Domestic Violence

AI echo INSIGHT study: A prospective blinded randomized trial of artificial intelligence echocardiogram interpretation.

BACKGROUND: Transthoracic echocardiography (TTE) is the most commonly performed cardiac imaging modality with over 30 million studies annually. Demand for timely expert interpretation continues to outpace capacity, creating diagnostic delays and inter-observer variability that impact patient care. Recent research has suggested computer vision artificial intelligence (AI) models can generate accura...

Bioactive peptides for meat quality and preservation: Integrating peptidomics and computational screening.

Bioactive peptides generated from meat proteins, fermented meat products, and slaughter by-products have attracted increasing attention as functional molecules for improving meat quality and preservation. In meat systems, peptides can be produced through endogenous postmortem proteolysis, microbial fermentation, gastrointestinal digestion, or controlled enzymatic hydrolysis of underutilized animal...

ChatGPT and Large Language Models in Contemporary Nursing.

OBJECTIVES: This narrative review synthesizes published evidence on the applications, benefits, limitations and governance considerations of ChatGPT a...

Multicentre performance and consistency of two deep learning models for malignancy probability estimation of incidental pulmonary nodules.

OBJECTIVES: A screening-trained deep learning (DL) model (DL1) for pulmonary nodule malignancy probability estimation on CT previously demonstrated go...

Local recurrence in rectal cancer: from detection to structured reporting.

Despite advances in total mesorectal excision and neoadjuvant therapy, locally recurrent rectal cancer remains a clinically important source of pelvic...

Mortality prediction of road traffic crash with artificial intelligence: a systematic review.

BACKGROUND: Road traffic crashes cause substantial global mortality and disability. Conventional injury severity scores may not fully capture the comp...

Prehospital Injury Severity Estimate (PHISE) matches in-hospital trauma scores when embedded in AI models.

Trauma severity scores such as the Injury Severity Score (ISS) and New Injury Severity Score (NISS) are widely used for trauma benchmarking, risk stra...

Mortality Research With Artificial Intelligence Tools: Applying Language Models to the National Violent Death Reporting System Suicide Narratives, 2003-2023.

Suicide deaths in the United States have increased for a generation with no current evidence of meaningful decline. With advances in data collection a...

Essential Innovations in Spinal Surgery: Contributions from the French School.

French innovation has profoundly shaped the evolution of spinal surgery over the past fifty years. While many French contributions are now internation...

Swimming in the Sea of Real-World Evidence (RWE) Guidance: Why More Guidance Documents Are Needed to Help Researchers Swim.

Real-world evidence (RWE) plays an expanding role in regulatory, health technology assessment (HTA), and lifecycle decision-making, prompting a rapid ...

Barriers, adoption patterns, and determinants of artificial intelligence use among health sciences students in Palestine.

Artificial intelligence (AI) is increasingly integrated into healthcare education worldwide, yet disparities in access, training, and institutional re...

The use of artificial intelligence models for interpretation and triage of clinical referral letters to acute and specialist care pathways: Protocol for a systematic review.

BACKGROUND: Clinical referral letters direct patients into acute, urgent, and specialist care pathways, but their triage is typically manual, heteroge...

Implementing AI-enabled chest X-ray for community-based integrated screening for tuberculosis, chronic respiratory diseases, and cardiovascular diseases in Nigeria.

BACKGROUND: Low- and middle-income countries face a growing dual burden of communicable and non-communicable diseases, while services remain verticall...

Early Adoption of Autonomous Artificial Intelligence Screening for Diabetic Retinopathy After Introduction of Medicare Billing Code 92229.

PURPOSE: Diabetic retinopathy remains a leading cause of blindness in the United States. Autonomous artificial intelligence (AI) systems for screening...

When high accuracy misleads in literature-derived machine learning for deep eutectic solvent recommendation.

Deep eutectic solvents (DESs) are widely used in analytical sample preparation, yet selecting suitable systems for specific analytes remains challengi...

Accuracy of Artificial Intelligence based chatbots in reporting jaw lesions from multimodal radiographic images: A cross-sectional study.

OBJECTIVES: The current study aimed to quantify the diagnostic accuracy of commonly utilized chatbots including Gemini, Copilot, Claude, and specializ...

Smartphone-based optical and spectroscopic sensors for food safety monitoring: principles, applications, and future directions.

Food safety monitoring increasingly requires analytical tools that are rapid, portable, and accessible beyond centralized laboratories. In this contex...

Nurse-Led Large Language Model Chatbot for Predicting and Preventing Complications After Coronary Artery Bypass Grafting: Protocol for a Randomized Controlled Trial.

BACKGROUND: Thirty-day unplanned readmission following coronary artery bypass grafting (CABG) affects 10%-20% of patients and is a key quality indicat...

Reporting Quality of Large Language Model Studies: A Cross-Sectional Audit of High-Ranking Radiology and Medical Imaging Journals.

OBJECTIVE: To evaluate adherence to the Minimum Reporting Items for Clear Evaluation of Accuracy Reports of Large Language Models in Healthcare (MI-CL...

Artificial intelligence in breast cancer imaging: a systematic review of diagnostic performance, predictive modeling, and clinical translation.

Artificial intelligence (AI) has rapidly advanced in breast cancer imaging, demonstrating high diagnostic and predictive performance across imaging mo...