AIMC Journal:
Scientific reports

Showing 1881 to 1890 of 5865 articles

Using machine learning to develop a stacking ensemble learning model for the CT radiomics classification of brain metastases.

Scientific reports Nov 19, 2024
The objective of this study was to explore the potential of machine-learning techniques in the automatic identification and classification of brain metastases from a radiomic perspective, aiming to improve the accuracy of tumor volume assessment for ...
Support Vector Machine Tumor Burden Tomography, X-Ray Computed Male Female Middle Aged Aged Machine Learning Radiomics Algorithms Brain Neoplasms Humans Brain Neural Networks, Computer
View on PubMed DOI

Roman urdu hate speech detection using hybrid machine learning models and hyperparameter optimization.

Scientific reports Nov 19, 2024
With the rapid increase of users over social media, cyberbullying, and hate speech problems have arisen over the past years. Automatic hate speech detection (HSD) from text is an emerging research problem in natural language processing (NLP). Researc...
Humans Deep Learning Speech Natural Language Processing Machine Learning Algorithms Language Bayes Theorem Hate
View on PubMed DOI

A machine learning prediction model for Cardiac Amyloidosis using routine blood tests in patients with left ventricular hypertrophy.

Scientific reports Nov 19, 2024
Current approaches for cardiac amyloidosis (CA) identification are time-consuming, labor-intensive, and present challenges in sensitivity and accuracy, leading to limited treatment efficacy and poor prognosis for patients. In this retrospective study...
Hypertrophy, Left Ventricular Biomarkers Hematologic Tests Retrospective Studies Middle Aged Female Humans Amyloidosis Aged Machine Learning Male Algorithms
View on PubMed DOI

Experts fail to reliably detect AI-generated histological data.

Scientific reports Nov 19, 2024
AI-based methods to generate images have seen unprecedented advances in recent years challenging both image forensic and human perceptual capabilities. Accordingly, these methods are expected to play an increasingly important role in the fraudulent f...
Artificial Intelligence Humans Algorithms Image Processing, Computer-Assisted
View on PubMed DOI

Foot fractures diagnosis using a deep convolutional neural network optimized by extreme learning machine and enhanced snow ablation optimizer.

Scientific reports Nov 18, 2024
The current investigation proposes a novel hybrid methodology for the diagnosis of the foot fractures. The method uses a combination of deep learning methods and a metaheuristic to provide an efficient model for the diagnosis of the foot fractures pr...
Fractures, Bone Foot Bones Algorithms Deep Learning Humans Neural Networks, Computer Machine Learning
View on PubMed DOI

Enhancing decision-making with linear diophantine multi-fuzzy set: application of novel information measures in medical and engineering fields.

Scientific reports Nov 18, 2024
This study offers a comprehensive analysis of novel information for linear diophantine multi-fuzzy sets and illustrates its applications in practical scenarios. We introduce innovative similarity metrics tailored for linear diophantine multi-fuzzy se...
Pre-Eclampsia Algorithms Pregnancy Female Fuzzy Logic Decision Making Humans
View on PubMed DOI

Computational analysis of controlled drug release from porous polymeric carrier with the aid of Mass transfer and Artificial Intelligence modeling.

Scientific reports Nov 18, 2024
Controlled release of a desired drug from porous polymeric biomaterials was analyzed via computational method. The method is based on simulation of mass transfer and utilization of artificial intelligence (AI). This study explores the efficacy of thr...
Computer Simulation Drug Carriers Polymers Artificial Intelligence Porosity Drug Liberation Delayed-Action Preparations
View on PubMed DOI

Generating and evaluating synthetic data in digital pathology through diffusion models.

Scientific reports Nov 18, 2024
Synthetic data is becoming a valuable tool for computational pathologists, aiding in tasks like data augmentation and addressing data scarcity and privacy. However, its use necessitates careful planning and evaluation to prevent the creation of clini...
Humans Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Pathology, Clinical
View on PubMed DOI

Optimizing early diagnosis by integrating multiple classifiers for predicting brain stroke and critical diseases.

Scientific reports Nov 18, 2024
Machine learning has gained attention in the medical field. Continuous efforts are being made to develop robust models for early prognosis purposes. The brain is the most pivotal organ in the human body. A brain stroke is generally caused by a blocka...
Prognosis Parkinson Disease Stroke Humans Myocardial Infarction Machine Learning Alzheimer Disease Algorithms Early Diagnosis
View on PubMed DOI

Machine learning insights into scapular stabilization for alleviating shoulder pain in college students.

Scientific reports Nov 18, 2024
Non-specific shoulder pain is a common musculoskeletal condition, especially among college students, and it can have a negative impact on the patient's life. Therapists have used scapular stabilization exercises (SSE) to enhance scapular control and ...
Female Young Adult Adult Humans Machine Learning Exercise Therapy Shoulder Pain Scapula Male Students Universities
View on PubMed DOI
Popular Topics
Popular Journals