Domestic Violence

Artificial intelligence and magnetic resonance imaging may not make cancer screening better.

Machine Learning-based Voice Assessment for the Detection of Positive and Recovered COVID-19 Patients.

Many virological tests have been implemented during the Coronavirus Disease 2019 (COVID-19) pandemic...

Development of a machine learning model using electrocardiogram signals to improve acute pulmonary embolism screening.

AIMS: Clinical scoring systems for pulmonary embolism (PE) screening have low specificity and contri...

Ligand-Based Virtual Screening Based on the Graph Edit Distance.

Chemical compounds can be represented as attributed graphs. An attributed graph is a mathematical mo...

Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program.

OBJECTIVE: To evaluate the performance of a deep learning-based computer-aided detection (DL-CAD) sy...

Network analysis of trauma in patients with early-stage psychosis.

Childhood trauma (ChT) is a risk factor for psychosis. Negative lifestyle factors such as rumination...

The Role of Machine Learning in Cardiovascular Pathology.

Machine learning has seen slow but steady uptake in diagnostic pathology over the past decade to ass...

Using an artificial intelligence tool can be as accurate as human assessors in level one screening for a systematic review.

BACKGROUND: Artificial intelligence (AI) offers a promising solution to expedite various phases of t...

Prioritisation Assessment and Robust Predictive System for Medical Equipment: A Comprehensive Strategic Maintenance Management.

The advancement of technology in medical equipment has significantly improved healthcare services. H...

Gender differences in under-reporting hiring discrimination in Korea: a machine learning approach.

OBJECTIVES: This study was conducted to examine gender differences in under-reporting hiring discrim...

Machine learning models for screening carotid atherosclerosis in asymptomatic adults.

Carotid atherosclerosis (CAS) is a risk factor for cardiovascular and cerebrovascular events, but du...

Development and Validation of a Natural Language Processing Tool to Identify Injuries in Infants Associated With Abuse.

OBJECTIVES: Medically minor but clinically important findings associated with physical child abuse, ...

A Machine Learning-Based Screening Test for Sarcopenic Dysphagia Using Image Recognition.

BACKGROUND: Sarcopenic dysphagia, a swallowing disorder caused by sarcopenia, is prevalent in older ...

An osteometric and 3D analysis of the atlanto-occipital joint: An initial screening method to exclude crania and atlases in commingled remains.

OBJECTIVES: The anatomical features of the atlanto-occipital joint can be potentially useful in re-a...

Artificial intelligence for mechanical ventilation: systematic review of design, reporting standards, and bias.

BACKGROUND: Artificial intelligence (AI) has the potential to personalise mechanical ventilation str...

Characteristics of publicly available skin cancer image datasets: a systematic review.

Publicly available skin image datasets are increasingly used to develop machine learning algorithms ...

Development and Validation of a Deep Learning Strategy for Automated View Classification of Pediatric Focused Assessment With Sonography for Trauma.

OBJECTIVE: Pediatric focused assessment with sonography for trauma (FAST) is a sequence of ultrasoun...

Risk of bias assessment in preclinical literature using natural language processing.

We sought to apply natural language processing to the task of automatic risk of bias assessment in p...

Deepfake Detection Using the Rate of Change between Frames Based on Computer Vision.

Recently, artificial intelligence has been successfully used in fields, such as computer vision, voi...

COVID-19 Screening in Chest X-Ray Images Using Lung Region Priors.

Early screening of COVID-19 is essential for pandemic control, and thus to relieve stress on the hea...

A Natural Language Processing-Based Approach for Identifying Hospitalizations for Worsening Heart Failure Within an Integrated Health Care Delivery System.

IMPORTANCE: The current understanding of epidemiological mechanisms and temporal trends in hospitali...