Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Nursing Clinical Information System

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:

Health Information Technology and Healthcare Information System

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:

Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis

Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis

The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data...

Integrated Healthcare System

Integrated Healthcare System

An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...

Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

Tertiary Healthcare System

Tertiary Healthcare System

Specialized care provided over an extended period is called tertiary care. Usually, a primary or secondary care physician will refer a patient to tertiary care. A patient's maximum physical and mental function is restored in tertiary care, which is caused due to the impact of a chronic illness or condition. Tertiary care aims to achieve the highest level of functioning possible while managing chronic illness. For example, a patient who falls and fractures their hip will need secondary care...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Near-Infrared Light Triggered Upconversion Optogenetic Nanosystem for Cancer Therapy.

ACS nano·2017

Same author

Non-contact method to freely control the radiation patterns of antenna with multi-folded transformation optics.

Scientific reports·2017

Same author

Cost Effectiveness of Imatinib, Dasatinib, and Nilotinib as First-Line Treatment for Chronic-Phase Chronic Myeloid Leukemia in China.

Clinical drug investigation·2017

Same author

Improving Performance of Breast Cancer Risk Prediction by Incorporating Optical Density Image Feature Analysis: An Assessment.

Academic radiology·2017

Same author

Preliminary study on ultrasound-guided prostate biopsy specimen scores.

Experimental and therapeutic medicine·2017

Same author

Characterization of Continuous and Pulsed Emission modes of a Hybrid Micro Focus X-ray Source for Medical Imaging Applications.

Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment·2017

Same journal

The Essential Components and Critical Conditions for Success in a Learning Health System in Oncology.

Studies in health technology and informatics·2026

Same journal

Use of Artificial Intelligence in Screening for Adolescent Idiopathic Scoliosis: A Scoping Review.

Studies in health technology and informatics·2026

Same journal

Movement Related Biomechanics in Adolescent Idiopathic Scoliosis: A Review of Reviews.

Studies in health technology and informatics·2026

Same journal

The Impact of Surgical Correction of Adolescent Idiopathic Scoliosis Using Posterior Spinal Fusion on Selected Radiological Parameters and Respiratory Function.

Studies in health technology and informatics·2026

Same journal

Acute Effect of Physio-logic® Exercises on Muscle Tone and Stiffness in Adolescent Idiopathic Scoliosis Patients: A Preliminary Study.

Studies in health technology and informatics·2026

Same journal

Effects of Integrated Music and Occupational Therapy on Motor and Autonomic Function in Children with Neurogenic Scoliosis.

Studies in health technology and informatics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 24, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Intelligent Tutoring Systems for Adaptive Learning Pathways in Healthcare Training.

Simon Eckelt¹, Abed Soleymani¹, Bin Zheng²

¹Department of Electrical & Computer Engineering, University of Alberta, Canada.

Studies in Health Technology and Informatics

|February 23, 2026

Summary

This summary is machine-generated.

This study introduces an AI Recommender System for personalized robotic-assisted surgery (RAS) training. It uses adaptive task selection to accelerate learning and improve surgical skill acquisition.

Keywords:

Adaptive Learning Path Graph Neural Network (GNN)Intelligent Tutoring System (ITS)Knowledge Tracing (KT)Recommender System (RS)Reinforcement Learning (RL)Surgical Education Synthetic Dataset

Related Experiment Videos

Last Updated: Feb 24, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Area of Science:

Medical Education
Artificial Intelligence
Robotic Surgery

Background:

Traditional surgical training is resource-intensive and inefficient.
Robotic-assisted surgery (RAS) requires specialized, effective training methods.
Personalized and scalable training solutions are needed for surgical education.

Purpose of the Study:

To develop and evaluate an AI-powered Recommender System for personalized RAS training.
To enhance surgical skill acquisition through adaptive task selection.
To create a scalable and efficient training framework for robotic surgery.

Main Methods:

Developed a two-step Recommender System: a data-driven decision base and a reinforcement learning (RL) decision algorithm.
Utilized a synthetic dataset based on Item Response Theory Knowledge Tracing Model for simulation.
Employed a graph-based knowledge tracing model to identify latent task structures.

Main Results:

The graph-based knowledge tracing model effectively supported the decision base by revealing task relationships.
Reinforcement learning within the decision algorithm enhanced the selection of optimal training tasks.
The AI framework demonstrated potential for accelerating learning in simulated RAS training.

Conclusions:

AI-powered Recommender Systems offer a promising approach for personalized and scalable RAS training.
Integrating knowledge tracing and reinforcement learning improves adaptive task selection.
Further research is needed for real-world implementation and optimization of the AI training framework.