AI Medical Compendium

Identifying Predictors of Gambling Episodes and Craving Using Ecological Momentary Assessment and Smartwatch-Based Physiological Measures: Protocol for a Longitudinal Observational Study.

JMIR research protocols Feb 19, 2026

BACKGROUND: Like other addictive behaviors, problem gambling is often chronic and relapsing. While digital interventions offer low-threshold treatment and support, their effectiveness is often limited by small effect sizes, low adherence, and high dr... read more

AI-Generated Images of Substance Use and Recovery: Mixed Methods Case Study.

JMIR AI Feb 19, 2026

BACKGROUND: Images created with generative artificial intelligence (AI) tools are increasingly used for health communication due to their ease of use, speed, accessibility, and low cost. However, AI-generated images may bring practical and ethical ri... read more

How Simple Can a Treatment for Early Stuttering Be? A Proposed Two-Factor Early Intervention.

American journal of speech-language pathology Feb 19, 2026

PURPOSE: In this clinical focus article, we draw attention to the need for immediate intervention shortly after stuttering onset. More than half of stuttering onsets occur before 3 years of age. We argue that existing interventions for preschool chil... read more

Screening for Clinically Significant Nephrolithiasis Based on Simple Health Checkup Clinical and Urine Parameters in General Populations: Multicenter Machine Learning Study.

JMIR medical informatics Feb 19, 2026

BACKGROUND: Nephrolithiasis affects approximately 15% of the population and often remains undetected in asymptomatic individuals. Current diagnostic approaches rely on imaging tools, such as ultrasound or computed tomography, which are costly, operat... read more

Aortic and Cardiac Structure From Routine CT Predict Cardiovascular Risk Beyond PREVENT and Coronary Calcium.

JACC. Cardiovascular imaging Feb 19, 2026

BACKGROUND: Cardiovascular disease prevention relies on accurate risk assessment; however, existing scores are imprecise. Routine imaging may be opportunistically used to predict risk. OBJECTIVES: The authors tested whether computed tomography (CT)-d... read more

Predicting Surgical Outcomes in Breast Reconstruction With Machine Learning: A Systematic Review.

Annals of plastic surgery Feb 19, 2026

INTRODUCTION: The applications of artificial intelligence (AI) in plastic surgery have grown considerably in recent years. As large patient datasets become more accessible, surgeons are increasingly leveraging machine learning (ML), a subset of AI, t... read more

Closing the AI benefits gap: Systems design for population health equity.

Public health Feb 19, 2026

Artificial Intelligence (AI) is currently failing to live up to its potential. Its champions promise that it will make healthcare more effective, efficient, and equitable, thereby improving population health. However, these benefits are not consisten... read more

Predicting surgical intensive care unit readmission with machine learning model: Bi-center training and validation.

Journal of critical care Feb 19, 2026

BACKGROUND: Patients readmitted to the surgical intensive care unit (SICU) face a high risk of mortality and increased hospital costs. Identifying patients at risk of SICU readmission is crucial. This study aims to develop a machine-learning (ML) mod... read more

A longitudinal examination of clinical simulation in a postpandemic era: A national survey of prelicensure nursing programs.

Nursing outlook Feb 19, 2026

BACKGROUND: Despite evidence of an uptick in clinical simulation adoption during the pandemic, there are no studies assessing the durability of national usage trends following the health crisis. PURPOSE: A longitudinal examination of prelicensure nur... read more

Neoadjuvant Radiation is Causally Linked to Increased Operative Time and Perioperative Blood Transfusion in Pancreatic Ductal Adenocarcinoma.

The Journal of surgical research Feb 19, 2026

INTRODUCTION: Blood transfusion in patients undergoing surgical resection for pancreatic ductal adenocarcinoma (PDAC) is associated with worse outcomes. As the treatment paradigm shifts toward neoadjuvant therapy, little is known about how this may i... read more

Artificial Intelligence Medical Compendium