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Informative international standardization deliverable presenting a consensually developed ethical framework and checklist for assessing artificial intelligence applications in dentistry within clinical practice and research.
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)
Price: 8 / 10 USD
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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
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:
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:
2025
Region / City:
Chicago, Illinois
Topic:
Accreditation
Document Type:
Site Visitor Evaluation Report
Institution:
Commission on Dental Accreditation
Author:
Commission on Dental Accreditation
Target Audience:
Accreditation site visitors, dental education institutions
Period of Effectiveness:
August 5, 2022 - ongoing
Approval Date:
August 5, 2022
Date of Changes:
January 1, 2025
Organization:
Academy of General Dentistry
Abbreviation:
AGD
Document type:
Informational notice and standardized evaluation forms
Field:
Dental continuing education
Audience:
AGD constituents and continuing education organizers
Geographic scope:
United States
Related service:
AGD Speaker Database
Contact information:
[email protected]
Note:
; 888.243.3368
Included forms:
AGD Course Evaluation Form; AGD Course Summary Form
Evaluation method:
Standardized attendee scoring and averaged results
Purpose:
Collection and submission of speaker and course evaluation data
Source category:
Professional association documentation
Document type:
Referral form
Service name:
Hull and East Riding Adult Special Care Dentistry Service
Healthcare system:
NHS
Geographic area:
Hull and East Riding of Yorkshire
Intended population:
Adult patients with special care dental needs
Referrer role:
Dental practitioner or healthcare professional
Patient information included:
Demographic details, contact information, consent status
Clinical scope:
Special care dentistry
Medical content:
Comprehensive medical history questionnaire
Referral reasons:
Medical, physical, cognitive, psychological, and social factors
Urgency classification:
Routine or urgent dental need
Associated services:
Community Dental Service
Submission method:
Postal or email referral
Includes consent declarations:
Yes
Includes radiographic requirements:
Yes
Year:
2022
Region / City:
Lewisville, TX
Topic:
Education, Scholarships
Document Type:
Scholarship Application
Organization:
Cups Jars Vessels
Author:
Not specified
Target Audience:
High school seniors planning to attend college or university
Period of Validity:
Applications accepted February 1, 2022 – March 31, 2022
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2025
Region / city:
Chicago, Illinois
Theme:
Dental education accreditation
Document type:
Guide
Organization:
Commission on Dental Accreditation
Author:
Commission on Dental Accreditation
Target audience:
Educational institutions, dental program administrators
Period of validity:
Ongoing, subject to updates
Approval date:
August 5, 2022
Date of changes:
August 9, 2024, January 1, 2025, January 31, 2025, July 1, 2025
Note:
Contextual description
Authors:
Dr. A. Harika; Dr. B. Lakshmana Rao; Dr. B. Padmaja Devi; Dr. E. Swathi Devi
Corresponding Author:
Dr. B. Lakshmana Rao
Email:
[email protected]
Institution:
Lenora Institute of Dental Sciences
Department:
Department of Prosthodontics
Location:
Rajahmundry, A.P., India
Academic Positions:
Final Year P.G. Student; Professor & Head; Second Year P.G. Student
Type of Document:
Narrative Review
Field:
Dentistry
Key Topics:
Internet of Things (IoT); Internet of Dental Things (IoDT); Artificial Intelligence (AI); Smart Dental Technology
Keywords:
Internet of Things (IoT); Dental Use; Artificial Intelligence (AI); Internet of Dental Things (IoDT); Advanced Technology
Note:
Year
Context:
Updated referral criteria for paediatric dentistry services during COVID-19.
Year:
2026
Region / City:
Ontario, Canada
Subject:
Medical Education
Document Type:
Program Information
Organization / Institution:
Schulich School of Medicine & Dentistry
Author:
Western University
Target Audience:
Prospective medical students
Duration:
4 years
Approval Date:
Not specified
Modification Date:
Not specified
Year:
2020
Region / city:
Chicago
Topic:
Antibiotic prescribing in dentistry
Document type:
Guidelines
Organization / institution:
Chicago Department of Public Health
Author:
Amy Hanson, Susan Rowan, Erinne Kennedy
Target audience:
Dentists, healthcare professionals
Period of validity:
Ongoing
Approval date:
January 2020
Year:
2026
Region / City:
Schuylerville, NY
Theme:
Patient Intake, Medical Information
Document Type:
Health Form
Institution / Organization:
Merryman Family Dentistry
Author:
Not specified
Target Audience:
Patients of Merryman Family Dentistry
Validity Period:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Year:
2023
Region / city:
Greater Manchester
Subject:
Dentistry, Restorative Dentistry
Document type:
Referral Guidelines
Organization / institution:
Greater Manchester Local Dental Network
Author:
Not specified
Target audience:
Dental practitioners
Period of validity:
Not specified
Approval date:
Not specified
Modification date:
Not specified
Document Type:
Collection of scientific abstracts
Language:
English
Thematic Areas:
Neurology; Dentistry; Pulmonology; Cardiology; Physiotherapy; Medical Imaging; Clinical Case Reports
Study Designs:
Observational study; case reports; review article; cohort study
Methods Mentioned:
Magnetic resonance imaging; image segmentation; statistical analysis; random forest classification; clinical management protocol; axial tomography; electromyographic recording; invasive coronary physiological assessment
Translator:
Alexander Frometa
Institution:
Grupo de traducciones Dpt. De servicios especiales de información CNICM-IMFOMED
Revision:
01/22/25
Institution:
OU College of Dentistry
Event:
Scientific Day
Document Type:
Application abstract entry guide
Application URL:
https://apps.ouhsc.edu/scientificday
Responsible Office:
Office of the Associate Dean for Research and Innovation
Related Departments:
Research and IT Staff; Informatics
Target Audience:
College of Dentistry faculty, mentors, and program directors
Submission Requirements:
Abstract approval required prior to poster PowerPoint submission
Word Limits:
Poster title maximum 10 words and 250 characters; abstract maximum 300 words
Contact Information:
Informatics (405) 271-3694, option 2; Insight ticket submission (Subject: Scientific Day; Category: Software; Subcategory: Other)
Default Event Reference:
AADOCR Annual Meeting