Artificial Intelligence Medical Compendium

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

Showing 42,741 to 42,750 of 223,853 articles

Analysis of the effects of individual characteristics, safety training and awareness of dockers on occupational accidents using accident causality models.

International journal of occupational safety and ergonomics : JOSE
Objectives. This research aims to provide information on factors that may affect the accident susceptibility of workers by using various individual characteristics of workers as variables with machine learning algorithms, and the effects of occupatio... read more 

An AI-enhanced interactive storytelling platform for children with cognitive disabilities.

Assistive technology : the official journal of RESNA
This research presents the development and empirical evaluation of an AI-enhanced interactive storytelling system designed specifically for children with cognitive disabilities. Addressing the critical gap in accessible educational technologies, our ... read more 

AI-Based Personalized Therapy With Clinical Intelligence and Radiomics (SPOILS) for Patients With Low Back Pain: Prospective Observational Study.

JMIR AI
BACKGROUND: Low back pain (LBP) is a leading cause of disability worldwide, affecting people of all ages while showing increasing prevalence among younger demographics. Patients may present with different symptoms and treatment responses despite iden... read more 

Random subspace-based ensemble classifier for high-dimensional data Using SPARK.

PloS one
High-dimensional data classification remains challenging for machine learning models due to sparsity and overfitting caused by the 'curse of dimensionality'. As the number of features increases, data points become sparse, hindering generalization in ... read more 

Mortality score in chronic coronary syndrome: prediction model from the ISCHEMIA trial.

European journal of preventive cardiology
AIMS: Accurate stratification of mortality risk is essential for management of chronic coronary syndromes (CCS), but existing models focus primarily on short-term outcomes and acute settings. We aimed to develop and validate a machine learning model ... read more 

Using Semiautomated WhatsApp Messages for Daily Stress Measurements: Integrated Usability and Feasibility Study.

JMIR formative research
BACKGROUND: Stress is a key determinant of health outcomes and may influence work performance. Questionnaire-based assessments of stress are typically broad and retrospective. Daily stress measurements via smartphones offer more granular, real-time d... read more 

Current methods for analyzing time-series patient-generated health data to assess treatment response: a scoping review.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: We aimed to identify and map recent studies using high-frequency, time-series electronic patient-generated health data (ePGHD) to assess treatment response; characterize ePGHD types and collection methods; summarize ePGHD-based definition... read more 

AI-Enhanced Conversational Agents for Personalized Asthma Support in People With Asthma: Factors for Engagement, Value, and Efficacy in a Cross-Sectional Survey Study.

JMIR human factors
BACKGROUND: Asthma-related deaths in the United Kingdom are the highest in Europe, and only 30% of patients access basic care. There is a need for alternative approaches to reaching people with asthma to provide health education, self-management supp... read more 

Brain Extracellular Matrix-Based Electronic Brain Biochip.

ACS nano
To monitor neuronal activity with high fidelity, in vitro models must recapitulate not only the cellular composition but also the three-dimensional (3D) microenvironment of the brain. Here, we present an electronic brain biochip that integrates anima... read more