AIMC Topic: Models, Educational

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A deep learning-based system for bile duct annotation and station recognition in linear endoscopic ultrasound.

EBioMedicine
BACKGROUND: Detailed evaluation of bile duct (BD) is main focus during endoscopic ultrasound (EUS). The aim of this study was to develop a system for EUS BD scanning augmentation.

Predicting Hospital Readmission: A Joint Ensemble-Learning Model.

IEEE journal of biomedical and health informatics
Hospital readmission is among the most critical issues in the healthcare system due to its high prevalence and cost. The improvement effort necessitates reliable prediction models which can identify high-risk patients effectively and enable healthcar...

Artificial intelligence in medical education.

Medical teacher
Artificial intelligence (AI) is a growing phenomenon, and will soon facilitate wide-scale changes in many professions, including medical education. In order for medical educators to be properly prepared for AI, they will need to have at least a funda...

Telehealth in Mental Health Nursing Education: Health Care Simulation With Remote Presence Technology.

Journal of psychosocial nursing and mental health services
The feasibility of integrating remote presence technology within a simulation scenario for psychiatric-mental health nursing (PMHN) students to develop telehealth competencies was evaluated. A wireless, audiovisual robot from DoubleĀ® Robotics, maneuv...

A Discrete Multiobjective Particle Swarm Optimizer for Automated Assembly of Parallel Cognitive Diagnosis Tests.

IEEE transactions on cybernetics
Parallel test assembly has long been an important yet challenging topic in educational assessment. Cognitive diagnosis models (CDMs) are a new class of assessment models and have drawn increasing attention for being able to measure examinees' ability...

Deep learning in pharmacogenomics: from gene regulation to patient stratification.

Pharmacogenomics
This Perspective provides examples of current and future applications of deep learning in pharmacogenomics, including: identification of novel regulatory variants located in noncoding domains of the genome and their function as applied to pharmacoepi...

A hybrid manifold learning algorithm for the diagnosis and prognostication of Alzheimer's disease.

AMIA ... Annual Symposium proceedings. AMIA Symposium
The diagnosis of Alzheimer's disease (AD) requires a variety of medical tests, which leads to huge amounts of multivariate heterogeneous data. Such data are difficult to compare, visualize, and analyze due to the heterogeneous nature of medical tests...

Application of AI-assisted multi-advisor system combined with BOPPPS teaching model in clinical pharmacy education.

BMC medical education
BACKGROUND: The development of clinical pharmacy in China has been relatively slow, and standardized, effective training for clinical pharmacists remains a major challenge. At present, traditional teaching methods are not conducive to cultivating cli...