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

Distribution Reliability and Automation01:25

Distribution Reliability and Automation

497
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
497
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.1K
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...
6.1K

You might also read

Related Articles

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

Sort by
Same author

Group Sequential Design and Monitoring of Clustered Data in Randomized Eye Trials.

Statistics in biopharmaceutical research·2026
Same author

Candidate Passive Sensor Suite Technologies for Tactical Combat Casualty Care Environments: Comparative Assessment Study.

JMIR medical informatics·2026
Same author

Structure, characterisation and application of an unspecific peroxygenase from <i>Daldinia childiae</i>.

RSC chemical biology·2026
Same author

Implant survival and limb salvage rates after combined proximal tibial and distal femoral endoprosthetic replacement.

The bone & joint journal·2026
Same author

Can we quantify a safe margin to reduce local recurrence in parosteal osteosarcomas around the distal femur? A cohort study based on 27 patients.

Acta orthopaedica·2026
Same author

Role of chest imaging in GCTB staging and surveillance.

Clinical imaging·2026

Related Experiment Video

Updated: Jan 17, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

4.9K

Investigation and Analysis of Available Chatbot Technologies to Integrate in Multi-Domain Operational,

Triana Rivera-Nichols1, Scott Evans2, Alexander McKenzie2

  • 1Telemedicine and Advanced Technology Research Center, Fort Detrick, Maryland, 21702-5012, United States.

Military Medicine
|September 23, 2025
PubMed
Summary
This summary is machine-generated.

Military medics can use AI-powered chatbots for advanced clinical decision support in disconnected environments. These systems modernize battlefield care by providing critical treatment guidance when connectivity is limited.

Keywords:
AICDSSChatbotMLPCCPOIartificial intelligenceclinical decision support systemsmachine learningpoint of injuryprolonged casualty care

More Related Videos

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.8K
Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.5K

Related Experiment Videos

Last Updated: Jan 17, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

4.9K
Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.8K
Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.5K

Area of Science:

  • Military medicine
  • Artificial Intelligence in Healthcare
  • Clinical Decision Support Systems

Background:

  • Traditional paper-based protocols are being replaced by digital solutions for modernizing battlefield medical care.
  • Advances in AI/ML offer potential for chatbots to assist military providers in Multi-Domain Operations (MDO), even with limited connectivity.

Purpose of the Study:

  • To explore the feasibility of prototype clinical decision support system (CDSS) chatbots using AI/ML.
  • To aid combat medics in following clinical protocols and treatment procedures.

Main Methods:

  • Phase 1: Evaluated commercial off-the-shelf (COTS) technologies for Delayed/Disconnected, Intermittently Connected, Low-Bandwidth (DIL) MDO conditions.
  • Phase 2: Trained CDSS Chatbot algorithms using US Army MEDCOM protocols and validated against historical patient data.
  • Phase 3: Integrated chatbot prototypes with hands-free headset technologies for testing in DIL conditions.

Main Results:

  • Selected portable, rugged, and secure devices for DIL/MDO: AWS Development Kit, AWS Snowball, Amazon Echo 10, and Microsoft HoloLens.
  • Ongoing integration of prototype hardware and software into hands-free input devices (Echo 10 and HoloLens).

Conclusions:

  • Developed and assessed CDSS chatbot prototypes leveraging existing clinical algorithms.
  • Focused on hands-free inputs to deliver medical guidance for casualty treatment in challenging environments.