AIMC Topic: Datasets as Topic

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Predicting stroke severity of patients using interpretable machine learning algorithms.

European journal of medical research Nov 14, 2024
BACKGROUND: Stroke is a significant global health concern, ranking as the second leading cause of death and placing a substantial financial burden on healthcare systems, particularly in low- and middle-income countries. Timely evaluation of stroke se...
Risk Factors Aged Young Adult Adult Male Middle Aged Registries Machine Learning Stroke Retrospective Studies Iran Female Datasets as Topic Humans Triglycerides Age Factors Severity of Illness Index Predictive Value of Tests Length of Stay Area Under Curve Adolescent
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Large-scale multi-center CT and MRI segmentation of pancreas with deep learning.

Medical image analysis Nov 8, 2024
Automated volumetric segmentation of the pancreas on cross-sectional imaging is needed for diagnosis and follow-up of pancreatic diseases. While CT-based pancreatic segmentation is more established, MRI-based segmentation methods are understudied, la...
Datasets as Topic Pancreas Tomography, X-Ray Computed Deep Learning Magnetic Resonance Imaging Humans Pancreatic Diseases Retrospective Studies
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Automated real-world data integration improves cancer outcome prediction.

Nature Nov 6, 2024
The digitization of health records and growing availability of tumour DNA sequencing provide an opportunity to study the determinants of cancer outcomes with unprecedented richness. Patient data are often stored in unstructured text and siloed datase...
Automation Immunotherapy Natural Language Processing Registries Models, Biological Neoplasm Metastasis Datasets as Topic Male Neoplasms Genomics Prognosis Electronic Health Records Female Humans Machine Learning
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Publicly Available Dental Image Datasets for Artificial Intelligence.

Journal of dental research Oct 18, 2024
The development of artificial intelligence (AI) in dentistry requires large and well-annotated datasets. However, the availability of public dental imaging datasets remains unclear. This study aimed to provide a comprehensive overview of all publicly...
Databases, Factual Datasets as Topic Humans Artificial Intelligence
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Automated tumor localization and segmentation through hybrid neural network in head and neck cancer.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Oct 10, 2024
PURPOSE: Head and Neck (H&N) cancer accounts for 3% of cancer cases in the United States. Precise tumor segmentation in H&N is of utmost importance for treatment planning and administering personalized treatment dose. We aimed to develop an automatic...
Deep Learning Humans Head and Neck Neoplasms Neural Networks, Computer Neoplasm Staging Datasets as Topic
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Hyperparameter selection for dataset-constrained semantic segmentation: Practical machine learning optimization.

Journal of applied clinical medical physics Oct 10, 2024
PURPOSE/AIM: This paper provides a pedagogical example for systematic machine learning optimization in small dataset image segmentation, emphasizing hyperparameter selections. A simple process is presented for medical physicists to examine hyperparam...
Humans Image Processing, Computer-Assisted Datasets as Topic Semantics Machine Learning Algorithms Tomography, X-Ray Computed
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Spatially Informed Graph Structure Learning Extracts Insights from Spatial Transcriptomics.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Oct 9, 2024
Embeddings derived from cell graphs hold significant potential for exploring spatial transcriptomics (ST) datasets. Nevertheless, existing methodologies rely on a graph structure defined by spatial proximity, which inadequately represents the diversi...
Humans Cell Communication Datasets as Topic Graph Neural Networks Prefrontal Cortex Breast Neoplasms Mice Animals Epithelial-Mesenchymal Transition Gene Expression Profiling
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Developing and Validating a Multimodal Dataset for Neonatal Pain Assessment to Improve AI Algorithms With Clinical Data.

Advances in neonatal care : official journal of the National Association of Neonatal Nurses Oct 2, 2024
BACKGROUND: Using Artificial Intelligence (AI) for neonatal pain assessment has great potential, but its effectiveness depends on accurate data labeling. Therefore, precise and reliable neonatal pain datasets are essential for managing neonatal pain.
Male Pain Measurement Humans Pain Artificial Intelligence Female Algorithms Infant, Newborn Reproducibility of Results Datasets as Topic
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Feature-based detection of breast cancer using convolutional neural network and feature engineering.

Scientific reports Sep 27, 2024
Breast cancer (BC) is a prominent cause of female mortality on a global scale. Recently, there has been growing interest in utilizing blood and tissue-based biomarkers to detect and diagnose BC, as this method offers a non-invasive approach. To impro...
Breast Neoplasms Data Display Biomarkers Humans Convolutional Neural Networks Computer Simulation Machine Learning Datasets as Topic Female Data Analysis
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Joint inference of discrete cell types and continuous type-specific variability in single-cell datasets with MMIDAS.

Nature computational science Sep 23, 2024
Reproducible definition and identification of cell types is essential to enable investigations into their biological function and to understand their relevance in the context of development, disease and evolution. Current approaches model variability...
Single-Cell Analysis Computational Biology Cluster Analysis Algorithms Humans Brain Datasets as Topic Neural Networks, Computer Animals
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