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This document provides updated guidelines for joining the ITU/WHO Focus Group on AI for Health (FG-AI4H), including new groups, figures, and an introduction to key initiatives.
Year:
2021
Region / City:
Geneva
Topic:
Artificial Intelligence for Health
Document Type:
Onboarding Document
Organization:
ITU, WHO
Author:
Markus Wenzel, Eva Weicken, Matthias Gröschel
Target Audience:
Individuals and organizations interested in joining FG-AI4H
Effective Period:
2021
Approval Date:
15 October 2021
Modification Date:
N/A
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Year:
2023
Organization:
International Telecommunication Union (ITU)
Focus Group:
FG-AI4H – Artificial Intelligence for Health
Topic Group:
TG-MCH – Maternal and Child Health
Type of Document:
Topic Description Document (TDD) / Deliverable DEL10.7
Editors:
Alexandre Chiavegatto Filho, Gabriel Silva, Raghu Dharmaraju
Affiliation:
University of São Paulo, Brazil; Wadhwani AI, India
License:
Creative Commons Attribution-Non Commercial-Share Alike 3.0 IGO (CC BY-NC-SA 3.0 IGO)
Approval Date:
15 September 2023
Scope:
Standardized benchmarking for AI applications in maternal and child health
Keywords:
artificial intelligence, maternal health, child health, benchmarking, data quality, ethics, clinical relevance, regulations
Year:
2023
Region / city:
Cambridge
Topic:
Artificial Intelligence for Health
Document type:
Meeting agenda and documentation
Organization:
ITU-T Focus Group on AI for Health
Author:
FG-AI4H Chairman
Target audience:
ITU-T members, health and AI professionals
Period of validity:
March 21-24, 2023
Approval date:
March 2023
Date of amendments:
None
Year:
2022
Region / city:
Geneva
Topic:
Digital health, COVID-19 certificates
Document Type:
Liaison Statement
Organization / Institution:
International Telecommunication Union (ITU), Focus Group on AI for Health (FG-AI4H)
Author:
FG-AI4H
Target audience:
JCA-DCC, TSAG
Approval Date:
22 March 2022
Deadline:
N/A
Contact:
Thomas Wiegand, Chair, FG-AI4H, Fraunhofer HHI, Germany
Note:
Contact
Ana Rivière Cinnamond, PAHO/WHO
Abstract:
FG-AI4H nominates two representatives to JCA-DCC and informs on its ad-hoc group on digital technologies for COVID health emergency (AHG-DT4HE).
Year:
2023
Region / City:
India
Theme:
Artificial Intelligence in Tuberculosis Detection
Document Type:
ITU-T Focus Group Deliverable
Organization:
International Telecommunication Union (ITU)
Authors:
Dr. Manjula Singh, ICMR, Dr. Saurabh Gupta, AIIMS
Target Audience:
Public health professionals, AI researchers, medical practitioners
Effective Period:
2023-2025
Approval Date:
15 September 2023
Modification Date:
Not applicable
Year:
2023
Month of approval:
September 2023
Document type:
Informative publication; Focus Group Deliverable
Sector:
Standardization Sector (ITU-T)
Organization:
International Telecommunication Union
Issuing body:
ITU-T Focus Group on Artificial Intelligence for Health (FG-AI4H)
Topic Group:
Dental Diagnostics and Digital Dentistry
Output designation:
TG-Dental Output 3
Version:
1
Approval date:
20 September 2023
Editor:
Rata Rokhshad
Contributors:
Maxime Ducret; Akhilanand Chaurasia; Teodora Karteva; Miroslav Radenkovic; Jelena Roganovic; Manal Hamdan; Hossein Mohammad-Rahimi; Joachim Krois; Pierre Lahoud; Falk Schwendicke
Subject area:
Artificial intelligence in dentistry; bioethics; digital health
Keywords:
Artificial intelligence; bioethics; checklist; deep learning; dental research; dentistry; guidelines; machine learning; teeth
Purpose:
Development of a framework and checklist to evaluate ethical aspects of AI applications in dentistry
Scope:
Ethical principles for development, implementation and use of AI applications in dental practice and research
Identified principles:
Diversity; transparency; wellness; privacy protection; solidarity; equity; prudence; law and governance; sustainable development; accountability and responsibility; respect of autonomy; decision-making
Licence:
Creative Commons Attribution-Non Commercial-Share Alike 3.0 IGO (CC BY-NC-SA 3.0 IGO)
Year:
2023
Month of approval:
March
Approval date:
24 March 2023
Place of meeting:
Cambridge, Massachusetts, USA
Document code:
FG-AI4H DEL7.4
Version:
1
Series:
ITU-T Focus Group Deliverable
Organization:
International Telecommunication Union (ITU)
Focus Group:
ITU-T Focus Group on Artificial Intelligence for Health (FG-AI4H)
Working Group:
Working Group on Clinical Evaluation (WG-CE)
Collaborating organization:
World Health Organization (WHO)
Type of document:
Informative technical report
Subject:
Clinical evaluation of artificial intelligence systems in health
Keywords:
Artificial intelligence, bias, clinical evaluation, clinical validation, digital health, economic evaluation, generalisability, reporting
Scope:
Framework for evaluation of AI systems in healthcare
Intended audience:
Clinicians, researchers, developers, regulators, health systems, policymakers
Phases described:
Model purpose and suitability, algorithmic validation, clinical validation, deployment and ongoing monitoring
Publication status:
Informative ITU-T publication
Annex:
Annex A checklist summarizing key findings
Editorial team:
WG-CE co-chairs and writing group members
