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

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
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

3.3K
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
3.3K
Purpose of Health Records I01:11

Purpose of Health Records I

1.7K
The vital purpose of health records is to provide a complete and accurate account of a patient's medical history, including communication, diagnostic and therapeutic orders, care planning, research, and quality review.
Here's a breakdown of how health records serve these purposes:
1.7K
Data Validation01:03

Data Validation

6.3K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
6.3K
Purpose of Health Records II01:19

Purpose of Health Records II

1.4K
Health records serve various essential purposes in the healthcare system. Here are some key purposes:
1.4K
Legal Guidelines for Documentation01:06

Legal Guidelines for Documentation

2.0K
The legal guidelines for nursing documentation are essential for ensuring accurate, professional, and ethical recording of patient care. The guidelines are discussed here:
2.0K

You might also read

Related Articles

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

Sort by
Same author

Domain Generalization Mitigates Scanner-Induced Domain Shift in Medical Imaging.

Journal of imaging informatics in medicine·2026
Same author

Radiomics Applicability Domain Analysis Classification Framework (RADAN-CF): A method for evaluating prediction reliability in radiomics.

Computer methods and programs in biomedicine·2026
Same author

From theory to practice: Re-identification Challenge to test imaging data pseudonymization effectiveness.

Scientific data·2026
Same author

Consistency of Radiological Staging in Resectable Mismatch-Repair Proficient Colon Cancer: An Interobserver Agreement Study.

Clinical colorectal cancer·2026
Same author

Explainable AI Radiomics in Prostate Cancer Aggressiveness Prediction using different quantitative Diffusion MRI models.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Stain normalization matters: impact on feature relevance and classifier performance in mCRC therapy response prediction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Related Experiment Video

Updated: Jan 14, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

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

Published on: July 11, 2025

797

AI Model Passport: Data and system traceability framework for transparent AI in health.

Varvara Kalokyri1, Nikolaos S Tachos2, Charalampos N Kalantzopoulos2

  • 1Institute of Computer Science, Foundation for Research and Technology Hellas (FORTH), Heraklion, Greece.

Computational and Structural Biotechnology Journal
|October 20, 2025
PubMed
Summary

This study introduces the AI Model Passport, a digital identity for artificial intelligence (AI) models in healthcare. This framework enhances transparency, reproducibility, and regulatory compliance for AI systems.

Keywords:
AIF.U.T.U.R.E. AIFAIRMLOpsMedical ImagingOntologiesReproducibilityTraceabilityTransparency

More Related Videos

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
09:00

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

5.2K

Related Experiment Videos

Last Updated: Jan 14, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

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

Published on: July 11, 2025

797
TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
09:00

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

5.2K

Area of Science:

  • Medical Informatics
  • Artificial Intelligence
  • Health Systems Engineering

Background:

  • Current AI frameworks in healthcare lack scalability and machine interpretability due to manual documentation.
  • Existing methods fail to provide verifiable AI model identities, hindering reproducibility and trust.
  • There is a critical need for standardized, verifiable documentation for AI in biomedical applications.

Purpose of the Study:

  • To introduce the AI Model Passport, a structured framework for AI model digital identity and verification.
  • To address limitations in transparency, accountability, and reproducibility of AI in health systems.
  • To establish a new standard for trustworthy and regulation-compliant AI in healthcare.

Main Methods:

  • Concept introduction of the AI Model Passport for capturing essential AI model lifecycle metadata.
  • Development and implementation of AIPassport, an MLOps tool for automated metadata collection and versioning.
  • Demonstration using a medical imaging use case (lesion segmentation) within the ProCAncer-I project.

Main Results:

  • The AI Model Passport provides unique identification, verification, and traceability for AI models.
  • AIPassport tool automates metadata collection, versioning, and integrates with development environments.
  • The framework demonstrated enhanced transparency, reproducibility, and regulatory readiness in a medical imaging use case.

Conclusions:

  • The AI Model Passport offers a scalable and verifiable solution for AI documentation in healthcare.
  • This framework promotes trust and accountability in AI-driven healthcare solutions.
  • The AI Model Passport serves as a foundation for transparent and regulation-compliant AI systems across domains.