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Primary-Care Subcategories: Alternative Medicine Dental Health Diet & Nutrition Exercise & Fitness Geriatrics Obesity Preventive Care Smoking & Tobacco

Showing 127-147 of 3,112 articles

Automatic detection of sleep apnea from a single-lead ECG signal based on spiking neural network model.

BACKGROUND: Sleep apnea (SLA) is a commonly encountered sleep disorder characterized by repetitive c...

Jul 2024 PMID: 39029435

At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods.

By September 2022, more than 600 million cases of SARS-CoV-2 infection have been reported globally, ...

Jul 2024 PMID: 39013928

Random survival forest for predicting the combined effects of multiple physiological risk factors on all-cause mortality.

Understanding the combined effects of risk factors on all-cause mortality is crucial for implementin...

Jul 2024 PMID: 38971926

Using multi-label ensemble CNN classifiers to mitigate labelling inconsistencies in patch-level Gleason grading.

This paper presents a novel approach to enhance the accuracy of patch-level Gleason grading in prost...

Jul 2024 PMID: 38968206

GLGFormer: Global Local Guidance Network for Mucosal Lesion Segmentation in Gastrointestinal Endoscopy Images.

Automatic mucosal lesion segmentation is a critical component in computer-aided clinical support sys...

Jun 2024 PMID: 38940891

Enhanced Hybrid Vision Transformer with Multi-Scale Feature Integration and Patch Dropping for Facial Expression Recognition.

Convolutional neural networks (CNNs) have made significant progress in the field of facial expressio...

Jun 2024 PMID: 39000930

Detecting Mandible Fractures in CBCT Scans Using a 3-Stage Neural Network.

After nasal bone fractures, fractures of the mandible are the most frequently encountered injuries o...

Jun 2024 PMID: 38910411

Removing Adversarial Noise in X-ray Images via Total Variation Minimization and Patch-Based Regularization for Robust Deep Learning-based Diagnosis.

Deep learning has significantly advanced the field of radiology-based disease diagnosis, offering en...

Jun 2024 PMID: 38886292

Prediction of Epidermal Growth Factor Receptor Mutation Subtypes in Non-Small Cell Lung Cancer From Hematoxylin and Eosin-Stained Slides Using Deep Learning.

Accurate assessment of epidermal growth factor receptor (EGFR) mutation status and subtype is critic...

Jun 2024 PMID: 38871058

MultiTrans: Multi-branch transformer network for medical image segmentation.

BACKGROUND AND OBJECTIVE: Transformer, which is notable for its ability of global context modeling, ...

Jun 2024 PMID: 38878361

Distillation of multi-class cervical lesion cell detection via synthesis-aided pre-training and patch-level feature alignment.

Automated detection of cervical abnormal cells from Thin-prep cytologic test (TCT) images is crucial...

May 2024 PMID: 38815471

Artificial intelligence enables precision diagnosis of cervical cytology grades and cervical cancer.

Cervical cancer is a significant global health issue, its prevalence and prognosis highlighting the ...

May 2024 PMID: 38778014

Generation and classification of patch-based land use and land cover dataset in diverse Indian landscapes: a comparative study of machine learning and deep learning models.

In the context of environmental and social applications, the analysis of land use and land cover (LU...

May 2024 PMID: 38775887

Machine learning-based model to predict delirium in patients with advanced cancer treated with palliative care: a multicenter, patient-based registry cohort.

This study aimed to present a new approach to predict to delirium admitted to the acute palliative c...

May 2024 PMID: 38769382

Identification of patients' smoking status using an explainable AI approach: a Danish electronic health records case study.

BACKGROUND: Smoking is a critical risk factor responsible for over eight million annual deaths world...

May 2024 PMID: 38760718

Primary Care

Browse Specialties

Automatic detection of sleep apnea from a single-lead ECG signal based on spiking neural network model.

At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods.

Random survival forest for predicting the combined effects of multiple physiological risk factors on all-cause mortality.

Using multi-label ensemble CNN classifiers to mitigate labelling inconsistencies in patch-level Gleason grading.

GLGFormer: Global Local Guidance Network for Mucosal Lesion Segmentation in Gastrointestinal Endoscopy Images.

Enhanced Hybrid Vision Transformer with Multi-Scale Feature Integration and Patch Dropping for Facial Expression Recognition.

Detecting Mandible Fractures in CBCT Scans Using a 3-Stage Neural Network.

Removing Adversarial Noise in X-ray Images via Total Variation Minimization and Patch-Based Regularization for Robust Deep Learning-based Diagnosis.

Prediction of Epidermal Growth Factor Receptor Mutation Subtypes in Non-Small Cell Lung Cancer From Hematoxylin and Eosin-Stained Slides Using Deep Learning.

MultiTrans: Multi-branch transformer network for medical image segmentation.

Distillation of multi-class cervical lesion cell detection via synthesis-aided pre-training and patch-level feature alignment.

Artificial intelligence enables precision diagnosis of cervical cytology grades and cervical cancer.

Generation and classification of patch-based land use and land cover dataset in diverse Indian landscapes: a comparative study of machine learning and deep learning models.

Machine learning-based model to predict delirium in patients with advanced cancer treated with palliative care: a multicenter, patient-based registry cohort.

Identification of patients' smoking status using an explainable AI approach: a Danish electronic health records case study.

Lumbar and Thoracic Vertebrae Segmentation in CT Scans Using a 3D Multi-Object Localization and Segmentation CNN.

Forecasting vaping health risks through neural network model prediction of flavour pyrolysis reactions.

Development and comparison of machine learning models for in-vitro drug permeation prediction from microneedle patch.

Machine-learning and mechanistic modeling of metastatic breast cancer after neoadjuvant treatment.

Trained neural networking framework based skin cancer diagnosis and categorization using grey wolf optimization.

Cross-patch feature interactive net with edge refinement for retinal vessel segmentation.

Browse Specialties