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This document presents a standardization framework for the development and benchmarking of AI tools aimed at improving tuberculosis (TB) detection through radiographic methods.
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
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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:
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
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:
2023
Region / City:
Australia
Subject:
Drug-resistant tuberculosis management
Document Type:
Guidelines
Organization / Institution:
National Tuberculosis Advisory Committee
Author:
Richard Stapledon, Ellen Donnan
Target Audience:
Healthcare professionals
Period of Validity:
2023
Approval Date:
19/10/2023
Date of Changes:
Not specified
Year:
2019
Region / City:
Massachusetts
Topic:
Tuberculosis prevention in healthcare settings
Document Type:
Guidelines
Author:
Massachusetts Department of Public Health
Target Audience:
Healthcare personnel, long-term care facility staff
Period of Validity:
Ongoing
Approval Date:
2019
Date of Changes:
2019
Year:
2019
Region / City:
Massachusetts, USA
Topic:
Tuberculosis, Health Care Personnel, Public Health
Document Type:
Advisory
Organization / Institution:
Massachusetts Department of Public Health
Author:
Massachusetts Department of Public Health
Target Audience:
Health Care Personnel, Public Health Officials
Effective Period:
2019-2020
Approval Date:
August 15, 2019
Date of Last Update:
September 3, 2019
Year:
1968
Region / City:
United Kingdom
Topic:
Vaccination, Measles, Immunology
Document Type:
Educational Text
Organization / Institution:
Not specified
Author:
Not specified
Target Audience:
Students, Health professionals
Effective Period:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Note:
Year
Region / City:
Massachusetts
Theme:
Tuberculosis Risk Assessment
Document Type:
User Guide
Organization / Institution:
Massachusetts Department of Public Health
Target Audience:
Healthcare providers, pediatricians
Year:
2021
Region / city:
Australia
Theme:
Tuberculosis control
Document type:
Strategic Plan
Organization / institution:
National Tuberculosis Advisory Committee for the Communicable Diseases Network Australia
Author:
National Tuberculosis Advisory Committee
Target audience:
Healthcare professionals, policymakers, researchers
Period of validity:
2021–2025
Approval date:
2021
Date of amendments:
None
Version:
1
Date:
April 2023
Study name:
TDA4Child study
Full title:
Evaluating the performance, feasibility, acceptability and impact of treatment-decision algorithms for pulmonary tuberculosis in children
Health condition:
Pulmonary tuberculosis in children
Intervention:
Treatment-decision algorithms for childhood tuberculosis
Study type:
Clinical research protocol
Study design:
Multisite evaluation study
Target population:
Children with presumptive pulmonary tuberculosis
Geographical scope:
Country-specific implementation
Guideline basis:
WHO consolidated guidelines on the management of tuberculosis in children and adolescents (2022)
Responsible organization:
World Health Organization
Leading programme:
Special Programme for Research and Training in Tropical Diseases (TDR)
Funding organizations:
WHO Global Tuberculosis Programme; UNOPS; United States Centers for Disease Control and Prevention
Ethical considerations included:
Ethical approval, informed consent, assent
Outcome measures:
Primary and secondary outcomes related to diagnostic and treatment decisions
Data components:
Data collection, management and statistical analysis plan
Period covered:
Study period as defined in the protocol
Year:
2023
Region / City:
Global
Topic:
Tuberculosis, Healthcare, Public Health
Document Type:
Research Review
Organization / Institution:
Not specified
Author:
Not specified
Target Audience:
Healthcare providers, Researchers, Public health professionals
Period of Action:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Date:
September 25, 2025
Time:
9:00am–4:30pm
Location:
Fisher Banquet Room, Mission Bay, University of California, San Francisco
Host:
UCSF Center for Tuberculosis
Event type:
Academic symposium
Topics:
Tuberculosis research, immunology, diagnostics, epidemiology, treatment, prevention
Participants:
Researchers, clinicians, public health professionals
Institutions represented:
University of California, Stanford University, Emory University, Stellenbosch University, Yale University
Program components:
Keynote lecture, invited talks, oral presentations, poster session, panel discussion
Planning Committee status date:
September 23, 2025
Awards:
Poster Awards, 2025 BATS Rising Star Award
Year:
2024
Region / City:
Texas
Theme:
Tuberculosis
Document Type:
Patient Education Form
Organization:
Texas Department of State Health Services (DSHS)
Author:
Not specified
Target Audience:
Healthcare professionals and patients
Period of validity:
Not specified
Approval Date:
Not specified
Date of amendments:
Not specified
Document type:
Informed consent form
Organization:
Infectious Diseases Institute (IDI)
Affiliation:
Makerere University College of Health Sciences
Location:
Mulago Hospital Complex, Kampala, Uganda
Study area:
HIV and tuberculosis
Participant population:
Adults with HIV and TB
Study duration:
6 months
Number of study visits:
7
Ethics approval:
Infectious Diseases Institute Research Ethics Committee (IDI REC)
Sample types:
Blood and sputum
Genetic testing:
Optional with separate consent
Compensation:
Transport reimbursement per study visit in UGX
Participant rights:
Voluntary participation and right to withdraw
Confidentiality:
Use of coded data and restricted access to records
Follow-up:
Clinic-based visits and possible home follow-up
Year:
2020
Region / City:
India
Subject:
Tuberculosis Control
Document Type:
Strategic Plan
Organization:
Ministry of Health and Family Welfare
Author:
Ministry of Health and Family Welfare
Target Audience:
Health professionals, policymakers, stakeholders in tuberculosis control
Period of validity:
2020–2025
Approval Date:
June 2020
Date of Changes:
N/A
Year:
2019
Region / City:
Wellington, New Zealand
Theme:
Tuberculosis Control
Document Type:
Guideline
Organization / Institution:
Ministry of Health
Author:
Dr. Caroline McElnay, Dr. Ayesha Verrall
Target Audience:
Healthcare professionals, public health practitioners
Period of Validity:
Ongoing
Approval Date:
August 2019
Date of Last Revision:
Not specified