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

Acute Pharyngitis01:30

Acute Pharyngitis

551
Introduction
Acute pharyngitis is the inflammation of the back of the throat (pharynx), commonly resulting in a sore throat. It is a frequently encountered condition that prompts individuals to seek medical advice.
Classification
Acute pharyngitis can be categorized based on its underlying cause:
551
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.6K
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...
5.6K
Tonsillitis I: Introduction01:30

Tonsillitis I: Introduction

225
Tonsillitis is inflammation of the tonsils, which are two lymphoid tissue masses at the back of the throat. This condition can cause discomfort and irritation in the throat.
Etiology
Three primary contributing factors have been identified.
225
Current Trends in Nursing II01:30

Current Trends in Nursing II

1.2K
Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
1.2K
Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

671
Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...
671
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

119
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
119

You might also read

Related Articles

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

Sort by
Same author

CT-override: endoscopic updates to preoperative anatomical models during ablative surgery.

International journal of computer assisted radiology and surgery·2026
Same author

BronchOpt: vision-based pose optimization with fine-tuned foundation models for accurate bronchoscopy navigation.

International journal of computer assisted radiology and surgery·2026
Same author

Large Language Model-Enabled Editing of Patient Audio Interviews From "This Is My Story" Conversations: Comparative Study.

JMIR medical informatics·2026
Same author

Monocular Vision-Based Endoscopic Sinus Navigation: A SLAM Driven Approach With CT Integration.

Healthcare technology letters·2025
Same author

Automatic photoacoustic monitoring of perinatal brain hypoxia with superior sagittal sinus detection.

Journal of biomedical optics·2025
Same author

Direct Prediction of 48 Month Survival Status in Patients with Uveal Melanoma Using Deep Learning and Digital Cytopathology Images.

Cancers·2025

Related Experiment Video

Updated: Jun 19, 2025

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
05:35

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

Published on: January 19, 2024

759

Explainable AI decision support improves accuracy during telehealth strep throat screening.

Catalina Gomez1, Brittany-Lee Smith2, Alisa Zayas2

  • 1Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.

Communications Medicine
|July 24, 2024
PubMed
Summary

Artificial intelligence clinical decision support systems (CDSS) improve strep throat diagnosis accuracy in telehealth. However, lower clinician trust in AI necessitates enhanced human-machine collaboration for effective virtual healthcare adoption.

More Related Videos

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.4K
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

7.6K

Related Experiment Videos

Last Updated: Jun 19, 2025

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
05:35

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

Published on: January 19, 2024

759
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.4K
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

7.6K

Area of Science:

  • Telehealth and digital health innovations.
  • Clinical decision support systems (CDSS) and artificial intelligence (AI).
  • Infectious disease diagnostics and management.

Background:

  • Smartphone-acquired images offer new avenues for remote diagnosis in telehealth.
  • Clinician trust and understanding are critical for adopting AI-based clinical decision support systems (CDSS).
  • This study investigates human-AI interaction paradigms for an AI CDSS detecting streptococcal pharyngitis (strep throat) from smartphone images.

Purpose of the Study:

  • To examine how different human-AI interaction paradigms influence clinician responses to an AI CDSS for strep throat detection.
  • To assess the impact of explainable AI on clinician accuracy, confirmatory testing, trust, and understanding.

Main Methods:

  • A randomized experiment was conducted with 121 telehealth providers using an online survey.
  • Participants evaluated clinical vignettes with either a Modified Centor Score or an explainable AI prototype.
  • Linear models analyzed the effect of explainable AI on diagnostic accuracy, confirmatory testing, trust, and understanding.

Main Results:

  • AI-based CDSS improved clinician predictions compared to the Centor Score.
  • Despite higher agreement with AI predictions, clinicians reported lower trust in AI than in the Centor Score.
  • Lower trust in AI led to increased requests for in-person confirmatory testing.

Conclusions:

  • AI-based CDSS can enhance the accuracy of remote strep throat screening in telehealth.
  • Improving human-machine collaboration, particularly trust and intelligibility, is essential for AI integration.
  • Effective AI integration ensures optimal utilization of smartphones and AI for virtual healthcare and prevents antibiotic over-prescription.