Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Pre-Procedural Guidelines for Assessing Blood Pressure01:10

Pre-Procedural Guidelines for Assessing Blood Pressure

794
Accurate blood pressure assessment is crucial for diagnosing and managing various health conditions. To ensure the reliability of these measurements, healthcare professionals must adhere to standardized pre-procedural guidelines. These guidelines enhance patient safety and improve the overall quality of healthcare. The following steps are essential for obtaining accurate and consistent blood pressure readings, from using the appropriate tools to ensuring effective communication with the...
794
Coronary Artery Disease IV: Preventive Measures01:26

Coronary Artery Disease IV: Preventive Measures

577
Effective preventive measures for coronary artery disease (CAD) focus on controlling modifiable risk factors, including cholesterol abnormalities and lifestyle changes.Cholesterol ManagementFirst, the Mediterranean diet and the American Heart Association advocate for maintaining low-density lipoprotein (LDL) cholesterol levels below 100 mg/dL, with a more stringent recommendation of below 70 mg/dL for individuals at high risk. LDL cholesterol, often termed "bad cholesterol," can lead to the...
577
Assessment of blood pressure in brachial artery(two-step method)01:23

Assessment of blood pressure in brachial artery(two-step method)

1.4K
Measuring blood pressure is a fundamental skill in healthcare that aids in diagnosing and monitoring hypertension and other cardiovascular conditions. An aneroid sphygmomanometer, commonly used in clinical settings, offers a manual and precise method for blood pressure measurement. The technique for using this instrument involves specific steps that must be carefully executed to ensure accuracy. The following detailed description outlines a two-step technique for assessing blood pressure using...
1.4K
Assessment of blood pressure in brachial artery(one-step method)01:15

Assessment of blood pressure in brachial artery(one-step method)

1.1K
This procedural guide systematically measures blood pressure using an oscillometric digital sphygmomanometer, emphasizing accuracy, patient safety, and comfort.
Prepare for the Procedure:
1.1K
Assessment of the Cardiovascular System I: Subjective Data01:23

Assessment of the Cardiovascular System I: Subjective Data

740
A thorough health history and physical assessment are essential for identifying cardiovascular disease (CVD) symptoms and distinguishing them from other health issues.
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
740
Assessment of apical radial pulse01:25

Assessment of apical radial pulse

1.2K
Apical-Radial (A-R) Pulse Assessment
The A-R pulse assessment involves simultaneous evaluation of the apical and radial pulses. When the apical and radial pulse rates vary, this assessment helps identify a pulse deficit.
Pre-Procedural Preparation
1.2K

You might also read

Related Articles

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

Sort by
Same author

Fine-tuning and evaluating large language models for patient safety tasks: classification of contributing factors in incident reports.

Journal of the American Medical Informatics Association : JAMIA·2026
Same author

Designing AI tools to advance health equity in resource-constrained low- and middle-income countries.

Digital health·2026
Same author

The Role of Explanations in AI-Generated Alerts: Qualitative Study of Clinical Views on Explainable AI in Predictive Tools.

JMIR human factors·2026
Same author

Successful single-center experiences of laser crossectomy in zone zero in Endovenous Laser Ablation (EVLA) for chronic venous insufficiency - a case series.

F1000Research·2026
Same author

Aberrant Beta-Band Network Alteration Preceding Freezing of Gait in Parkinson's Disease.

Movement disorders : official journal of the Movement Disorder Society·2026
Same author

Chronic stress and the IL-10-mediated immunoregulatory loop in the pathogenesis of periodontitis.

Clinical science (London, England : 1979)·2025
Same journal

How Does That Large Language Model Make You Feel?

Journal of medical Internet research·2026
Same journal

Transformation Versus Innovation in Digital Health Care and the Future of Clinical AI.

Journal of medical Internet research·2026
Same journal

Building a Malaria Intelligence System for Real-Time Prediction and Data-Driven Intervention Planning.

Journal of medical Internet research·2026
Same journal

Therapeutic Interaction Features of AI Chatbots in Depression Interventions: Systematic Review and Meta-Analysis.

Journal of medical Internet research·2026
Same journal

Large Language Model Versus Multidisciplinary Team: Feasibility Study of Pancreatic Cancer Management Recommendations.

Journal of medical Internet research·2026
Same journal

Centers for Medicare & Medicaid Services to Launch Landmark ACCESS Program.

Journal of medical Internet research·2026
See all related articles

Related Experiment Video

Updated: Jan 10, 2026

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

12.2K

AI-Assisted Cardiovascular Risk Assessment by General Practitioners in Resource-Constrained Indonesian Settings Using

Anindya Pradipta Susanto1,2,3, David Lyell1, Bambang Widyantoro4

  • 1Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, 75 Talavera Road, Sydney, 2113, Australia, 61 423309268.

Journal of Medical Internet Research
|November 25, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) clinical decision support (CDS) significantly improves atherosclerotic cardiovascular disease (ASCVD) risk assessment and statin prescription in resource-constrained settings. AI-CDS also reduces physician decision-making time, enhancing efficiency in primary care.

Keywords:
artificial intelligenceautomationclinical decision supportclinical decision-makingheart disease risk factorsrisk assessment

More Related Videos

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

792
Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

8.0K

Related Experiment Videos

Last Updated: Jan 10, 2026

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

12.2K
Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

792
Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

8.0K

Area of Science:

  • Digital health and Artificial Intelligence (AI)
  • Cardiovascular disease prevention
  • Health informatics

Background:

  • Preventive strategies integrating digital health and AI show promise for mitigating atherosclerotic cardiovascular disease (ASCVD).
  • AI-enabled clinical decision support (CDS) offers patient-specific insights beyond traditional risk factors.
  • The efficacy of AI-CDS in resource-constrained settings for ASCVD risk management is under-explored.

Purpose of the Study:

  • To evaluate the impact of AI-based CDS on 10-year ASCVD risk assessment and management in primary prevention.
  • To compare AI-based CDS with automated CDS and no decision support in a primary care context.

Main Methods:

  • A 3-way, within-subject randomized controlled study involving 102 doctors in Indonesia.
  • Doctors assessed 10-year ASCVD risk and management decisions for 9 clinical vignettes under three conditions: AI-based CDS, automated CDS, or no support.
  • Outcomes included correct risk assessment, patient management (aspirin, statin, antihypertensive prescriptions, referrals), decision-making time, and perceived AI utility.

Main Results:

  • AI-based CDS improved ASCVD risk assessment by 27% and statin prescription by 29% compared to no support.
  • AI-assisted decision-making was significantly more accurate for risk assessment and statin prescription, with a number needed to treat of 3.7 for correct risk classification.
  • AI-assisted cases required less decision-making time (63.6s vs 72.8s), while improvements in aspirin/antihypertensive prescriptions and referral decisions were not statistically significant.

Conclusions:

  • AI-based CDS demonstrates significant potential for improving ASCVD risk assessment and statin prescribing in resource-constrained primary care settings.
  • Reduced decision-making time with AI-CDS highlights its value for efficient healthcare resource utilization.
  • Further research is warranted to confirm the real-world applicability of these findings in low-resource environments.