AIMC Topic:
Female
Clear Filters Showing 1891 to 1900 of 24669 articles
Identifying periphery biomarkers of first-episode drug-naïve patients with schizophrenia using machine-learning-based strategies.
Progress in neuro-psychopharmacology & biological psychiatry
Feb 25, 2025
Schizophrenia is a complex mental disorder. Accurate diagnosis and classification of schizophrenia has always been a major challenge in clinic due to the lack of biomarkers. Therefore, identifying molecular biomarkers, particularly in the peripheral ...
Serum Metabolomics Profiling Coupled with Machine Learning Identifies Potential Diagnostic and Prognostic Candidate Markers in Meningioma Using Raman Spectroscopy, ATR-FTIR, and LC-MS/MS.
Journal of proteome research
Feb 25, 2025
Meningioma, the most prevalent brain tumor, poses significant challenges due to its unclear transition from low-grade to aggressive forms, with limited knowledge about grade-specific markers. We have utilized vibrational spectroscopic techniques such...
Biomarkers, Tumor
Male
Middle Aged
Liquid Chromatography-Mass Spectrometry
Spectrum Analysis, Raman
Case-Control Studies
Tandem Mass Spectrometry
Humans
Spectroscopy, Fourier Transform Infrared
Prognosis
Meningioma
Machine Learning
Metabolomics
Female
Meningeal Neoplasms
Chromatography, Liquid
Aged
Adult
The feasibility and cost-effectiveness of implementing mobile low-dose computed tomography with an AI-based diagnostic system in underserved populations.
BMC cancer
Feb 25, 2025
BACKGROUND: Low-dose computed tomography (LDCT) significantly increases early detection rates of lung cancer and reduces lung cancer-related mortality by 20%. However, many significant screening barriers remain. This study conduct an initial feasibil...
Decoding breast cancer imaging trends: the role of AI and radiomics through bibliometric insights.
Breast cancer research : BCR
Feb 25, 2025
BACKGROUND: Radiomics and AI have been widely used in breast cancer imaging, but a comprehensive systematic analysis is lacking. Therefore, this study aims to conduct a bibliometrics analysis in this field to discuss its research status and frontier ...
Preoperative clinical radiomics model based on deep learning in prognostic assessment of patients with gallbladder carcinoma.
BMC cancer
Feb 25, 2025
OBJECTIVE: We aimed to develop a preoperative clinical radiomics survival prediction model based on the radiomics features via deep learning to provide a reference basis for preoperative assessment and treatment decisions for patients with gallbladde...
Machine learning for temporary stoma after intestinal resection in surgical decision-making of Crohn's disease.
BMC gastroenterology
Feb 25, 2025
BACKGROUND: Crohn's disease (CD) often necessitates surgical intervention, with temporary stoma creation after intestinal resection (IR) being a crucial decision. This study aimed to construct novel models based on machine learning (ML) to predict te...
Detecting severe coronary artery stenosis in T2DM patients with NAFLD using cardiac fat radiomics-based machine learning.
Scientific reports
Feb 25, 2025
To analyze radiomics features of cardiac adipose tissue in individuals with type 2 diabetes (T2DM) and non-alcoholic fatty liver disease (NAFLD), integrating relevant clinical indicators, and employing machine learning techniques to construct a preci...
Urban and rural disparities in stroke prediction using machine learning among Chinese older adults.
Scientific reports
Feb 25, 2025
Stroke is a significant health concern in China. Differences in stroke risk between rural and urban areas have been highlighted in prior research. However, there is a scarcity of studies on urban-rural differences in predicting stroke. This study aim...
Predicting 90-day risk of urinary tract infections following urostomy in bladder cancer patients using machine learning and explainability.
Scientific reports
Feb 25, 2025
This research aims to design and validate a machine learning model to predict the probability of urinary tract infections within 90 days post-urostomy in bladder cancer patients. Clinical and follow-up information from 317 patients who had urostomy p...
Development and validation of a deep reinforcement learning algorithm for auto-delineation of organs at risk in cervical cancer radiotherapy.
Scientific reports
Feb 25, 2025
This study was conducted to develop and validate a novel deep reinforcement learning (DRL) algorithm incorporating the segment anything model (SAM) to enhance the accuracy of automatic contouring organs at risk during radiotherapy for cervical cancer...
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 30540
- Neural Networks, Computer 29463
- Algorithms 26500
- Deep Learning 25983
- Artificial Intelligence 24008
- Robotics 13278
- Image Processing, Computer-Assisted 9374
- Retrospective Studies 8929
- Magnetic Resonance Imaging 6071
- Reproducibility of Results 5535
- Tomography, X-Ray Computed 4676
- Support Vector Machine 4639
- Computational Biology 4186
- Brain 3988
- Computer Simulation 3855
Recent Journals
- Scientific reports 5361
- Sensors (Basel, Switzerland) 4794
- PloS one 3936
- Neural networks : the official journal of the International Neural Network Society 2927
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1822
- 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 1118
- Journal of chemical information and modeling 960
- Nature communications 889
- Computer methods and programs in biomedicine 863
- Bioinformatics (Oxford, England) 854
- Briefings in bioinformatics 849
- IEEE transactions on neural networks and learning systems 817