Artificial Intelligence Medical Compendium

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

Showing 1,971 to 1,980 of 235,116 articles

A Spatial Machine Learning Approach for Analyzing Population-Level Factors Associated with Emergency Department Visits with Diabetes Diagnoses.

Journal of urban health : bulletin of the New York Academy of Medicine
Emergency department (ED) visits for diabetes arise from complications related to both acute and chronic symptoms including, but not limited to, cardiovascular diseases, renal failure, neurological issues, and retinopathy. Research has shown that suc... read more 

Automated Lewis Score Estimation for Small Bowel Crohn Disease Using Capsule Endoscopy: Retrospective Cohort Study.

JMIR medical informatics
BACKGROUND: Small bowel capsule endoscopy (SBCE) is widely used to evaluate small bowel involvement in Crohn disease (CD); however, manual Lewis score calculation is time-consuming and susceptible to interobserver variability. OBJECTIVE: This study a... read more 

AI adoption and employees' physical and cognitive ergonomic outcomes in the information technology sector: The mediating roles of trust in ai and workload.

Work (Reading, Mass.)
BackgroundThe rapid adoption of artificial intelligence (AI) in the information technology (IT) reshaping the work design, with significant consequences for employee well-being and ergonomics. While AI enhances efficiency through task automation, its... read more 

Developing and evaluating a remote, self-administered, AI-powered occupational therapy initial assessment: A crossover randomized controlled trial.

Work (Reading, Mass.)
BackgroundArtificial intelligence (AI) is spreading through health care, yet systems that administer assessments directly to clients remain untested in occupational therapy (OT), where the initial assessment both gathers data and builds therapeutic r... read more 

Utilizing Artificial Intelligence in audiology and speech-language pathology education: Insights from ASLP students.

Work (Reading, Mass.)
BackgroundEmerging artificial intelligence-based technologies are increasingly influencing teaching and learning practices in healthcare education, offering new opportunities for student engagement, learning, and skill development.ObjectiveThe purpos... read more 

Application of machine learning for personalized advice about workers' lifestyle changes to improve sustainable employability: Development and evaluation of a decision support tool.

Work (Reading, Mass.)
BackgroundOccupational Health Check-ups (OHCs) have evolved from identifying work-related health risks to supporting sustainable employability through individualized lifestyle advice, but translating multidimensional demographic, occupational, and he... read more 

How is automation related to work characteristics and employee well-being? A work design perspective.

Work (Reading, Mass.)
BackgroundAutomation, including both robots and AI, are increasingly implemented in the public sector to handle an increased demand for services while facing a shortage of staff. However, little is known of how automation is related to employees' wor... read more 

Emerging hydrogel platforms for disease modeling, diagnosis, and imaging of Alzheimer's disease.

Journal of Alzheimer's disease : JAD
Alzheimer's disease (AD) is a progressive neurodegenerative disease characterized by the presence of amyloid plaques, neurofibrillary tangles, neurodegeneration, cognitive decline, and dementia. The exact pathogenesis is not well understood, as appro... read more 

Artists Can Design Memory, and AI Can Predict It.

Psychological science
Can artists deliberately design artworks to be remembered-or forgotten? Across three experiments, we tested whether visual-memory outcomes can be shaped through artistic design and how they are predicted by artists, laypeople, and artificial intellig... read more 

Balancing Gradient Frequencies Facilitates Inductive Inference in Algorithmic Reasoning.

IEEE transactions on pattern analysis and machine intelligence
Inductive inference, or extrapolation of general rules from finite instances, is understood to be the foundation of human intelligence. Unfortunately, Deep Neural Networks (DNNs) struggle with inductive inference and thus fail to learn even the simpl... read more