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Open call from ITU/WHO Focus Group on AI for Health for experts to join a topic group dedicated to developing benchmarking standards and high-quality datasets for AI applications in dermatology.
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
Price: 8 / 10 USD
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2021
Region / city:
USA
Subject:
Tobacco and Cancer Disparities in LGBTQ Population
Document type:
Public Comment
Agency / institution:
Centers for Disease Control and Prevention (CDC)
Author:
National LGBT Cancer Network
Target audience:
Federal agencies, LGBTQ advocacy groups
Period of action:
2021-2024
Approval date:
Not specified
Date of changes:
Not specified
Year:
2022-2024
Region / City:
Sydney, Australia
Field:
Pathology, Healthcare
Document Type:
Job Description
Organization:
RCPA (Royal College of Pathologists of Australasia)
Author:
RCPA
Target Audience:
Potential job candidates
Period of Activity:
2022-2024
Approval Date:
N/A
Date of Changes:
N/A
Year:
2024
Region / city:
Wellington, New Zealand
Theme:
Health workforce development, Pacific health equity
Document type:
Strategic plan
Organization:
Health New Zealand | Te Whatu Ora
Author:
Health New Zealand | Te Whatu Ora
Target audience:
Pacific health professionals, policymakers
Coverage period:
2022-2024
Date of publication:
April 2024
ISBN:
978-1-99-106786-9
License:
Creative Commons Attribution 4.0 International
Year:
2022-2024
Region:
California, USA
Topic:
K–12 Education Performance
Document Type:
Performance Report
Organization:
California Department of Education
Intended Audience:
Parents, educators, educational partners, public
Indicators:
Academic performance, English learner progress, chronic absenteeism, graduation rate, suspension rate, college/career readiness
Local Measures:
Clean and safe buildings, school climate, parent and family engagement, access to a broad course of study
Data Source:
California Longitudinal Pupil Achievement Data System (CALPADS), testing vendors
Minimum Student Threshold:
30 students per group, exceptions for foster and homeless youth at 15 students
Reporting Method:
Status levels (Very High, High, Medium, Low, Very Low) for 2022 Dashboard
Year:
2022-2024
Region / City:
Florida, Washington, DC, Panama City, Tallahassee, Jefferson, Leon
Topic:
Political representation, government contacts
Document Type:
Directory / Official contact list
Institution:
United States Congress
Representative:
Neal Dunn – District 2
Senators:
Marco Rubio, Rick Scott
Party:
Republican
First Elected:
Neal Dunn – Nov. 2016, Marco Rubio – Nov. 2010, Rick Scott – Nov. 2018
Current Term:
Neal Dunn – 2022-2024, Marco Rubio – 2022-2028, Rick Scott – 2018-2024
Contact Information:
Email, Phone, Fax
Offices:
Washington, DC and Tallahassee
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:
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
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