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

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
Integrated Healthcare System01:20

Integrated Healthcare System

1.5K
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,...
1.5K
Nursing Clinical Information System01:27

Nursing Clinical Information System

749
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:
749
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

799
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
799
Healthcare Agencies II01:17

Healthcare Agencies II

678
There are various healthcare agencies in the United States—some of which are managed by religious institutions and others by different government branches.
Parish nursing is a growing specialty nursing profession that focuses on holistic healthcare, health promotion, and illness prevention. It blends professional nursing practice with a health ministry, focusing on health and healing within the context of a Christian community. Parish nurses serve as health educators, referral sources,...
678
Hospitals-II00:59

Hospitals-II

730
Hospitals provide inpatient and outpatient services. Inpatient services provide care to patients that stay in the hospital for an extended period, ranging from days to months. Examples of inpatient services include intensive care units, hospital wards, or surgeries. Outpatient services provide care to patients who come to a hospital for a diagnostic or treatment but do not stay overnight —for example, diagnostic tests, surgical procedures, or health education.
Nurses that work in...
730

You might also read

Related Articles

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

Sort by
Same author

Multi-parametric magnetic resonance imaging evaluation of a novel <i>ex ovo</i> chick chorioallantoic membrane model for cancer research.

Quantitative imaging in medicine and surgery·2025
Same author

A deep learning framework for enhanced mass spectrometry data analysis and biomarker screening.

Computer methods in biomechanics and biomedical engineering·2025
Same author

Dual-Mode Treatment of Hepatocellular Carcinoma Using RGD Cyclopeptide-Modified Liposomes Loaded with Ce6/DOX.

International journal of nanomedicine·2025
Same author

Emerging engineered nanozymes: current status and future perspectives in cancer treatments.

Nanoscale advances·2025
Same author

An integrated platform for decoding hydrophilic peptide fingerprints of hepatocellular carcinoma using artificial intelligence and two-dimensional nanosheets.

Journal of materials chemistry. B·2024
Same author

Enhanced Prediction of Malignant Cerebral Edema in Large Vessel Occlusion with Successful Recanalization Through Automated Weighted Net Water Uptake.

World neurosurgery·2024

Related Experiment Video

Updated: Jun 3, 2025

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

8.6K

AIScholar: An OpenFaaS-enhanced cloud platform for intelligent medical data analytics.

Weili Peng1, Yichao Hong1, Yuanyuan Chen1

  • 1Machine Intelligence Lab, College of Computer Science, Sichuan University, Chengdu, 610065, China.

Computers in Biology and Medicine
|January 9, 2025
PubMed
Summary

AIScholar is a scalable AI platform for analyzing clinical medical data, simplifying complex processes for researchers. It enhances diagnostic capabilities and accelerates insights from data, improving medical research and clinical practice.

Keywords:
Artificial intelligenceCloud toolOpenFaaSScalabilityServerless computingUser-friendly

More Related Videos

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

4.2K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.0K

Related Experiment Videos

Last Updated: Jun 3, 2025

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

8.6K
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

4.2K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.0K

Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Medicine
  • Cloud Computing for Healthcare

Background:

  • Clinical medical data analysis is complex and resource-intensive.
  • There is a need for efficient and scalable tools to derive insights from medical data.
  • Existing platforms may lack ease of use and customizability for diverse analytical needs.

Purpose of the Study:

  • To introduce AIScholar, an intelligent research cloud platform.
  • To demonstrate AIScholar's capabilities in simplifying and accelerating clinical medical data analysis.
  • To highlight the platform's utility in aiding clinical diagnosis and decision-making.

Main Methods:

  • Development of AIScholar using artificial intelligence analysis and the OpenFaaS serverless framework.
  • Encapsulation of diverse medical data analytics methods into customizable cloud tools.
  • Implementation within a serverless computing framework for high scalability and ease of use.

Main Results:

  • AIScholar provides a scalable and user-friendly platform for clinical medical data analysis.
  • The platform accelerates the deployment of computational resources, enabling efficient data insights.
  • A case study on breast cancer data demonstrated practical utility in diagnosis and decision-making.

Conclusions:

  • AIScholar significantly enhances the analysis of clinical medical data.
  • The platform empowers clinicians and researchers with efficient analytical tools.
  • AIScholar promotes advancements in medical research and clinical practice through improved data-driven insights.