AIMC Topic: Neural Networks, Computer

Clear Filters Showing 101 to 110 of 29769 articles

CareAssist GPT improves patient user experience with a patient centered approach to computer aided diagnosis.

Scientific reports Jul 2, 2025
The rapid integration of artificial intelligence (AI) into healthcare has enhanced diagnostic accuracy; however, patient engagement and satisfaction remain significant challenges that hinder the widespread acceptance and effectiveness of AI-driven cl...
Patient Satisfaction Deep Learning Patient-Centered Care Neural Networks, Computer Artificial Intelligence Male Diagnosis, Computer-Assisted Female Humans
View on PubMed DOI

Lightweight convolutional neural networks using nonlinear Lévy chaotic moth flame optimisation for brain tumour classification via efficient hyperparameter tuning.

Scientific reports Jul 2, 2025
Deep convolutional neural networks (CNNs) have seen significant growth in medical image classification applications due to their ability to automate feature extraction, leverage hierarchical learning, and deliver high classification accuracy. However...
Nonlinear Dynamics Neural Networks, Computer Algorithms Convolutional Neural Networks Image Processing, Computer-Assisted Brain Neoplasms Humans
View on PubMed DOI

AI and IoT-powered edge device optimized for crop pest and disease detection.

Scientific reports Jul 2, 2025
Climate change exacerbates the challenges of maintaining crop health by influencing invasive pest and disease infestations, especially for cereal crops, leading to enormous yield losses. Consequently, innovative solutions are needed to monitor crop h...
Artificial Intelligence Agriculture Neural Networks, Computer Plant Diseases Internet of Things Crops, Agricultural
View on PubMed DOI

Developing an innovative lung cancer detection model for accurate diagnosis in AI healthcare systems.

Scientific reports Jul 2, 2025
Accurate Lung cancer (LC) identification is a big medical problem in the AI-based healthcare systems. Various deep learning-based methods have been proposed for Lung cancer diagnosis. In this study, we proposed a Deep learning techniques-based integr...
Humans Neural Networks, Computer Deep Learning Lung Neoplasms Tomography, X-Ray Computed Diagnosis, Computer-Assisted Algorithms Delivery of Health Care
View on PubMed DOI

Few-shot network intrusion detection method based on multi-domain fusion and cross-attention.

PloS one Jul 2, 2025
Deep learning methods have achieved remarkable progress in network intrusion detection. However, their performance often deteriorates significantly in real-world scenarios characterized by limited attack samples and substantial domain shifts. To addr...
Algorithms Neural Networks, Computer Deep Learning
View on PubMed DOI

Towards real-world monitoring scenarios: An improved point prediction method for crowd counting based on contrastive learning.

PloS one Jul 2, 2025
In open environments, complex and variable backgrounds and dense multi-scale targets are two key challenges for crowd counting. Due to the reliance on supervised learning with labeled data, current methods struggle to adapt to crowd detection in comp...
Machine Learning Algorithms Crowding Humans Neural Networks, Computer
View on PubMed DOI

Enhancing IDS for the IoMT based on advanced features selection and deep learning methods to increase the model trustworthiness.

PloS one Jul 2, 2025
Information technology has significantly impacted society. IoT and its specialized variant, IoMT, enable remote patient monitoring and improve healthcare. While it contributes to improving healthcare services, it may pose significant security challen...
Algorithms Deep Learning Humans Internet of Things Neural Networks, Computer
View on PubMed DOI

stGRL: spatial domain identification, denoising, and imputation algorithm for spatial transcriptome data based on multi-task graph contrastive representation learning.

BMC biology Jul 1, 2025
BACKGROUND: Spatial transcriptomics now enables sequencing while preserving the spatial location of cells. This significantly enhances researchers' understanding of cellular and tissue functions in their spatial context. However, due to current techn...
Transcriptome Algorithms Gene Expression Profiling Humans Neural Networks, Computer
View on PubMed DOI

Ultrasound-based machine learning model to predict the risk of endometrial cancer among postmenopausal women.

BMC medical imaging Jul 1, 2025
BACKGROUND: Current ultrasound-based screening for endometrial cancer (EC) primarily relies on endometrial thickness (ET) and morphological evaluation, which suffer from low specificity and high interobserver variability. This study aimed to develop ...
Endometrial Neoplasms Sensitivity and Specificity Endometrium Humans Female Machine Learning Neural Networks, Computer Image Interpretation, Computer-Assisted Middle Aged Aged Deep Learning Algorithms Postmenopause Ultrasonography
View on PubMed DOI

Artificial intelligence outperforms humans in morphology-based oocyte selection in cattle.

Scientific reports Jul 1, 2025
Evaluating cumulus-oocyte complex (COC) morphology is commonly used to assess oocyte quality. However, clear guidelines on interpreting COC morphology data are lacking as this evaluation method is subjective. In the present study, individual in vitro...
Female Animals Fertilization in Vitro Blastocyst Cattle Neural Networks, Computer Artificial Intelligence Humans Cumulus Cells Oocytes Embryonic Development
View on PubMed DOI
Popular Topics
Recent Journals