AIMC Topic: Algorithms

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Prediction-powered inference for clinical trials: application to linear covariate adjustment.

BMC medical research methodology Aug 29, 2025
Prediction-powered inference (PPI) (Angelopoulos et al., Science 382(6671):669-674, 2023) and its subsequent development called PPI++ (Angelopoulos et al., 2023) provide a novel approach to standard statistical estimation, leveraging machine learning...
Humans Machine Learning Algorithms Prognosis Disease Progression Alzheimer Disease Models, Statistical Linear Models Randomized Controlled Trials as Topic Sample Size
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Multiple model visual feature embedding and selection method for an efficient pest classification supporting precision agriculture.

Scientific reports Aug 29, 2025
Agriculture 5.0 is a principal economic activity in the world with major workforce dependent crops cultivation. An automated system for crops field insect pest identification can help decrease labour, while also improving the speed and precision in c...
Neural Networks, Computer Algorithms Discriminant Analysis Insecta Crops, Agricultural Animals Deep Learning Agriculture
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Machine learning in predicting preoperative intra-aortic balloon pump use in patients undergoing coronary artery bypass grafting.

Journal of cardiothoracic surgery Aug 28, 2025
BACKGROUND: Intra-aortic balloon pump (IABP) implantation in the perioperative period of cardiac surgery is an auxiliary treatment for cardiogenic shock. However, there is a lack of effective prediction models for preoperative IABP implantation.
Machine Learning Intra-Aortic Balloon Pumping Algorithms Retrospective Studies Coronary Artery Bypass Humans Preoperative Care Shock, Cardiogenic Male Middle Aged ROC Curve Female Coronary Artery Disease Risk Factors Preoperative Period Aged
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Mapping interconnectivity of digital twin healthcare research themes through structural topic modeling.

Scientific reports Aug 28, 2025
Digital twin (DT) technology is revolutionizing healthcare systems by leveraging real-time data integration and advanced analytics to enhance patient care, optimize clinical operations, and facilitate simulation. This study aimed to identify key rese...
Machine Learning Algorithms Delivery of Health Care Humans Computer Security Cloud Computing
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A simple and effective approach for body part recognition on CT scans based on projection estimation.

Scientific reports Aug 28, 2025
It is well known that machine learning models require a high amount of annotated data to obtain optimal performance. Labelling Computed Tomography (CT) data can be a particularly challenging task due to its volumetric nature and often missing and/or ...
Tomography, X-Ray Computed Imaging, Three-Dimensional Image Processing, Computer-Assisted Machine Learning Algorithms Humans
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Dual-model approach for accurate chest disease detection using GViT and swin transformer V2.

Scientific reports Aug 28, 2025
The precise detection and localization of abnormalities in radiological images are very crucial for clinical diagnosis and treatment planning. To build reliable models, large and annotated datasets are required that contain disease labels and abnorma...
Thoracic Diseases Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Humans Artificial Intelligence COVID-19 Algorithms Tomography, X-Ray Computed SARS-CoV-2
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A fused weighted federated learning-based adaptive approach for early-stage drug prediction.

Scientific reports Aug 28, 2025
Early accurate drug prediction is crucial in clinical decision support, where privacy of the patient data is a paramount importance. In this study, we introduce a fused weighted adaptive federated learning (FWAFL) framework to achieve joint training ...
Machine Learning Algorithms Federated Learning Humans Neural Networks, Computer
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Explainable deep learning algorithm for distinguishing IVIG-Resistant Kawasaki disease in Shandong peninsula, China.

BMC pediatrics Aug 28, 2025
BACKGROUND: Intravenous immunoglobulin (IVIG) resistance of Kawasaki disease (KD) patients have a heightened risk of coronary artery lesions. We aimed to explore the predictive factors of IVIG resistance of KD from Shandong Peninsula in China, and es...
Drug Resistance Child, Preschool Humans Infant Retrospective Studies Algorithms Deep Learning Mucocutaneous Lymph Node Syndrome Female China Immunoglobulins, Intravenous Male
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A Machine Learning Algorithm With an Oversampling Technique in Limited Data Scenarios for the Prediction of Present and Future Restorative Treatment Need: Development and Validation Study.

JMIR medical informatics Aug 28, 2025
BACKGROUND: Untreated dental caries is the most common health condition worldwide. Therefore, new strategies need to be developed to reduce the manifestations of dental caries.
Machine Learning Algorithms Female Adolescent Humans Male Dental Caries Risk Assessment Finland Surveys and Questionnaires
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Exploring the risks of over-reliance on AI in diagnostic pathology. What lessons can be learned to support the training of young pathologists?

PloS one Aug 28, 2025
The integration of Artificial Intelligence (AI) algorithms into pathology practice presents both opportunities and challenges. Although it can improve accuracy and inter-rater reliability, it is not infallible and can produce erroneous diagnoses, hen...
Observer Variation Pathology, Clinical Humans Artificial Intelligence Algorithms Reproducibility of Results Diagnostic Errors Pathologists
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