AIMC Topic: ROC Curve
Clear Filters Showing 2661 to 2670 of 3220 articles
Deep learning MRI-based radiomic models for predicting recurrence in locally advanced nasopharyngeal carcinoma after neoadjuvant chemoradiotherapy: a multi-center study.
Clinical & experimental metastasis
May 15, 2025
Local recurrence and distant metastasis were a common manifestation of locoregionally advanced nasopharyngeal carcinoma (LA-NPC) after neoadjuvant chemoradiotherapy (NACT). To validate the clinical value of MRI radiomic models based on deep learning ...
Machine learning prediction model of prolonged delay to loop ileostomy closure after rectal cancer surgery: a retrospective study.
World journal of surgical oncology
May 14, 2025
BACKGROUND: Delayed closure of a temporary ileostomy in patients with rectal cancer may cause psychological, physiological, and socioeconomic burdens to patients.
Optimizing breast lesions diagnosis and decision-making with a deep learning fusion model integrating ultrasound and mammography: a dual-center retrospective study.
Breast cancer research : BCR
May 14, 2025
BACKGROUND: This study aimed to develop a BI-RADS network (DL-UM) via integrating ultrasound (US) and mammography (MG) images and explore its performance in improving breast lesion diagnosis and management when collaborating with radiologists, partic...
Prognostic value of circadian rhythm-associated genes in breast cancer.
World journal of surgical oncology
May 14, 2025
OBJECTIVE: Breast cancer (BC) remains the most prevalent malignancy among women. Clinical evidence indicates that genetic variations related to circadian rhythms, as well as the timing of therapeutic interventions, influence the response to radiation...
M-GNN: A Graph Neural Network Framework for Lung Cancer Detection Using Metabolomics and Heterogeneous Graph Modeling.
International journal of molecular sciences
May 13, 2025
Lung cancer remains the leading cause of cancer-related mortality worldwide, with early detection critical for improving survival rates, yet conventional methods like CT scans often yield high false-positive rates. This study introduces M-GNN, a grap...
Analyzing Key Predictors of Postoperative Delirium Following Coronary Artery Bypass Grafting and Aortic Valve Replacement: A Machine Learning Perspective.
Medicina (Kaunas, Lithuania)
May 13, 2025
: Postoperative delirium (POD) is a frequent and severe complication following cardiac surgery, particularly in high-risk patients undergoing coronary artery bypass grafting (CABG) and aortic valve replacement (AVR). Despite extensive research, predi...
Deep learning based on ultrasound images to predict platinum resistance in patients with epithelial ovarian cancer.
Biomedical engineering online
May 13, 2025
BACKGROUND: The study aimed at developing and validating a deep learning (DL) model based on the ultrasound imaging for predicting the platinum resistance of patients with epithelial ovarian cancer (EOC).
An MRI-based deep transfer learning radiomics nomogram for predicting meningioma grade.
Scientific reports
May 13, 2025
The aim of this study was to establish a nomogram based on clinical, radiomics, and deep transfer learning (DTL) features to predict meningioma grade. Three hundred forty meningiomas from one hospital composed the training set, and 102 meningiomas fr...
Identification of potential metabolic biomarkers and immune cell infiltration for metabolic associated steatohepatitis by bioinformatics analysis and machine learning.
Scientific reports
May 13, 2025
BACKGROUND: Metabolic associated steatohepatitis (MASH) represents a severe subtype of metabolic associated fatty liver disease (MASLD), with an increased risk of progression to cirrhosis and hepatocellular carcinoma. The nomenclature shift from nona...
Constructing a prediction model for acute pancreatitis severity based on liquid neural network.
Scientific reports
May 13, 2025
Acute pancreatitis (AP) is a common disease, and severe acute pancreatitis (SAP) has a high morbidity and mortality rate. Early recognition of SAP is crucial for prognosis. This study aimed to develop a novel liquid neural network (LNN) model for pre...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30619
- Neural Networks, Computer 29506
- Algorithms 26548
- Deep Learning 26025
- Artificial Intelligence 24055
- Robotics 13286
- Image Processing, Computer-Assisted 9387
- Retrospective Studies 8943
- Magnetic Resonance Imaging 6074
- Reproducibility of Results 5540
- Tomography, X-Ray Computed 4682
- Support Vector Machine 4644
- Computational Biology 4191
- Brain 3993
- Computer Simulation 3858
Recent Journals
- Scientific reports 5371
- Sensors (Basel, Switzerland) 4794
- PloS one 3990
- Neural networks : the official journal of the International Neural Network Society 2927
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1839
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1122
- Journal of chemical information and modeling 987
- Nature communications 889
- Computer methods and programs in biomedicine 863
- Bioinformatics (Oxford, England) 859
- Briefings in bioinformatics 849
- IEEE transactions on neural networks and learning systems 822