Domestic Violence

[Automated diabetic retinopathy screening in out-patient diabetes care - comparison of two artificial intelligence algorithms RetCAD and OphtAI].

Ovarian Cancer Screening: Recommendations and Future Prospects.

Ovarian cancer remains a significant cause of mortality among women, largely due to challenges in ea...

Graph convolutional neural networks improved target-specific scoring functions for cGAS and kRAS in virtual screening.

In the drug discovery process, traditional structure-based virtual screening methods, such as molecu...

The knowledge distillation-assisted multimodal model for osteoporosis screening.

BACKGROUND AND OBJECTIVE: Osteoporosis is characterized by reduced bone mass and deterioration of bo...

A labeled dataset for osteoporosis screening based on electromagnetic attenuation.

A Scoping Review of AI-Driven Digital Interventions in Mental Health Care: Mapping Applications Across Screening, Support, Monitoring, Prevention, and Clinical Education.

BACKGROUND/OBJECTIVES: Artificial intelligence (AI)-enabled digital interventions are increasingly u...

Digital health technologies in swallowing care from screening to rehabilitation: A narrative review.

OBJECTIVES: Digital health technologies (DHTs) have rapidly advanced in the past two decades, throug...

Machine learning-driven generation and screening of potential ionic liquids for cellulose dissolution.

Cellulose, a highly versatile material, faces challenges in processing due to its limited solubility...

Exchange of Quantitative Computed Tomography Assessed Body Composition Data Using Fast Healthcare Interoperability Resources as a Necessary Step Toward Interoperable Integration of Opportunistic Screening Into Clinical Practice: Methodological Development Study.

BACKGROUND: Fast Healthcare Interoperability Resources (FHIR) is a widely used standard for storing ...

Data-driven identification of urgent surgical procedures for use in trauma outcomes measurement.

BACKGROUND: No standardized list of urgent-trauma-surgery exists for analysis in injury studies. If ...

Evaluation of an AI facial recognition system for Turner Syndrome screening and facial complexity: a prospective cohort.

PURPOSE: Artificial intelligence-based facial recognition (AI-FR) is promising in diagnosis of disea...

Delirium in Critically Ill Geriatric Surgical Patients: A Systematic Review of Screening, Risk Factors, Diagnosis, and Management.

OBJECTIVE: This systematic review aims to evaluate optimal early screening strategies, significant r...

Neuroimaging Characterization of Acute Traumatic Brain Injury with Focus on Frontline Clinicians: Recommendations from the 2024 National Institute of Neurological Disorders and Stroke Traumatic Brain Injury Classification and Nomenclature Initiative Imaging Working Group.

Neuroimaging screening and surveillance is one of the first frontline diagnostic tools leveraged in ...

Retrieval-augmented generation for answering Breast Imaging Reporting and Data System (BI-RADS)-related questions with large language models.

Moving towards making (quantitative) structure-activity relationships ((Q)SARs) for toxicity-related endpoints findable, accessible, interoperable and reusable (FAIR).

(Quantitative) structure-activity relationships ((Q)SARs) are widely used in chemical safety assessm...

Gender-specific sarcopenia screening in hemodialysis: insights from lower limb strength and physiological indicators.

OBJECTIVE: Maintenance hemodialysis (MHD) patients often suffer from sarcopenia, affecting lower lim...

Non-invasive tests developed using artificial intelligence for screening in MASLD: interest and pitfalls.

Advanced droplet microfluidic platform for high-throughput screening of industrial fungi.

Industrial fungi are pivotal candidates for the production of a diverse array of bioproducts. To enh...

A plasma 9-microRNA signature for lung cancer early detection: a multicenter analysis.

Lung cancer remains the leading cause of cancer-related deaths worldwide. Low-dose computed tomograp...

Developing a transparent reporting tool for AI-based diagnostic prediction models of disease and syndrome in Chinese medicine: a Delphi protocol.

INTRODUCTION: The application of artificial intelligence in diagnostic prediction models for disease...

Interobserver agreement between artificial intelligence models in the thyroid imaging and reporting data system (TIRADS) assessment of thyroid nodules.

BACKGROUND: As ultrasound (US) is the most accurate tool for assessing the thyroid nodule (TN) risk ...