AIMC Journal:
Scientific reports

Showing 1241 to 1250 of 5366 articles

Automatic ovarian follicle detection using object detection models.

Scientific reports Dec 30, 2024
Ovaries are of paramount importance in reproduction as they produce female gametes through a complex developmental process known as folliculogenesis. In the prospect of better understanding the mechanisms of folliculogenesis and of developing novel p...
Ovarian Follicle Animals Deep Learning Humans Image Processing, Computer-Assisted Female
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A density-based MS disease diagnosis model using the capuchin search algorithm and an ensemble of deep neural networks.

Scientific reports Dec 30, 2024
Multiple sclerosis (MS) is a severe brain disease that permanently destroys brain cells, impacting vision, balance, muscle control, and daily activity. This research employs a weighted combination of deep neural networks and optimization techniques f...
Humans Magnetic Resonance Imaging Neural Networks, Computer Principal Component Analysis Algorithms Multiple Sclerosis Brain Image Processing, Computer-Assisted
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An effective method for detecting the wheat freshness by integrating biophotonics and machine learning algorithm.

Scientific reports Dec 30, 2024
The accurate and timely assessment of wheat freshness is not only a complex scientific endeavor but also a critical aspect of grain storage safety. This study introduces an innovative approach for evaluating wheat freshness by integrating machine lea...
Machine Learning Algorithms Support Vector Machine Triticum
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Classification of cervical cancer using Dense CapsNet with Seg-UNet and denoising autoencoders.

Scientific reports Dec 30, 2024
Cervical cancer is one of the deadly diseases that affects women, which requires periodic examinations to identify and treat any cancerous tumors at a preliminary stage. The most prevalent examination tool for cervical cancer prompt identification is...
Uterine Cervical Neoplasms Deep Learning Image Processing, Computer-Assisted Machine Learning Algorithms Humans Female Neural Networks, Computer
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Predicting patients' sentiments about medications using artificial intelligence techniques.

Scientific reports Dec 30, 2024
The increasing development of technology has led to the increase of digital data in various fields, such as medication-related texts. Sentiment Analysis (SA) in medication is essential to give clinicians insights into patients' feedback about the tre...
Algorithms Deep Learning Natural Language Processing Pharmaceutical Preparations Humans Artificial Intelligence Machine Learning
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Radiomics for differentiating adenocarcinoma and squamous cell carcinoma in non-small cell lung cancer beyond nodule morphology in chest CT.

Scientific reports Dec 30, 2024
Distinguishing between primary adenocarcinoma (AC) and squamous cell carcinoma (SCC) within non-small cell lung cancer (NSCLC) tumours holds significant management implications. We assessed the performance of radiomics-based models in distinguishing ...
Adenocarcinoma of Lung Male Middle Aged Lung Neoplasms Adenocarcinoma Carcinoma, Squamous Cell Humans Carcinoma, Non-Small-Cell Lung Aged Diagnosis, Differential Algorithms Machine Learning Radiomics Tomography, X-Ray Computed Female
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A deep learning-based ADRPPA algorithm for the prediction of diabetic retinopathy progression.

Scientific reports Dec 30, 2024
As an alternative to assessments performed by human experts, artificial intelligence (AI) is currently being used for screening fundus images and monitoring diabetic retinopathy (DR). Although AI models can provide quasi-clinician diagnoses, they rar...
Disease Progression Deep Learning Prognosis Retrospective Studies Female Aged Male Middle Aged Diabetic Retinopathy Neural Networks, Computer Algorithms Humans
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A machine learning-based clinical predictive tool to identify patients at high risk of medication errors.

Scientific reports Dec 30, 2024
A medication error is an inadvertent failure in the drug therapy process that can cause serious harm to patients by increasing morbidity and mortality and are associated with significant economic costs to the healthcare system. Medication reconciliat...
Machine Learning Patient Safety Retrospective Studies Humans Adult Male Middle Aged Electronic Health Records Female Aged Medication Errors Medication Reconciliation
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Identification of sepsis-associated encephalopathy biomarkers through machine learning and bioinformatics approaches.

Scientific reports Dec 30, 2024
Sepsis-associated encephalopathy (SAE) is common in septic patients, characterized by acute and long-term cognitive impairment, and is associated with higher mortality. This study aimed to identify SAE-related biomarkers and evaluate their diagnostic...
Gene Regulatory Networks Computational Biology Sepsis-Associated Encephalopathy Humans Machine Learning Biomarkers Sepsis
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Analysis of diagnostic genes and molecular mechanisms of Crohn's disease and colon cancer based on machine learning algorithms.

Scientific reports Dec 30, 2024
Crohn's disease (CD) is a chronic inflammatory bowel condition, and colon adenocarcinoma (COAD), as one of the most prevalent malignant tumors of the digestive tract, has been indicated by research to have a close association with CD. This study empl...
Protein Interaction Maps Gene Regulatory Networks Computational Biology Biomarkers, Tumor Gene Expression Profiling Humans ROC Curve Machine Learning Algorithms Gene Expression Regulation, Neoplastic Crohn Disease Adenocarcinoma Colonic Neoplasms Databases, Genetic Matrix Metalloproteinase 3
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