AIMC Topic: Algorithms

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Automating Colon Polyp Classification in Digital Pathology by Evaluation of a "Machine Learning as a Service" AI Model: Algorithm Development and Validation Study.

JMIR formative research Jul 31, 2025
BACKGROUND: Artificial intelligence (AI) models are increasingly being developed to improve the efficiency of pathological diagnoses. Rapid technological advancements are leading to more widespread availability of AI models that can be used by domain...
Humans Machine Learning Algorithms Artificial Intelligence Sensitivity and Specificity Colonic Polyps
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Explainable machine learning for predicting ICU mortality in myocardial infarction patients using pseudo-dynamic data.

Scientific reports Jul 31, 2025
Myocardial infarction (MI) remains one of the greatest contributors to mortality, and patients admitted to the intensive care unit (ICU) with myocardial infarction are at higher risk of death. In this study, we use two retrospective cohorts extracted...
Myocardial Infarction Male Middle Aged Humans Hospital Mortality Databases, Factual Female Machine Learning Aged Retrospective Studies Algorithms Intensive Care Units
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AI-Driven fetal distress monitoring SDN-IoMT networks.

PloS one Jul 31, 2025
The healthcare industry is transforming with the integration of the Internet of Medical Things (IoMT) with AI-powered networks for improved clinical connectivity and advanced monitoring capabilities. However, IoMT devices struggle with traditional ne...
Fetal Monitoring Fetal Distress Internet of Things Heart Rate, Fetal Humans Female Deep Learning Neural Networks, Computer Cardiotocography Artificial Intelligence Algorithms Pregnancy
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A bearing fault diagnosis method based on hybrid artificial intelligence models.

PloS one Jul 31, 2025
The working state of rolling bearing severely affects the performance of industrial equipment. Addressing the issue of that the difficulty of incipient weak signals feature extraction influences the rolling bearing diagnosis accuracy, an efficient be...
Neural Networks, Computer Artificial Intelligence Deep Learning Models, Theoretical Algorithms Humans
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PairReg: A method for enhancing the learning of molecular structure representation in equivariant graph neural networks.

PloS one Jul 31, 2025
The 3D structure of molecules contains a wealth of important information, but traditional 3DCNN-based methods fail to adequately address the transformations of rigid motions (rotation, translation, and mapping). Equivariant graph neural networks (EGN...
Models, Molecular Molecular Structure Graph Neural Networks Neural Networks, Computer Algorithms
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A long-term localization and mapping system for autonomous inspection robots in large-scale environments using 3D LiDAR sensors.

PloS one Jul 31, 2025
Inspection mobile robots equipped with 3D LiDAR sensors are now widely used in substations and other critical circumstances. However, the application of traditional LiDAR sensors is restricted in large-scale environments. Prolonged operation poses th...
Robotics Remote Sensing Technology Algorithms Imaging, Three-Dimensional
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Leveraging weak supervision for cell localization in digital pathology using multitask learning and consistency loss.

Computers in biology and medicine Jul 30, 2025
Cell detection and segmentation are integral parts of automated systems in digital pathology. Encoder-decoder networks have emerged as a promising solution for these tasks. However, training of these networks has typically required full boundary anno...
Humans Image Processing, Computer-Assisted Neural Networks, Computer Cell Count Algorithms
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Interpretable one-class classification framework for prescription error detection using BERT embeddings and dimensionality reduction.

Computers in biology and medicine Jul 30, 2025
Ensuring accurate prescriptions and proper medication administration is critical for patient safety and effective clinical outcomes. Identifying and preventing prescription errors can significantly reduce healthcare costs and adverse health effects. ...
Machine Learning Algorithms Medication Errors Humans Drug Prescriptions Dimensionality Reduction
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Optimization of spatio-temporal ozone (O) pollution modeling using an ensemble machine model learning with a swarm-based metaheuristic algorithm.

Ecotoxicology and environmental safety Jul 30, 2025
The future of ozone (O) pollution presents significant environmental and public health challenges worldwide. High O levels can harm respiratory health, exacerbating conditions such as asthma and increasing the risk of cardiovascular diseases. Address...
Algorithms Spatio-Temporal Analysis Environmental Monitoring Humans Machine Learning Ozone Air Pollutants Air Pollution Seasons Iran
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Establishment of predictive models for postoperative delirium in elderly patients after knee/hip surgery based on total bilirubin concentration: machine learning algorithms.

BMC anesthesiology Jul 30, 2025
BACKGROUND: With the aging demographic on the rise, we're seeing a spike in the occurrence of postoperative delirium (POD). Our research aims to delve into the connection between plasma bilirubin levels and postoperative delirium, with the goal of cr...
Bilirubin Aged Arthroplasty, Replacement, Hip Algorithms Aged, 80 and over Humans Delirium Postoperative Complications Female Arthroplasty, Replacement, Knee Male Machine Learning Predictive Value of Tests
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