Domestic Violence

Artificial Intelligence (AI) for the early detection of breast cancer: a scoping review to assess AI's potential in breast screening practice.

INTRODUCTION: Various factors are driving interest in the application of artificial intelligence (AI...

Artificial intelligence for diabetic retinopathy screening in Africa.

Streptococcus Gallolyticus endocarditis in patient with liver cirrhosis: a case report.

Streptococcus gallolyticus (S. gallolyticus) bacteremia is commonly associated with endocarditis and...

Giving Voice to Vulnerable Children: Machine Learning Analysis of Speech Detects Anxiety and Depression in Early Childhood.

Childhood anxiety and depression often go undiagnosed. If left untreated these conditions, collectiv...

Reporting and connecting cell type names and gating definitions through ontologies.

BACKGROUND: Human immunology studies often rely on the isolation and quantification of cell populati...

Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization.

Automated diagnosis of tuberculosis (TB) from chest X-Rays (CXR) has been tackled with either hand-c...

Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study.

PURPOSE: To study the feasibility of automatically identifying normal digital mammography (DM) exams...

Dynamic multi-outcome prediction after injury: Applying adaptive machine learning for precision medicine in trauma.

OBJECTIVE: Machine learning techniques have demonstrated superior discrimination compared to convent...

Assisting radiologists with reporting urgent findings to referring physicians: A machine learning approach to identify cases for prompt communication.

Radiologists are expected to expediently communicate critical and unexpected findings to referring c...

AI pioneer: 'The dangers of abuse are very real'.

A Deep Learning Approach to the Screening of Oncogenic Gene Fusions in Humans.

Gene fusions have a very important role in the study of cancer development. In this regard, predicti...

CytoProcessorTM: A New Cervical Cancer Screening System for Remote Diagnosis.

BACKGROUND: Current automated cervical cytology screening systems still heavily depend on manipulati...

Evaluating reproducibility of AI algorithms in digital pathology with DAPPER.

Artificial Intelligence is exponentially increasing its impact on healthcare. As deep learning is ma...

IVS2vec: A tool of Inverse Virtual Screening based on word2vec and deep learning techniques.

Inverse Virtual Screening is a powerful technique in the early stage of drug discovery process. This...

Evolution Strategies in Transaxillary Robotic Thyroidectomy: Considerations on the First 449 Cases Performed.

BACKGROUND: In the past 20 years, the fast spread of new surgical technologies has reached an import...

Machine Learning for Prediction of Posttraumatic Stress and Resilience Following Trauma: An Overview of Basic Concepts and Recent Advances.

Posttraumatic stress responses are characterized by a heterogeneity in clinical appearance and etiol...

Improved Method of Structure-Based Virtual Screening via Interaction-Energy-Based Learning.

Virtual screening is a promising method for obtaining novel hit compounds in drug discovery. It aims...

NMD-12: A new machine-learning derived screening instrument to detect mild cognitive impairment and dementia.

INTRODUCTION: Using machine learning techniques, we developed a brief questionnaire to aid neurologi...

Automated classification of primary care patient safety incident report content and severity using supervised machine learning (ML) approaches.

Learning from patient safety incident reports is a vital part of improving healthcare. However, the ...

The trauma severity model: An ensemble machine learning approach to risk prediction.

Statistical theory indicates that a flexible model can attain a lower generalization error than an i...

In Need of Bias Control: Evaluating Chemical Data for Machine Learning in Structure-Based Virtual Screening.

Reports of successful applications of machine learning (ML) methods in structure-based virtual scree...