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Latest AI and machine learning research in surveys for healthcare professionals.

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Showing 232-252 of 5,802 articles
Immunogenic cell death biomarkers for sepsis diagnosis and mechanism via integrated bioinformatics.

Immunogenic cell death (ICD) has been implicated in sepsis, a condition with high mortality, through...

Pharmacovigilance in the digital age: gaining insight from social media data.

Pharmacovigilance is essential for protecting patient health by monitoring and managing medication-r...

Improving brain tumor diagnosis: A self-calibrated 1D residual network with random forest integration.

Medical specialists need to perform precise MRI analysis for accurate diagnosis of brain tumors. Cur...

Automated landmark-based mid-sagittal plane: reliability for 3-dimensional mandibular asymmetry assessment on head CT scans.

OBJECTIVE: The determination of the mid-sagittal plane (MSP) on three-dimensional (3D) head imaging ...

Mitigating patient harm risks: A proposal of requirements for AI in healthcare.

With the rise Artificial Intelligence (AI), mitigation strategies may be needed to integrate AI-enab...

Multimodal malware classification using proposed ensemble deep neural network framework.

In the contemporary technological world, fortifying cybersecurity defense against dynamic threat lan...

Intelligent approach to detecting online fraudulent trading with solution for imbalanced data in fintech forensics.

Detecting online fraudulent trading in the realm of Fintech presents several challenges, primarily d...

Mitigating bias in prostate cancer diagnosis using synthetic data for improved AI driven Gleason grading.

Prostate cancer (PCa) is a leading cause of cancer-related mortality in men, with Gleason grading cr...

The Role of Artificial Intelligence in Chronic Liver Diseases and Liver Transplantation.

In hepatology, pattern recognition in laboratory data and clinical characteristics is the hallmark o...

Public views on research with publicly available data in Switzerland: Implications for digital research, science communication, and policy.

The increasing volume of publicly available data brought about by digitalization offers researchers ...

Diagnostic Accuracy of Machine Learning-Assisted MRI for Mild Cognitive Impairment in Parkinson's Disease: A Systematic Review and Meta-Analysis.

To evaluate the diagnostic accuracy of machine learning-assisted magnetic resonance imaging (MRI) in...

Radiomics and AI-Based Prediction of MGMT Methylation Status in Glioblastoma Using Multiparametric MRI: A Hybrid Feature Weighting Approach.

: Glioblastoma (GBM) is a highly aggressive primary central nervous system tumor with a median survi...

A Comprehensive Dataset for Activity of Daily Living (ADL) Research Compiled by Unifying and Processing Multiple Data Sources.

: Activities of Daily Living (ADLs) are essential tasks performed at home and used in healthcare to ...

Solubility prediction of edible insect proteins: A comparative study of machine learning and response surface methodology.

This study evaluated whether machine learning models could offer improved predictive performance ove...

Understanding Dermatologists' Acceptance of Digital Health Interventions: Cross-Sectional Survey and Cluster Analysis.

BACKGROUND: Digital health interventions (DHIs) have the potential to enhance dermatological care by...

Comparative Evaluation of Automatic Detection and Classification of Daily Living Activities Using Batch Learning and Stream Learning Algorithms.

Activities of Daily Living (ADLs) are crucial for assessing an individual's autonomy, encompassing ...

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