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Domestic Violence

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

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Calibrating CONSORT-AI with FAIR Principles to enhance reproducibility in AI-driven clinical trials

Artificial intelligence (AI) is increasingly embedded in clinical trials, yet poor reproducibility r...

Patterns of Suicidal Stress Disclosure on Social Media: Integrating Computational and Qualitative Approaches

The lack of understanding of how individuals communicate suicidal stress hinders global suicide inte...

The impacts of artificial intelligence on the workload of diagnostic radiology services: A rapid review and stakeholder contextualisation

Advancements in imaging technology, alongside increasing longevity and co-morbidities, have led to h...

Validation of Synthesa AI, a Large Language Model-Based Screening Tool for Systematic Reviews: Results from Nine Studies

Systematic review screening is often burdensome, prone to human error, and requires significant manu...

Weakly Supervised Active Learning for Abstract Screening Leveraging LLM-Based Pseudo-Labeling

Abstract screening is a notoriously labour-intensive step in systematic reviews. AI-aided abstract s...

Association between zidovudine and adverse pregnancy outcomes/congenital malformations: A pharmacovigilance study using FAERS data

Zidovudine (AZT), a key antiretroviral drug used for HIV treatment and preventing mother-to-child tr...

Responsible AI in Action: Planning through Implementation of a Mortality Model for Palliative Care

Interest in the use of prediction models to support referrals to palliative care is surging. Few hig...

Signal Mining and Analysis of Adverse Events of Isotretinoin: 20-year real-world pharmacovigilance analysis based on the FAERS database

To identify post-marketing adverse event (AE) signals associated with isotretinoin using real-world ...

Closing the Lung Cancer Screening Gap in FQHCs with AI-Powered Clinical Decision Support

Lung cancer remains the leading cause of cancer-related mortality in the United States, with screeni...

AutoReporter: Development of an artificial intelligence tool for automated assessment of research reporting guideline adherence

To develop AutoReporter, a large-language-model system that automates evaluation of adherence to res...

Aligning computational pathology with clinical practice for colorectal cancer

Pathology reporting of colorectal cancer (CRC) follows the International Collaboration on Cancer Rep...

Risk prediction for lung cancer screening: a systematic review and meta-regression

Lung cancer (LC) is the leading cause of cancer mortality, often diagnosed at advanced stages. Scree...

Deep learning-based prediction of cardiopulmonary disease in retinal images of premature infants

Bronchopulmonary dysplasia (BPD) and pulmonary hypertension (PH) are leading causes of morbidity and...

A systematic review of early neuroimaging and neurophysiological biomarkers for post-stroke mobility prognostication

Accurate prognostication of mobility outcomes is essential to guide rehabilitation and manage patien...

Artificial Intelligence in Early Detection of Autism Spectrum Disorder for Preschool ages: A Systematic Literature Review

Early detection of autism spectrum disorder (ASD) improves outcomes, yet clinical assessment is time...

Prompt Engineering Enables Open-Source LLMs to Match Proprietary Models in Diagnostic Accuracy for Annotation of Radiology Reports

The aim of this study was to test whether open-source Large Language Models (LLMs) can match the dia...

Scalable screening for emergency department missed opportunities for diagnosis using sequential eTriggers and large language models

Missed opportunities for diagnosis (MODs), sometimes termed diagnostic errors, are a major cause of ...

Childhood Maltreatment and Risk for Illicit Substance Use: Evidence for Mid-Adolescence as a Sensitive Exposure Period

Childhood maltreatment is a well-established risk factor for substance misuse. However, it remains u...

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