Contributors:
Members of the FG-AI4H Working Group on Clinical Evaluation and external experts
Year:
2022-2024
Organization:
International Telecommunication Union (ITU) / World Health Organization (WHO)
Working Group:
FG-AI4H – Artificial Intelligence for Health
Document Type:
Call for Participation / Topic Group Document
Topic:
Artificial Intelligence applications in Dermatology
Location:
Helsinki, Finland
Meeting Dates:
20-22 September 2022
Contact Person:
Harsha Jayakody
Contact Email:
[email protected]
Scope:
Establishing standardized benchmarking for AI in dermatology
Target Audience:
Health and IT professionals, AI researchers, clinicians, policy-makers, data providers
References:
De et al., 2020; WHO; Emam et al., 2020; Storm, 2022
Source:
TG-Derma Topic Driver
Year:
N/A
Region / City:
N/A
Topic:
Onboarding Process
Document Type:
Checklist
Organization / Institution:
N/A
Author:
N/A
Target Audience:
New employees, Human Resources
Period of Validity:
N/A
Approval Date:
N/A
Date of Changes:
N/A
Year:
2023-2024
Region / City:
CU Anschutz
Topic:
MedHub Onboarding
Document Type:
FAQ
Organization / Institution:
CU Anschutz GME
Author:
Alexandria Rauf
Target Audience:
Program Coordinators, Incoming Trainees
Period of Validity:
2023-2024
Approval Date:
N/A
Modification Date:
N/A
Year:
2023
Institution:
University of Colorado, Anschutz Medical Campus
Department:
Division of Rheumatology
Document Type:
Onboarding Letter
Authors:
Rachael Fuhrman, Jason R. Kolfenbach, M.D.
Target Audience:
Incoming Rheumatology Fellows
Associated Locations:
VA Medical Center, Denver Health, UCHealth
Due Dates:
Various (April 5th, April 12th, May 1st, June 11th, July 31st)
Related Systems:
OneDrive, Docusign, MedHub
Training Requirements:
VHA Mandatory Training, local policy acknowledgements, orientation handbooks
Context:
Official onboarding correspondence outlining required actions, deadlines, and document submissions for new rheumatology fellows at a university-affiliated medical program.
Note:
Year
Year:
2023
Region / City:
Not specified
Topic:
Digital platform onboarding, customization, technical setup
Document Type:
Instructional guide
Organization / Institution:
Amex GBT
Author:
Not specified
Target Audience:
Companies using GBT Account and GBT Mobile App
Effective Period:
Not specified
Approval Date:
Not specified
Date of Changes:
January 18, 2023
Note:
Year
Region / City:
London
Subject:
Supplier onboarding
Document type:
Guideline
Institution:
London School of Economics & Political Science
Target audience:
LSE suppliers
Year:
2026
Region / City:
Wisconsin
Topic:
Elder Benefit Specialist Program
Document Type:
Checklist
Agency / Institution:
Wisconsin Department of Health Services
Author:
Unknown
Target Audience:
New Elder Benefit Specialists
Effective Period:
First year of employment
Approval Date:
Unknown
Date of Changes:
Unknown
Document type:
Onboarding checklist
Subject area:
Corporate travel management
Products covered:
GBT Account; Amex GBT Mobile app
Organization:
American Express Global Business Travel
Intended users:
Corporate clients and implementation teams
Purpose:
Configuration of co-branding, communications, and modules
Version history:
Versions 1.0–4.1
Initial publication date:
June 13, 2022
Latest update:
November 28, 2023
Content includes:
Branding specifications; contact roles; targeted communications; travel alerts; mobile app modules; outage notifications
Year:
2024
Region / City:
Fort Eustis, Virginia
Topic:
Army Civilian Professional Onboarding
Document Type:
Circular
Organization / Institution:
U.S. Army Training and Doctrine Command
Author:
Deputy Chief of Staff, G-1/4/9
Target Audience:
Military and Army Civilian Professionals within the U.S. Army Training and Doctrine Command
Period of Validity:
24 September 2024 - 24 September 2026
Approval Date:
24 September 2024
Modification Date:
N/A
Year:
2026
Organization:
Florida State University
Document Type:
Software Implementation Guide
Audience:
Procurement and Financial Departments
Project Team:
Rosey Murton (CPO), Judd Enfinger (Controller), Kimberly McMurray, Betsy Miller, Maydee Ehster, Kiara Sullivan, Tonya Price, Johnny Trevino, Carla Daniels, Ben Bennett, Ellen Rider, Michael V. Williams, Ben Hancock, Arnold Brown, Geneva Miller
Platform:
PaymentWorks
Integration:
PeopleSoft Financials, ERP Systems
Processes Covered:
Supplier onboarding, vendor verification, ACH payments, EFT transfers, compliance management, payment approval workflows
Key Dates:
October 13–17, 2026 (initial implementation period)
Reference Documents:
PaymentWorks Teams SharePoint folder, Appendix A for excluded suppliers
Year:
2014
Region / City:
Global
Topic:
Hiring, Onboarding, Process Improvement
Document Type:
Proposal
Organization:
Baker Hughes Incorporated (BHI)
Author:
Amanda R. Johnson
Target Audience:
HR professionals, organizational leadership
Period of Effect:
2014 and ongoing
Approval Date:
November 17, 2014
Modification Date:
N/A
Year:
2023
Region / City:
United States
Topic:
Employee Onboarding
Document Type:
Handbook
Organization:
USDA
Author:
Not specified
Target Audience:
USDA employees
Effective Date:
Not specified
Date of Approval:
Not specified
Date of Changes:
Not specified