Dynamic prediction of hypoxemia risk at different time points based on preoperative and intraoperative features: machine learning applications in outpatients undergoing esophagogastroduodenoscopy
Sign Up to like & getrecommendations! Published in 2023 at "Annals of Medicine"
DOI: 10.1080/07853890.2023.2187878
Abstract: Abstract Background Hypoxemia often occurs in outpatients undergoing anesthesia-assisted esophagogastroduodenoscopy (EGD). However, there is a scarcity in tools to predict the hypoxemia risk. We aimed to solve this problem by developing and validating machine learning… read more here.
Keywords: outpatients undergoing; based preoperative; risk; hypoxemia risk ... See more keywords
Deep learning based on preoperative MR images improves the predictive power of survival models in primary spinal cord astrocytomas.
Sign Up to like & getrecommendations! Published in 2022 at "Neuro-oncology"
DOI: 10.1093/neuonc/noac280
Abstract: BACKGROUND Prognostic models for spinal cord astrocytoma patients are lacking due to the low incidence of the disease. Here, we aim to develop a fully automated deep learning (DL) pipeline for stratified overall survival (OS)… read more here.
Keywords: based preoperative; year; preoperative images; prediction ... See more keywords
Prediction of the Molecular Subtype of IDH Mutation Combined with MGMT Promoter Methylation in Gliomas via Radiomics Based on Preoperative MRI
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DOI: 10.3390/cancers15051440
Abstract: Simple Summary Glioma is the most common primary brain tumour and main cause of death of those with primary brain tumours. Multiple studies have demonstrated that glioma patients with the molecular subtype of isocitrate dehydrogenase… read more here.
Keywords: preoperative mri; based preoperative; idh; model ... See more keywords