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Domestic Violence

Latest AI and machine learning research in domestic violence for healthcare professionals.

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Recognition of activities of daily living in healthy subjects using two ad-hoc classifiers.

BACKGROUND: Activities of daily living (ADL) are important for quality of life. They are indicators ...

Jun 2015 26048452
Experimental design strategy: weak reinforcement leads to increased hit rates and enhanced chemical diversity.

High Throughput Screening (HTS) is a common approach in life sciences to discover chemical matter th...

May 2015 25915687
Utilizing Telemedicine in the Trauma Intensive Care Unit: Does It Impact Teamwork?

BACKGROUND: The aim of this study was to examine the impact of a telemedical robot on trauma intensi...

Apr 2015 25885369
Applying under-sampling techniques and cost-sensitive learning methods on risk assessment of breast cancer.

Breast cancer is one of the most common cause of cancer mortality. Early detection through mammograp...

Feb 2015 25712814
Active-learning strategies in computer-assisted drug discovery.

High-throughput compound screening is time and resource consuming, and considerable effort is invest...

Dec 2014 25499665
Effect of reporting bias in the analysis of spontaneous reporting data.

It is well-known that a spontaneous reporting system suffers from significant under-reporting of adv...

Nov 2014 25376637
The effect of a supplementary ('Gist-based') information leaflet on colorectal cancer knowledge and screening intention: a randomized controlled trial.

Guided by Fuzzy Trace Theory, this study examined the impact of a 'Gist-based' leaflet on colorectal...

Sep 2014 25253443
AIonAI: a humanitarian law of artificial intelligence and robotics.

The enduring progression of artificial intelligence and cybernetics offers an ever-closer possibilit...

Jan 2014 24414678
Cost-Effectiveness and Cost-Utility of a Colon Capsule Endoscopy in a Population-Based Screening Program for Colorectal Cancer

Background: Colon capsule endoscopy (CCE) has been proposed as a non-invasive alternative to colonos...

Operationalizing Eight-Dimensional Patient-Safety Risk Scoring at Scale: A Multi-Model Large Language Model Reliability Study

Background: Hospital incident risk scoring has long relied on two- or three-dimensional frameworks (...

Impact of AI-Assisted Mammography Reading on Quality Indicators in the Czech Breast Cancer Screening Programme: A Retrospective Study

Objectives: The aim of mammographic screening is the early detection of invasive cancers. In the era...

Privacy-Preserving Screening for Record Linkage

In an era dominated by big data and machine learning, establishing valuable data collaboration has n...

Benchmarking Convolutional, Transformer, Hybrid, and Vision Language Models for Multi Disease Retinal Screening

Modern deep learning offers powerful tools for automated retinal screening, but it remains unclear h...

Design and Validation of an AI-Assisted Sequential Screening Framework for Psychological Distress in Glaucoma

Purpose: Psychological distress is highly prevalent in glaucoma and is associated with worse adheren...

Large-Scale Assessment of Animal-to-Human Drug Translation Using Natural Language Processing

Background: Large-scale estimates of animal-to-human drug translation and the study characteristics ...

Rheumatic Heart Disease Detection in Asymptomatic Schoolchildren using ECG and PCG

Rheumatic heart disease (RHD) remains a major public health concern across low- and middle-income co...

Evidential Reasoning Advances Interpretable Real-World Disease Screening

Disease screening is critical for early detection and timely intervention in clinical practice. Howe...

Cadence: A Benchmark Evaluation of the Narrative Velocity Framework for Next Clinical Event Prediction in MIMIC-IV

Objective: How structured clinical features and cluster-semantic embeddings interact under self-dist...

RadThinking: A Dataset for Longitudinal Clinical Reasoning in Radiology

Cancer screening is a reasoning task. A radiologist observes findings, compares them to prior scans,...

Screening for Rheumatic Heart Disease in Asymptomatic Children using Machine Learning from Electrocardiograms

Early detection of Rheumatic Heart Disease (RHD) is essential in reducing its associated mortality a...

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