Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 48,491 to 48,500 of 224,199 articles

Analysis of Associated Factors and Construction of Risk Prediction Models for Frailty in Hospitalized Older Adults Living With HIV: Protocol for a Prospective Observational Study.

JMIR research protocols
BACKGROUND: The aging trend of people living with HIV or AIDS in China is increasing day by day. Frailty is a common condition among older adults living with HIV or AIDS and represents a significant cause of poor prognosis, including falls, decreased... read more 

Survival Prediction in Patients With Bladder Cancer Undergoing Radical Cystectomy Using a Machine Learning Algorithm: Retrospective Single-Center Study.

JMIR perioperative medicine
BACKGROUND: Traditional statistical models often fail to capture the complex dynamics influencing survival outcomes in patients with bladder cancer after radical cystectomy, a procedure where approximately 50% of patients develop metastases within 2 ... 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
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 

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

American journal of speech-language pathology
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 

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

JMIR AI
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 

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
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 

Smart Kiosk for Nutritional Management of People With Diabetes in Underserved Communities: Development and Technical Evaluation.

JMIR formative research
BACKGROUND: Diabetes is a chronic disease with a high global prevalence, increasing from 200 million people in 1990 to 830 million in 2022, with a higher burden in low- and middle-income regions and high mortality in Mexico and Veracruz. These inequa... read more 

Video-Based Motion Capture Smartphone Apps for Testing Human Motor Performance Skills: Scoping Review.

JMIR mHealth and uHealth
BACKGROUND: Good motor performance skills (MPS) are relevant in all stages of life. Higher MPS are associated with enhanced cognitive abilities and physical and mental health. The assessment of MPS is important to identify deficits in MPS at an early... read more 

Enhancing LGBTQ+ Inclusivity in an AI-Powered Sexual Health Chatbot: User-Centered Design Approach Through a Nonprofit and Academic Partnership.

Journal of medical Internet research
BACKGROUND: Despite the growing use of digital platforms for sexual health education, many tools fail to meet the needs of LGBTQ+ (lesbian, gay, bisexual, transgender, and queer) teenagers, who often lack access to inclusive, affirming resources. Art... read more 

A Deep Learning Framework for Comprehensive Prediction of Human RNA G-Quadruplex-Binding Proteins.

Bioinformatics (Oxford, England)
MOTIVATION: G-quadruplex-binding proteins (G4BPs) play key roles in RNA metabolism and stress response, yet their identification remains experimentally challenging. Here, we present a deep learning framework for the prediction of RNA G4BPs (RG4BPs), ... read more