Domestic Violence

A benchmarking study of feature screening approaches across type 1 diabetes omics studies classification settings.

In recent years, high dimensional omics analyses have become more commonplace for investigating complex biological systems. Typically, these studies attempt to identify key biomolecules associated with a particular biological process. Often, machine learning (ML) is used to identify these biomolecules, typically by learning which biomolecules are highly predictive of a treatment, biological outcom...

DELTA: Strengthening human biological resilience with an N=1 digital health and dynamic biomarker protocol.

Societies are aging rapidly in parallel with the increasingly earlier onset of serious diseases in younger populations. These and other factors are creating a substantial disparity between healthspan, the period of life where an individual is free from serious chronic disease or disability, and lifespan - expanding the morbidity span. Extending healthspan has thus become a major priority. To pursu...

Cardiosim-Tox: an interpretable multitask deep learning QSAR platform with multimodal feature fusion for predicting hERG, Cav1.2, and Nav1.5 blockade risk and potency.

Drug-induced cardiotoxicity, mainly driven by cardiac ion-channel blockade, remains a leading cause of drug attrition and post-market withdrawal, high...

A scoping review on the application of new technology in the screening and diagnosis of adolescent idiopathic scoliosis.

INTRODUCTION: Adolescent Idiopathic Scoliosis (AIS) affects 2-4% of adolescents globally. Current screening methods face challenges, including high fa...

Accuracy of Chatbot-Based Health Advice Related to Traumatic Dental Injuries: A Systematic Review and Meta-Analysis.

BACKGROUND/AIMS: The growing use of generative artificial intelligence, especially chatbots, has motivated researchers to test the accuracy of health ...

Bridging the Diagnostic Gap: Reviewing Current Endometriosis Screening Tools and Models.

Background: Endometriosis affects 10% of reproductive-aged women globally and is one of the major causes of infertility. It is a debilitating, chronic...

Opportunistic Screening for Chagas Disease Using an Artificial Intelligence-Enabled ECG: Prospective Evaluation of Feasibility and Diagnostic Accuracy.

BACKGROUND: Chagas disease (ChD), a neglected cardiovascular condition, affects 7.5 to 10.5 million people worldwide. Opportunistic screening during r...

Innovations using digital technologies for periodontal diagnosis and prognosis: a narrative review.

OBJECTIVE: This narrative review aims to identify and evaluate the available scientific literature on digital technologies assisting clinicians in per...

Mass Spectrometry Prediction Based on Few-Shot Neural Network and Chemical Prior Knowledge for Regulatory Screening of Cosmetic Glucocorticoid.

Glucocorticoids are prohibited in cosmetics due to health risks, yet illegal additions persist through structural modifications that evade conventiona...

Assessing Different Machine Learning Algorithms to Identify Traumatic Cardiac Arrest.

OBJECTIVE: Traumatic cardiac arrest differs from non-traumatic regarding epidemiology. This study evaluated five machine learning classifiers' ability...

Methods of Evaluating Large Language Model-Based Health Care Applications Used by Nonprofessionals: Protocol for a Scoping Review.

BACKGROUND: Large language models (LLMs) are increasingly used in health care by nonprofessionals (ie, individuals without formal training in health-r...

Application of Machine Learning Classifiers in Rapid Reviews for Health Research: A Case Example Using EPPI-Reviewer.

INTRODUCTION: Rapid reviews aim to deliver timely evidence for decision-makers when full systematic reviews are not possible or practical. Efficient s...

Diagnostic accuracy of deep learning-assisted low-dose CT screening for lung cancer detection: a systematic review and meta-analysis.

BACKGROUND: Deep learning (DL)-assisted low-dose computed tomography (LDCT) may improve lung cancer screening, but the available evidence is heterogen...

Real-world analysis of depression-related adverse events associated with the adsorbed anthrax vaccine: integrating pharmacovigilance signals, machine learning risk prediction, and transcriptomic mechanisms.

BACKGROUND: Anthrax remains a life-threatening zoonotic disease in resource-limited settings. Adsorbed anthrax vaccine (AVA, BioThrax) is the only Uni...

Predicting Prehospital Blood Transfusion After Motor Vehicle Trauma.

OBJECTIVES: Prehospital blood transfusion (PHBT) improves outcomes among patients with traumatic hemorrhagic shock, yet the epidemiology and geographi...

Automated Features, Algorithms, and Technologies of Electronic Early Warning/Track-and-Trigger Systems: Systematic Review.

BACKGROUND: Electronic early warning/track-and-trigger systems (EW/TTS) are crucial for patient monitoring, detecting clinical deterioration (CD), and...

Nurse-Led Ambient AI Scribe for Patient Safety Incident Investigation Reports (Project NARRATE): Retrospective Pre-Post Comparative Document-Quality Study.

BACKGROUND: Patient safety investigation reports support organizational learning only when they are complete, usable, and sufficiently detailed. Conve...

Artificial intelligence in medical education: a narrative review across four functional domains.

BACKGROUND: Artificial intelligence (AI) is increasingly reshaping medical and health-professions education through adaptive tutoring, generative cont...

A blood-based test for detection of advanced adenomas and colorectal cancer (DENEB): a multicentre diagnostic accuracy study.

BACKGROUND: Colorectal cancer is the third most common and second deadliest cancer in the USA, but cases and deaths are preventable through appropriat...

Large language models in respiratory care: safety and clinical integration.

BACKGROUND: Large language models (LLMs) are rapidly entering respiratory medicine workflows. Their clinical role remains unclear. A central concern i...