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1161
[Translated article] Use of artificial intelligence to predict complications in degenerative thoracolumbar spine surgery: A systematic review
Published 2025-09-01“…In 5 (41.6%) articles, the effectiveness of artificial intelligence predictive models was compared with conventional techniques. …”
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1162
A Deep Learning Method for Pneumoconiosis Staging on Chest X-Ray Under Label Noise
Published 2025-01-01“…The ambiguous properties of small opacities in pneumoconiosis chest radiographs can cause diagnostic drift, which in turn leads to the presence of noisy labels in the datasets collected from hospitals that can negatively impact the generalization of deep learning models. To tackle this issue, we propose COFINE, a novel coarse-to-fine noise-tolerant deep learning method for the staging of pneumoconiosis chest radiographs, which comprises two procedures: coarse screening and fine learning. …”
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1163
Multi-Target Mechanism of Compound Qingdai Capsule for Treatment of Psoriasis: Multi-Omics Analysis and Experimental Verification
Published 2025-06-01“…CQC ingredients-targets network was constructed using these ingredients and their targets. Screening of CQC anti-psoriasis core targets using machine learning algorithm. …”
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1164
Generative and predictive neural networks for the design of functional RNA molecules
Published 2025-05-01“…We pair these predictive models with generative adversarial RNA design networks (GARDN), allowing the generative modelling of a diverse range of functional RNA molecules with targeted experimental attributes. …”
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1165
Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques
Published 2025-03-01“…The utilization of the receiver operating characteristic curve in conjunction with the nomogram model served to authenticate the discriminatory strength and efficacy of the key genes. …”
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1166
Artificial Intelligence Powered Automated and Early Diagnosis of Acute Lymphoblastic Leukemia Cancer in Histopathological Images: A Robust SqueezeNet-Enhanced Machine Learning Fram...
Published 2025-01-01“…Combining DL and ML algorithms addresses the complexity of understanding histopathological images and the classification process. …”
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1167
APPLICATION OF NEURAL NETWORKS IN DIAGNOSTICS OF BREAST CANCER ACCORDING TO THE DATA OF MICROWAVE RADIO THERMOMETRY
Published 2022-08-01“…However, the analysis of microwave radiothermometry data is a very complex task, which prevents the widespread use of this method in screening. This problem can be solved by creating an effective expert system based on the use of mathematical and computer modeling methods, the capabilities of modern information technologies and, above all, machine learning algorithms. …”
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1168
Active Learning for Medical Article Classification with Bag of Words and Bag of Concepts Embeddings
Published 2025-07-01“…Systems supporting systematic literature reviews often use machine learning algorithms to create classification models to assess the relevance of articles to study topics. …”
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1169
Artificial intelligence in breast oncology
Published 2025-06-01“…Abstract Artificial intelligence (AI) is based on complex artificial neural networks, characterized by layered network architecture, parallel processing of large data sets and iterative algorithms for processing large data sets. AI-assisted screening studies have demonstrated non-inferior diagnostic performance, reduced human workload by up to 70%, and reduced recall rates by 25% compared to human double reading. …”
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1170
Artificial intelligence applications in pediatric ophthalmology: A comprehensive review
Published 2025-07-01“…Furthermore, it explores existing AI models and their applicability in diagnosing refractive errors and strabismus. …”
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1171
A beginner’s approach to deep learning applied to VS and MD techniques
Published 2025-04-01“…Abstract It has become impossible to imagine the fields of biochemistry and medicinal chemistry without computational chemistry and molecular modelling techniques. In many steps of the drug development process in silico methods have become indispensable. …”
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1172
DETERMINATION OF THE BASIC PARAMETERS OF SENSOR DEVICES FOR THE IMPLEMENTATION OF PSYCHONEUROLOGICAL RESEARCH WITH THE INTRODUCTION OF MULTITOUCH TECHNOLOGY
Published 2020-03-01“…The scientific novelty and practical significance of the obtained results is the development of specialized software and algorithmic software for dynamic testing on sensory devices with the ability to video record the movements of the upper extremities in the mode "Rapid". …”
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1173
Progress on the application of supercomputer brain simulation technology
Published 2025-02-01“…This review examines the theoretical principles and technical foundations of supercomputer brain simulation, including distributed parallel algorithms, graphics processing unit (GPU)⁃based acceleration, and multimodal data management. …”
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1174
Gaussian Process Regression and Machine Learning Methods for Carbon-Based Material Adsorption
Published 2022-01-01“…., warmth, solution pH) and adsorbent varieties, the created Ml algorithms outperformed classic isotherm models in conditions of generalisation. …”
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1175
EDUCATIONAL TRAINING SIMULATOR FOR MONITORING READING TECHNIQUE AND SPEED BASED ON SPEECH-TO-TEXT (STT) METHODS
Published 2024-10-01“…The results of testing children with dyslalia, meaning the rearrangement of sounds in words when reading, also showed that the Jaro algorithm has a shorter line comparison time for large text arrays (by 7%). …”
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1176
Integrated single-cell and transcriptome sequencing data reveal the value of IL1RAP in gastric cancer microenvironment and prognosis
Published 2025-05-01“…Three machine learning algorithms identified distinct sets of prognostic genes in gastric cancer patients. …”
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1177
Integrating health equity in artificial intelligence for public health in Canada: a rapid narrative review
Published 2025-03-01“…Several health equity considerations for applying AI in public health were identified, including gaps in AI epistemology, algorithmic bias, accessibility of AI technologies, ethical and privacy concerns, unrepresentative training datasets, lack of transparency and interpretability of AI models, and challenges in scaling technical skills.ConclusionWhile AI has the potential to advance public health in Canada, addressing equity is critical to preventing inequities. …”
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1178
Robust, fully-automated assessment of cerebral perivascular spaces and white matter lesions: a multicentre MRI longitudinal study of their evolution and association with risk of de...
Published 2025-01-01“…Methods: We developed a robust algorithm to automatically assess PVS count and size on clinical MRI, and investigated 1) their relationship with dementia risk and brain atrophy in participants without dementia, 2) their longitudinal evolution, and 3) their potential use as a screening tool in simulated clinical trials. …”
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1179
A Comprehensive Approach to Rustc Optimization Vulnerability Detection in Industrial Control Systems
Published 2025-07-01“…This paper proposes a test case generation method based on large language models (LLMs), which utilizes prompt templates and optimization algorithms to generate a code relevant to specific optimization passes, especially for real-time control logic and safety-critical modules unique to the industrial control field. …”
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1180
Leveraging advanced technologies for early detection and diagnosis of oral cancer: Warning alarm
Published 2024-06-01“…Specialized algorithms such as the Recombination-Based Improved Population Optimization Parallel Covariance Matrix Adaptation Evolution Strategy (RB-IPOP CMA-ES) allow for better accuracy of deep learning models, as this enhances the performance of developing models for early diagnosis of oral cancer. …”
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