AIMC Topic: Machine Learning

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Machine learning models based on routine blood and biochemical test data for diagnosis of neurological diseases.

Scientific reports Jul 30, 2025
Globally, nervous system diseases are the leading cause of disability-adjusted life-years and the second leading cause of mortality in the world. Traditional diagnostic methods for nervous system diseases are expensive. So this study aimed to constru...
Machine Learning Algorithms Female Adult Male ROC Curve Humans Middle Aged Neural Networks, Computer Support Vector Machine Nervous System Diseases
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CYCLONE: recycle contrastive learning for integrating single-cell gene expression data.

BMC bioinformatics Jul 30, 2025
BACKGROUND: Combining single-cell transcriptome sequencing results from several batches reduces batch effect, which improves our understanding of cellular identity and function.
Algorithms Gene Expression Profiling Transcriptome Humans Single-Cell Analysis Machine Learning
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Contrastive learning-driven framework for neuron morphology classification.

Scientific reports Jul 30, 2025
The Neuron morphology classification is a critical task in neuroscience research, as the morphological features of neurons are closely linked to the functional characteristics of neural circuits. However, traditional classification methods often stru...
Neurons Machine Learning Algorithms Humans Models, Neurological Neural Networks, Computer
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A privacy preserving machine learning framework for medical image analysis using quantized fully connected neural networks with TFHE based inference.

Scientific reports Jul 30, 2025
Medical image analysis using deep learning algorithms has become a basis of modern healthcare, enabling early detection, diagnosis, treatment planning, and disease monitoring. However, sharing sensitive raw medical data with third parties for analysi...
Deep Learning Image Processing, Computer-Assisted Confidentiality Privacy Computer Security Neural Networks, Computer Machine Learning Algorithms Humans
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AMuCS: Affective multimodal Counter-Strike video game dataset.

Scientific data Jul 30, 2025
Video games are a versatile and multi-faceted stimulus which can elicit complex player experiences. As a consequence, several datasets have been curated or created for studying human cognition, behaviours, and physiological responses where video game...
Humans Machine Learning Facial Expression Video Games
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Development of a machine learning-based prediction model for serious bacterial infections in febrile young infants.

BMJ paediatrics open Jul 30, 2025
BACKGROUND: To develop and validate machine learning (ML)-based models to predict serious bacterial infections (SBIs) in febrile infants aged ≤90 days.
C-Reactive Protein Fever Bacterial Infections Predictive Value of Tests Female Humans Infant, Newborn Machine Learning Male Retrospective Studies Infant Logistic Models Procalcitonin
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Machine Learning-Based Cognitive Assessment With The Autonomous Cognitive Examination: Randomized Controlled Trial.

Journal of medical Internet research Jul 30, 2025
BACKGROUND: The rising prevalence of dementia necessitates a scalable solution to cognitive assessments. The Autonomous Cognitive Examination (ACoE) is a foundational cognitive test for the phenotyping of cognitive symptoms across the primary cogniti...
Neuropsychological Tests Middle Aged Cognition Cross-Over Studies Machine Learning Female Reproducibility of Results Aged Aged, 80 and over Male Humans
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The grand challenges of learning medical robot autonomy.

Science robotics Jul 30, 2025
Most medical robots depend on human operators for sensing, decision-making, and action during procedures. Future progress depends on enabling robots to take on these capabilities. Although learning-based approaches provide remarkable promise toward a...
Humans Artificial Intelligence Robotics Equipment Design Robotic Surgical Procedures Machine Learning Learning Decision Making
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AI in therapeutic and assistive exoskeletons and exosuits: Influences on performance and autonomy.

Science robotics Jul 30, 2025
Therapeutic and assistive exoskeletons and exosuits show promise in both clinical and real-world settings. Improving their autonomy can enhance usability, effectiveness, and cost efficiency. This Review presents a generic control framework for autono...
Equipment Design Machine Learning Exoskeleton Device Humans Lower Extremity Upper Extremity Artificial Intelligence Robotics Self-Help Devices
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AI search, physician removal: Bronchoscopy robot bridges collaboration in foreign body aspiration.

Science robotics Jul 30, 2025
Bronchial foreign body aspiration is a life-threatening condition with a high incidence across diverse populations, requiring urgent diagnosis and treatment. However, the limited availability of skilled practitioners and advanced medical equipment in...
Tomography, X-Ray Computed Animals Bronchoscopy Machine Learning Humans Algorithms Artificial Intelligence Physicians Bronchoscopes Equipment Design Foreign Bodies Robotic Surgical Procedures Respiratory Aspiration Bronchi
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