AIMC Journal:
Scientific reports

Showing 1831 to 1840 of 5371 articles

Interpretable machine learning for the prediction of death risk in patients with acute diquat poisoning.

Scientific reports Jul 12, 2024
The aim of this study was to develop and validate predictive models for assessing the risk of death in patients with acute diquat (DQ) poisoning using innovative machine learning techniques. Additionally, predictive models were evaluated through the ...
Adult Male Risk Assessment Humans Middle Aged Diquat China Machine Learning Logistic Models ROC Curve Female Support Vector Machine
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Medical intelligence using PPG signals and hybrid learning at the edge to detect fatigue in physical activities.

Scientific reports Jul 12, 2024
The educational environment plays a vital role in the development of students who participate in athletic pursuits both in terms of their physical health and their ability to detect fatigue. As a result of recent advancements in deep learning and bio...
Humans Male Neural Networks, Computer Photoplethysmography Female Exercise Signal Processing, Computer-Assisted Young Adult Deep Learning Fatigue
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Establishment of a corneal ulcer prognostic model based on machine learning.

Scientific reports Jul 12, 2024
Corneal infection is a major public health concern worldwide and the most common cause of unilateral corneal blindness. Toxic effects of different microorganisms, such as bacteria and fungi, worsen keratitis leading to corneal perforation even with o...
ROC Curve Humans Visual Acuity Machine Learning Corneal Ulcer Male Middle Aged Deep Learning Aged Aged, 80 and over Adult Prognosis Female
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Fair AI-powered orthopedic image segmentation: addressing bias and promoting equitable healthcare.

Scientific reports Jul 12, 2024
AI-powered segmentation of hip and knee bony anatomy has revolutionized orthopedics, transforming pre-operative planning and post-operative assessment. Despite the remarkable advancements in AI algorithms for medical imaging, the potential for biases...
Algorithms Tomography, X-Ray Computed Humans Artificial Intelligence Magnetic Resonance Imaging Bias Knee Joint Female Hip Joint Aged Male Knee Adult Middle Aged Image Processing, Computer-Assisted Orthopedics
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Optimizing word embeddings for small dataset: a case study on patient portal messages from breast cancer patients.

Scientific reports Jul 12, 2024
Patient portal messages often relate to specific clinical phenomena (e.g., patients undergoing treatment for breast cancer) and, as a result, have received increasing attention in biomedical research. These messages require natural language processin...
Natural Language Processing Semantics Patient Portals Electronic Health Records Female Breast Neoplasms Humans
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Gut microbiota-based machine-learning signature for the diagnosis of alcohol-associated and metabolic dysfunction-associated steatotic liver disease.

Scientific reports Jul 12, 2024
Alcoholic-associated liver disease (ALD) and metabolic dysfunction-associated steatotic liver disease (MASLD) show a high prevalence rate worldwide. As gut microbiota represents current state of ALD and MASLD via gut-liver axis, typical characteristi...
Fatty Liver Gastrointestinal Microbiome RNA, Ribosomal, 16S Middle Aged Feces ROC Curve Liver Diseases, Alcoholic Humans Machine Learning Algorithms Adult Male Female Aged
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Assessing accuracy and consistency in intracranial aneurysm sizing: human expertise vs. artificial intelligence.

Scientific reports Jul 12, 2024
Intracranial aneurysms (IAs) are a common vascular pathology and are associated with a risk of rupture, which is often fatal. Aneurysm growth of more than 1 mm is considered a surrogate of rupture risk, therefore, this study presents a comprehensive ...
Observer Variation Computed Tomography Angiography Intracranial Aneurysm Aged Male Middle Aged Female Reproducibility of Results Humans Artificial Intelligence
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Morphological classification of neurons based on Sugeno fuzzy integration and multi-classifier fusion.

Scientific reports Jul 11, 2024
In order to extract more important morphological features of neuron images and achieve accurate classification of the neuron type, a method is proposed that uses Sugeno fuzzy integral integration of three optimized deep learning models, namely AlexNe...
Algorithms Deep Learning Image Processing, Computer-Assisted Fuzzy Logic Humans Neural Networks, Computer Neurons
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Enhancing agriculture through real-time grape leaf disease classification via an edge device with a lightweight CNN architecture and Grad-CAM.

Scientific reports Jul 11, 2024
Crop diseases can significantly affect various aspects of crop cultivation, including crop yield, quality, production costs, and crop loss. The utilization of modern technologies such as image analysis via machine learning techniques enables early an...
Vitis Image Processing, Computer-Assisted Neural Networks, Computer Crops, Agricultural Machine Learning Agriculture Plant Diseases Plant Leaves
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Diagnostic accuracy of artificial intelligence in detecting left ventricular hypertrophy by electrocardiograph: a systematic review and meta-analysis.

Scientific reports Jul 10, 2024
Several studies suggested the utility of artificial intelligence (AI) in screening left ventricular hypertrophy (LVH). We hence conducted systematic review and meta-analysis comparing diagnostic accuracy of AI to Sokolow-Lyon's and Cornell's criteria...
Sensitivity and Specificity ROC Curve Electrocardiography Hypertrophy, Left Ventricular Humans Artificial Intelligence Algorithms
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