Domestic Violence

High-content screening (HCS) workflows for FAIR image data management with OMERO.

High-content screening (HCS) for bioimaging is a powerful approach to studying biological processes,...

Wearable sleep recording augmented by artificial intelligence for Alzheimer's disease screening.

The recent emergence of wearable devices will enable large scale remote brain monitoring. This study...

Discovery, Biological Evaluation and Binding Mode Investigation of Novel Butyrylcholinesterase Inhibitors Through Hybrid Virtual Screening.

Butyrylcholinesterase (BChE), plays a critical role in alleviating the symptoms of Alzheimer's disea...

Identifying Molecular Properties of Ataxin-2 Inhibitors for Spinocerebellar Ataxia Type 2 Utilizing High-Throughput Screening and Machine Learning.

Spinocerebellar ataxia type 2 (SCA2) is an autosomal dominant neurodegenerative disorder marked by c...

Concordance with SPIRIT-AI guidelines in reporting of randomized controlled trial protocols investigating artificial intelligence in oncology: a systematic review.

BACKGROUND: Artificial intelligence (AI) is a promising tool used in oncology that may be able to fa...

An automated hip fracture detection, classification system on pelvic radiographs and comparison with 35 clinicians.

Accurate diagnosis of orthopedic injuries, especially pelvic and hip fractures, is vital in trauma m...

Machine learning-based predictive modelling of mental health in Rwandan Youth.

Globally, mental disorders are a significant burden, particularly in low- and middle-income countrie...

Validation of artificial intelligence algorithm LuxIA for screening of diabetic retinopathy from a single 45° retinal colour fundus images: the CARDS study.

OBJECTIVE: This study validated the artificial intelligence (AI)-based algorithm LuxIA for screening...

State of the Art of Artificial Intelligence in Clinical Electrophysiology in 2025: A Scientific Statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), and the ESC Working Group on E-Cardiology.

AIMS: Artificial intelligence (AI) has the potential to transform cardiac electrophysiology (EP), pa...

Satellite Remote Sensing-Implemented Nontargeted Screening of Emerging Contaminant Fingerprints in a River-to-Ocean Continuum through Interpretable Machine Learning: The Pivotal Intermediary Role of Dissolved Organic Matter.

Emerging contaminants (ECs) can exert irreversible health impacts on humans, even at trace concentra...

Current Technological Advances in Dysphagia Screening: Systematic Scoping Review.

BACKGROUND: Dysphagia affects more than half of older adults with dementia and is associated with a ...

Development of an Assistance Robot for Fall Detection and Reporting in Healthcare.

Falls pose a substantial risk to elderly individuals, especially those over 65, often leading to sev...

Diagnostic Accuracy of On-Premise Automated Coronary CT Angiography Analysis Based on Coronary Artery Disease Reporting and Data System 2.0.

Background Chest pain is a leading cause of outpatient and emergency department visits; advancements...

An inherently interpretable AI model improves screening speed and accuracy for early diabetic retinopathy.

Diabetic retinopathy (DR) is a frequent complication of diabetes, affecting millions worldwide. Scre...

Deep Eutectic Solvent Extraction Assisted Ligand Affinity Assay for α-Glucosidase Inhibitors Screening From the Plasma of Rats Administrated Pueraria lobata Extracts.

In this work, for the first time, a deep eutectic solvent assisted ligand affinity assay was propose...

Artificial Intelligence in Screening Mammography: How Do Patients Feel?

Evaluation of minor labial salivary gland focus score in Sjögren's disease using deep learning: a tool for more efficient diagnosis and future tissue biomarker discovery.

BACKGROUND: Sjögren's Disease (SjD) is histopathologically characterized by focal sialadenitis in mi...

Implementing artificial intelligence in breast cancer screening: Women's preferences.

BACKGROUND: Artificial intelligence (AI) could improve accuracy and efficiency of breast cancer scre...

Harnessing artificial intelligence for advancements in Rice / wheat functional food Research and Development.

In recent years, the research and development (R&D) of rice and wheat functional foods has attracted...

Patient Perception of Artificial Intelligence Use in Interpretation of Screening Mammograms: A Survey Study.

Purpose To assess patient perceptions of artificial intelligence (AI) use in the interpretation of s...

Predicting Respiratory Disease Mortality Risk Using Open-Source AI on Chest Radiographs in an Asian Health Screening Population.

Purpose To assess the prognostic value of an open-source deep learning-based chest radiographs algor...