AIMC Topic: Humans

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Machine learning model and hemoglobin to red cell distribution width ratio evaluates all-cause mortality in pulmonary embolism.

Scientific reports Jul 2, 2025
The ratio of hemoglobin (Hb) to red blood cell distribution width (RDW), known as HRR, functions as an innovative indicator related to prognosis. However, whether HRR can predict the mortality for pulmonary embolism (PE) patients remains ambiguous. A...
Male Retrospective Studies Hemoglobins Middle Aged Female Pulmonary Embolism Humans Aged Erythrocyte Indices Machine Learning Proportional Hazards Models Prognosis
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Automatic detection of orthodontically induced external root resorption based on deep convolutional neural networks using CBCT images.

Scientific reports Jul 2, 2025
Orthodontically-induced external root resorption (OIERR) is among the most common risks in orthodontic treatment. Traditional OIERR diagnosis is limited by subjective judgement as well as cumbersome manual measurement. The research aims to develop an...
Humans Orthodontics Convolutional Neural Networks Neural Networks, Computer Root Resorption Cone-Beam Computed Tomography Deep Learning Image Processing, Computer-Assisted
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Irrational herding persists in human-bot interactions.

Scientific reports Jul 2, 2025
We explore human herding in a strategic setting where humans interact with automated entities (bots) and study the shift in the behaviour and beliefs of humans when they are aware of interacting with bots. The strategic setting is an online minority ...
Humans Artificial Intelligence Decision Making
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The construction of HMME-PDT efficacy prediction model for port-wine stain based on machine learning algorithms.

Scientific reports Jul 2, 2025
Hematoporphyrin monomethyl ether-photodynamic therapy (HMME-PDT) is a safe and effective treatment for port-wine stain (PWS). Comprehensive methods for predicting HMME-PDT efficacy based on clinical factors are lacking. This study aims to develop and...
Child Treatment Outcome Photochemotherapy Photosensitizing Agents Port-Wine Stain Hematoporphyrins Male Machine Learning Humans Adolescent Algorithms Female Child, Preschool Retrospective Studies Young Adult Adult
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Advanced machine learning applications in fibromyalgia to assess the relationship between 3D spinal alignment with clinical outcomes.

Scientific reports Jul 2, 2025
This study leveraged machine learning (ML) models to explore the relationship between three-dimensional (3D) spinal alignment parameters and clinical outcomes in patients suffering from fibromyalgia syndrome (FMS). A cohort of 303 FMS patients, diagn...
Surveys and Questionnaires Imaging, Three-Dimensional Spine Fibromyalgia Adult Humans Male Machine Learning Middle Aged Female
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Modeling visual working memory using recurrent on-center off-surround neural network with distance dependent inhibition.

Scientific reports Jul 2, 2025
This paper presents a computational model of visual working memory (VWM) that simulates the processing of spatially distributed objects and their features. The model emphasizes the prioritization of object-related information before feature-related p...
Visual Perception Computer Simulation Humans Neural Networks, Computer Models, Neurological Memory, Short-Term
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Using graph machine learning to identify functioning in patients with low back pain in terms of ICF.

Scientific reports Jul 2, 2025
As a comprehensive perspective on functioning is useful in patient assessments, the WHO developed the International Classification of Functioning, Disability, and Health (ICF) to provide a standardized terminology and framework for describing and cla...
Low Back Pain Finland International Classification of Functioning, Disability and Health Middle Aged Adolescent Disability Evaluation Electronic Health Records Female Aged Young Adult Adult Male Humans Machine Learning
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End-to-end feature fusion for jointly optimized speech enhancement and automatic speech recognition.

Scientific reports Jul 2, 2025
Speech enhancement (SE) and automatic speech recognition (ASR) in real-time processing involve improving the quality and intelligibility of speech signals on the fly, ensuring accurate transcription as the speech unfolds. SE eliminates unwanted backg...
Noise Signal Processing, Computer-Assisted Speech Recognition Software Humans Algorithms Speech Speech Intelligibility
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Recognition of anxiety and depression using gait data recorded by the kinect sensor: a machine learning approach with data augmentation.

Scientific reports Jul 2, 2025
Anxiety and depression disorders are increasingly common, necessitating methods for real-time assessment and early identification. This study investigates gait analysis as a potential indicator of mental health, using the Microsoft Kinect sensor to c...
Bayes Theorem Gait Gait Analysis Biomechanical Phenomena Male Anxiety Female Anxiety Disorders Humans Young Adult Depression Machine Learning Adult Support Vector Machine
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A deep dive into artificial intelligence with enhanced optimization-based security breach detection in internet of health things enabled smart city environment.

Scientific reports Jul 2, 2025
Internet of Health Things (IoHT) plays a vital role in everyday routine by giving electronic healthcare services and the ability to improve patient care quality. IoHT applications and devices become widely susceptible to cyber-attacks as the tools ar...
Humans Artificial Intelligence Algorithms Computer Security Deep Learning Cities Internet of Things
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