AIMC Topic: Middle Aged

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Post-stroke hand gesture recognition via one-shot transfer learning using prototypical networks.

Journal of neuroengineering and rehabilitation Jun 12, 2024
BACKGROUND: In-home rehabilitation systems are a promising, potential alternative to conventional therapy for stroke survivors. Unfortunately, physiological differences between participants and sensor displacement in wearable sensors pose a significa...
Humans Neural Networks, Computer Machine Learning Middle Aged Female Wearable Electronic Devices Electromyography Aged Gestures Stroke Adult Hand Stroke Rehabilitation Transfer, Psychology Male
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A deep learning-based automated diagnosis system for SPECT myocardial perfusion imaging.

Scientific reports Jun 12, 2024
Images obtained from single-photon emission computed tomography for myocardial perfusion imaging (MPI SPECT) contain noises and artifacts, making cardiovascular disease diagnosis difficult. We developed a deep learning-based diagnosis support system ...
Image Processing, Computer-Assisted Coronary Artery Disease Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Humans Male Neural Networks, Computer Middle Aged Female Deep Learning Aged ROC Curve
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Point-of-care AI-enhanced novice echocardiography for screening heart failure (PANES-HF).

Scientific reports Jun 12, 2024
The increasing prevalence of heart failure (HF) in ageing populations drives demand for echocardiography (echo). There is a worldwide shortage of trained sonographers and long waiting times for expert echo. We hypothesised that artificial intelligenc...
Echocardiography Middle Aged Mass Screening Heart Failure Humans Artificial Intelligence Prospective Studies Female Aged Male Stroke Volume Point-of-Care Systems
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Enhancing the diagnosis of functionally relevant coronary artery disease with machine learning.

Nature communications Jun 12, 2024
Functionally relevant coronary artery disease (fCAD) can result in premature death or nonfatal acute myocardial infarction. Its early detection is a fundamentally important task in medicine. Classical detection approaches suffer from limited diagnost...
Humans Machine Learning Female Aged Electrocardiography Area Under Curve Exercise Test Coronary Artery Disease Male Middle Aged ROC Curve Logistic Models
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Curve-Modelling and Machine Learning for a Better COPD Diagnosis.

International journal of chronic obstructive pulmonary disease Jun 12, 2024
BACKGROUND: Development of new tools in artificial intelligence has an outstanding performance in the recognition of multidimensional patterns, which is why they have proven to be useful in the diagnosis of Chronic Obstructive Pulmonary Disease (COPD...
Middle Aged Reproducibility of Results Humans Spirometry Lung Aged Neural Networks, Computer Vital Capacity Diagnosis, Computer-Assisted Pulmonary Disease, Chronic Obstructive Machine Learning Bronchodilator Agents Predictive Value of Tests Male Female Peak Expiratory Flow Rate
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Use of machine learning to identify protective factors for death from COVID-19 in the ICU: a retrospective study.

PeerJ Jun 12, 2024
BACKGROUND: Patients in serious condition due to COVID-19 often require special care in intensive care units (ICUs). This disease has affected over 758 million people and resulted in 6.8 million deaths worldwide. Additionally, the progression of the ...
Protective Factors Retrospective Studies Intensive Care Units Female SARS-CoV-2 Middle Aged Humans Brazil Machine Learning Risk Factors Length of Stay COVID-19 Aged Patient Discharge Prognosis Adult Male
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Machine Learning-Aided Decision-Making Model for the Discontinuation of Continuous Renal Replacement Therapy.

Blood purification Jun 12, 2024
INTRODUCTION: Continuous renal replacement therapy (CRRT) is a primary form of renal support for patients with acute kidney injury in an intensive care unit. Making an accurate decision of discontinuation is crucial for the prognosis of patients. Pre...
Clinical Decision-Making Female Aged Male Middle Aged Continuous Renal Replacement Therapy Renal Replacement Therapy Acute Kidney Injury Intensive Care Units Humans Machine Learning Algorithms
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Deep Learning Model for Automatic Identification and Classification of Distal Radius Fracture.

Journal of imaging informatics in medicine Jun 11, 2024
Distal radius fracture (DRF) is one of the most common types of wrist fractures. We aimed to construct a model for the automatic segmentation of wrist radiographs using a deep learning approach and further perform automatic identification and classif...
Radius Fractures Male Wrist Fractures Middle Aged Humans Deep Learning Female Radiography Aged Adult
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Res-TransNet: A Hybrid deep Learning Network for Predicting Pathological Subtypes of lung Adenocarcinoma in CT Images.

Journal of imaging informatics in medicine Jun 11, 2024
This study aims to develop a CT-based hybrid deep learning network to predict pathological subtypes of early-stage lung adenocarcinoma by integrating residual network (ResNet) with Vision Transformer (ViT). A total of 1411 pathologically confirmed gr...
Adenocarcinoma of Lung Middle Aged Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Humans Computer Simulation Retrospective Studies Tomography, X-Ray Computed Female Male
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Prediction of additional hospital days in patients undergoing cervical spine surgery with machine learning methods.

Computer assisted surgery (Abingdon, England) Jun 11, 2024
BACKGROUND: Machine learning (ML), a subset of artificial intelligence (AI), uses algorithms to analyze data and predict outcomes without extensive human intervention. In healthcare, ML is gaining attention for enhancing patient outcomes. This study ...
Humans Machine Learning Algorithms Middle Aged Length of Stay Nomograms Female Cervical Vertebrae Aged Spondylosis Adult Male
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