Identifying and Reporting Dependent Adult abuse

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Bioterrorism Care of terminally ill / Palliative care Cultural Competence Domestic Violence Identifying and Reporting Child abuse Identifying and Reporting Dependent Adult abuse Infection control / Modes of transmission Medical Ethics / Professional Responsibility Patient safety / Risk Management Prevention of medical errors Sexual Assault Universal precautions

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State-Required-CME Subcategories: Bioterrorism Care of terminally ill / Palliative care Cultural Competence Domestic Violence Identifying and Reporting Child abuse Identifying and Reporting Dependent Adult abuse Infection control / Modes of transmission Medical Ethics / Professional Responsibility Patient safety / Risk Management Prevention of medical errors Sexual Assault Universal precautions

Showing 1093-1113 of 2,385 articles

Current Clinical Applications of Artificial Intelligence in Radiology and Their Best Supporting Evidence.

PURPOSE: Despite tremendous gains from deep learning and the promise of artificial intelligence (AI)...

Nov 2020 33153541

A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs.

Chest radiographs are primarily employed for the screening of pulmonary and cardio-/thoracic conditi...

Jul 2020 33018208

Reporting and Implementing Interventions Involving Machine Learning and Artificial Intelligence.

Increasingly, interventions aimed at improving care are likely to use such technologies as machine l...

Jun 2020 32479180

[Cranial Facial 3D Biometry: Statistical analysis of Class II disharmonies].

We could study Cone Beam documents of patients consulting in ORL with standard Angle Class I occlusi...

Jun 2020 33146125

Integrating distal and proximal information to predict gene expression via a densely connected convolutional neural network.

MOTIVATION: Interactions among cis-regulatory elements such as enhancers and promoters are main driv...

Jan 2020 31318408

Application of Augmented Intelligence for Pharmacovigilance Case Seriousness Determination.

INTRODUCTION: Identification of adverse events and determination of their seriousness ensures timely...

Jan 2020 31605285

Deep convolutional neural network applied to the liver imaging reporting and data system (LI-RADS) version 2014 category classification: a pilot study.

PURPOSE: To develop a deep convolutional neural network (CNN) model to categorize multiphase CT and ...

Jan 2020 31696269

FOBI: an ontology to represent food intake data and associate it with metabolomic data.

Nutrition research can be conducted by using two complementary approaches: (i) traditional self-repo...

Jan 2020 32556148

Comparison of prostate cancer detection rates between magnetic resonance imaging-targeted biopsy and transrectal ultrasound-guided biopsy according to Prostate Imaging Reporting and Data System in patients with PSA ≥4 ng/mL: a systematic review and meta-analysis.

BACKGROUND: Previous studies have investigated magnetic resonance imaging-targeted biopsy (MRI-TBx) ...

Dec 2019 32038971

Applying Natural Language Processing to Evaluate News Media Coverage of Bullying and Cyberbullying.

Bullying events have frequently been the focus of coverage by news media, including news stories abo...

Nov 2019 31414277

Transparent Reporting on Research Using Unstructured Electronic Health Record Data to Generate 'Real World' Evidence of Comparative Effectiveness and Safety.

Research that makes secondary use of administrative and clinical healthcare databases is increasingl...

Nov 2019 31452075

Enabling Data-Driven Clinical Quality Assurance: Predicting Adverse Event Reporting in Clinical Trials Using Machine Learning.

INTRODUCTION: Adverse event (AE) under-reporting has been a recurrent issue raised during health aut...

Sep 2019 31123940

A Deep Learning-Based Decision Support Tool for Precision Risk Assessment of Breast Cancer.

PURPOSE: The Breast Imaging Reporting and Data System (BI-RADS) lexicon was developed to standardize...

May 2019 31141423

Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer's Disease.

Alzheimer's disease (AD) is characterized by gradual neurodegeneration and loss of brain function, e...

Apr 2019 30284672

Breast mass detection and diagnosis using fused features with density.

BACKGROUND: The morbidity of breast cancer has been increased in these years and ranked the first of...

Jan 2019 30856154

[Astragalus polysaccharide combined with cisplatin inhibits growth of recurrent tumor and down-regulats the expression of CD44, CD62P and osteopontin in tumor tissues in mice bearing Lewis lung cancer].

Objective To investigate the effects of Astragalus polysaccharide (APS) combined with cisplatin (DDP...

Dec 2018 30626477

State Required CME

Identifying and Reporting Dependent Adult abuse

Browse Categories

Current Clinical Applications of Artificial Intelligence in Radiology and Their Best Supporting Evidence.

A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs.

Reporting and Implementing Interventions Involving Machine Learning and Artificial Intelligence.

[Cranial Facial 3D Biometry: Statistical analysis of Class II disharmonies].

Integrating distal and proximal information to predict gene expression via a densely connected convolutional neural network.

Application of Augmented Intelligence for Pharmacovigilance Case Seriousness Determination.

Deep convolutional neural network applied to the liver imaging reporting and data system (LI-RADS) version 2014 category classification: a pilot study.

FOBI: an ontology to represent food intake data and associate it with metabolomic data.

Comparison of prostate cancer detection rates between magnetic resonance imaging-targeted biopsy and transrectal ultrasound-guided biopsy according to Prostate Imaging Reporting and Data System in patients with PSA ≥4 ng/mL: a systematic review and meta-analysis.

Applying Natural Language Processing to Evaluate News Media Coverage of Bullying and Cyberbullying.

Transparent Reporting on Research Using Unstructured Electronic Health Record Data to Generate 'Real World' Evidence of Comparative Effectiveness and Safety.

Enabling Data-Driven Clinical Quality Assurance: Predicting Adverse Event Reporting in Clinical Trials Using Machine Learning.

A Deep Learning-Based Decision Support Tool for Precision Risk Assessment of Breast Cancer.

Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer's Disease.

Breast mass detection and diagnosis using fused features with density.

[Astragalus polysaccharide combined with cisplatin inhibits growth of recurrent tumor and down-regulats the expression of CD44, CD62P and osteopontin in tumor tissues in mice bearing Lewis lung cancer].

Barriers to staff reporting adverse incidents in NHS hospitals.

Standardization of Assistive Products with Robotic Technology - From a Perspective of ISO/TC173.

Leveraging Event Reporting Through Knowledge Support: A Knowledge-Based Approach to Promoting Patient Fall Prevention.

Development of a Deep Learning Algorithm for Automatic Diagnosis of Diabetic Retinopathy.

The prevalence of statistical reporting errors in psychology (1985-2013).

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