system teeming with thrilling opportunities for precision oncology …

Exploring data mining and machine learning in gynecologic oncology

F Idlahcen, A Idri, E Goceri - Artificial Intelligence Review, 2024 - Springer
Gynecologic (GYN) malignancies are gaining new and much-needed attention, perpetually
fueling literature. Intra-/inter-tumor heterogeneity and “frightened” global distribution by race …

Current understanding on why ovarian cancer is resistant to immune checkpoint inhibitors

A Pawłowska, A Rekowska, W Kuryło… - International journal of …, 2023 - mdpi.com
The standard treatment of ovarian cancer (OC) patients, including debulking surgery and
first-line chemotherapy, is unsatisfactory because of recurrent episodes in the majority …

Role of artificial intelligence applied to ultrasound in gynecology oncology: A systematic review

F Moro, M Ciancia, D Zace, M Vagni… - … journal of cancer, 2024 - Wiley Online Library
The aim of this paper was to explore the role of artificial intelligence (AI) applied to
ultrasound imaging in gynecology oncology. Web of Science, PubMed, and Scopus …

Automatic ovarian tumors recognition system based on ensemble convolutional neural network with ultrasound imaging

ST Hsu, YJ Su, CH Hung, MJ Chen, CH Lu… - BMC Medical Informatics …, 2022 - Springer
Background Upon the discovery of ovarian cysts, obstetricians, gynecologists, and
ultrasound examiners must address the common clinical challenge of distinguishing …

Evolving the era of 5D ultrasound? A systematic literature review on the applications for artificial intelligence ultrasound imaging in obstetrics and gynecology

E Jost, P Kosian, J Jimenez Cruz, S Albarqouni… - Journal of Clinical …, 2023 - mdpi.com
Artificial intelligence (AI) has gained prominence in medical imaging, particularly in
obstetrics and gynecology (OB/GYN), where ultrasound (US) is the preferred method. It is …