Emerging role of artificial intelligence in diagnosis, classification and clinical management of glioma
Glioma represents a dominant primary intracranial malignancy in the central nervous
system. Artificial intelligence that mainly includes machine learning, and deep learning …
system. Artificial intelligence that mainly includes machine learning, and deep learning …
Artificial intelligence-driven biomedical genomics
As genomic research becomes more complex and data-rich, artificial intelligence (AI) has
emerged as a crucial tool for processing and analyzing high-dimensional genomic data …
emerged as a crucial tool for processing and analyzing high-dimensional genomic data …
Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer …
J Gu, T Tong, D Xu, F Cheng, C Fang, C He, J Wang… - Cancer, 2023 - Wiley Online Library
Background Neoadjuvant chemotherapy (NAC) can downstage tumors and axillary lymph
nodes in breast cancer (BC) patients. However, tumors and axillary response to NAC are not …
nodes in breast cancer (BC) patients. However, tumors and axillary response to NAC are not …
Fused deep learning paradigm for the prediction of o6-methylguanine-DNA methyltransferase genotype in glioblastoma patients: a neuro-oncological investigation
Abstract Background The O6-methylguanine-DNA methyltransferase (MGMT) is a
deoxyribonucleic acid (DNA) repairing enzyme that has been established as an essential …
deoxyribonucleic acid (DNA) repairing enzyme that has been established as an essential …
[HTML][HTML] Vision transformer-based weakly supervised histopathological image analysis of primary brain tumors
Z Li, Y Cong, X Chen, J Qi, J Sun, T Yan, H Yang, J Liu… - IScience, 2023 - cell.com
Diagnosis of primary brain tumors relies heavily on histopathology. Although various
computational pathology methods have been developed for automated diagnosis of primary …
computational pathology methods have been developed for automated diagnosis of primary …
A novel MRI-based deep learning networks combined with attention mechanism for predicting CDKN2A/B homozygous deletion status in IDH-mutant astrocytoma
L Zhang, R Wang, J Gao, Y Tang, X Xu, Y Kan… - European …, 2024 - Springer
Objectives To develop a high-accuracy MRI-based deep learning method for predicting
cyclin-dependent kinase inhibitor 2A/B (CDKN2A/B) homozygous deletion status in …
cyclin-dependent kinase inhibitor 2A/B (CDKN2A/B) homozygous deletion status in …
Preoperative prediction of MGMT promoter methylation in glioblastoma based on multiregional and multi-sequence MRI radiomics analysis
L Li, F Xiao, S Wang, S Kuang, Z Li, Y Zhong, D Xu… - Scientific Reports, 2024 - nature.com
Abstract O6-methylguanine-DNA methyltransferase (MGMT) has been demonstrated to be
an important prognostic and predictive marker in glioblastoma (GBM). To establish a reliable …
an important prognostic and predictive marker in glioblastoma (GBM). To establish a reliable …
[HTML][HTML] MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models
The number of studies on deep learning for medical diagnosis is expanding, and these
systems are often claimed to outperform clinicians. However, only a few systems have …
systems are often claimed to outperform clinicians. However, only a few systems have …
Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium
Abstract Purpose While the T2-FLAIR mismatch sign is highly specific for isocitrate
dehydrogenase (IDH)-mutant, 1p/19q-noncodeleted astrocytomas among lower-grade …
dehydrogenase (IDH)-mutant, 1p/19q-noncodeleted astrocytomas among lower-grade …
Artificial intelligence in the radiomic analysis of glioblastomas: A review, taxonomy, and perspective
Radiological imaging techniques, including magnetic resonance imaging (MRI) and positron
emission tomography (PET), are the standard-of-care non-invasive diagnostic approaches …
emission tomography (PET), are the standard-of-care non-invasive diagnostic approaches …