A.I. in IDs Emblem
Meeting category
Date(s)
5 Dec 2024 - 6 Dec 2024
Meeting type
Virtual
Organizer

Artificial Intelligence in Infectious Disease Workshop 2024

General
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A.I. in IDs
What's New
  • The Artificial Intelligence in Infectious Disease Workshop 2024, has been accredited by the European Accreditation Council for Continuing Medical Education (EACCME®)

  • The Artificial Intelligence in Infectious Disease Workshop 2024 will take place virtually from 5-6 December 2024.

  • Registration is open!

  • To stay updated, make sure you sign up for our newsletter

About this Program

The Artificial Intelligence in Infectious Disease Workshop 2024 will be held virtually on 5-6 December 2024.

This international workshop is a novel initiative designed to foster collaboration between healthcare professionals and the artificial intelligence (AI) technology sector. It aims to bridge the gap between cutting-edge AI advancements and practical clinical applications, encouraging clinicians to step into the digital age and embrace AI to propel medicine into the future. By facilitating the exchange of knowledge through abstract and application "pitch" submissions, the workshop provides a unique platform for providers to quickly understand and adapt to the latest developments. This dynamic platform will kick-start a lasting partnership between infectious disease medicine and AI technology, ultimately enhancing patient care and improving clinical outcomes.

The workshop focuses on the effective use of AI in managing infectious diseases. Given the rapid advancements in AI and its profound current and potential impact on healthcare, the workshop is designed to be a space where researchers and medical professionals can discuss and collaborate on translating research findings into clinical practice. Additionally, the event aims to address the associated risks and opportunities of implementing AI in infectious disease management, ensuring a comprehensive understanding of the technology's potential and its challenges. By emphasizing human-machine teaming, the workshop seeks to augment the practice style of clinicians, not replace their clinical decision-making.

This revolutionary workshop aims to accelerate research, improve clinical care, and build lasting collaborations. It will not only advance the integration of AI into infectious disease medicine but also pave the way for future innovations in patient care. By bringing together experts from both the AI and medical fields, the workshop will serve as a catalyst for breakthroughs that can transform the landscape of healthcare, making it more efficient, effective, and responsive to emerging challenges. 
 

General Information 

Who Should Attend?
• Forward-thinking healthcare providers involved in the care of people with infectious diseases
• Academic researchers from the biomedical and AI sectors
• Residents, post-graduates, and PhD students
• Government agency personnel, policymakers, NGO representatives, and health authority personnel
• Social workers, advocates, and community workers
• Emerging and established medical technologists and industry representatives
Meeting Objectives
1. Establishing a forum for researchers and medical professionals to exchange and discuss the latest developments in the field of artificial intelligence in infectious disease
2. Stimulating medical innovations and accelerating research by providing a platform to disseminate the newest advances in the development, scale-up, and implementation of artificial intelligence technology in infectious diseases.
3. Improving infectious disease patient outcomes by connecting all relevant stakeholders in the artificial intelligence technology development and implementation processes.
Learning Objectives
• Gain insights into the newest AI advancements and how they can be applied to the field of infectious disease.
• Learn how AI can augment clinical decision-making processes and enhance the practice style of clinicians without replacing their expertise.
• Explore ways to expedite research through AI, enabling faster identification, diagnosis, and treatment of infectious diseases.
• Foster partnerships between AI technology companies and healthcare providers to drive innovation and improve the integration of AI in clinical settings.
• Discuss methods for effectively translating AI research and developments into practical, real-world applications in infectious disease care.
• Analyze the potential risks and benefits associated with implementing AI in infectious disease management, including ethical considerations and data security.
Practical Information 
Venue
The Venue for the workshop will be confirmed shortly.
Accommodation
Accommodation is not included in the registration fee.
Badges
All participants are requested to wear the badge at all times during the workshop to ensure admission to the workshop.
Language
The official language of the workshop is English.
Translation will not be provided.
Certificate of Attendance
A certificate of attendance will be sent to you after successfully completing the workshop and post-meeting survey.
Disclaimer
This workshop is intended for educational purposes only and aims to offer participants the opportunity to share information. The Organizing Secretariat of this workshop, AME, cannot accept any liability for the scientific content of the sessions or for any claims which may result from the use of information or publications from this meeting. AME disclaims all liability for injuries or losses of whatever nature incurred by individuals attending the workshop.
Liability and Insurance
By registering for the workshop participants agree that the organizers do not accept responsibility for medical-, travel- or personal insurance. Participants are advised to take out their own insurance policies.
Photographs, Audio, and Video Recording
Photographs, audio, and video recordings are not permitted at the official workshop sessions. Only the official medical writer appointed by the organization may make recordings. All presentations will be posted here as soon as possible after the workshop is finished, provided the speaker has given permission to do so.
Code of Conduct
All attendees, speakers, co-organizers, partners, endorsers, suppliers, volunteers, and employees at any of our programs are expected to observe our Code of Conduct. We cannot tolerate any form of discrimination, harassment, disrespect, or the marginalization of those involved in our programs. All participants of VE and AME-organized programs are expected to treat others with dignity and respect at all times.

Any individual who feels discriminated against, harassed, disrespected, or marginalized is encouraged to report the incident(s) to VE and AME via info@amededu.com or to one of our on-site personnel.
Any participant who is found to have exhibited any inappropriate conduct or behavior against others may be removed from the program.
Registration

Registration for Artificial Intelligence in Infectious Disease Workshop 2024 is open!

Fees and Conditions

Regular Delegates 

Regular Delegates

Early Fee (payment on/before 7 April 2024) 

€0,00

Standard Fee (payment on/before 5 October 2024)

€0,00

Late Fee (payment from 21 November 2024) 

€60,00

Industry* Delegates

Industry* 

Early Fee (payment on/before 7 April 2024) 

€595,00

Standard Fee (payment on/before 5 October 2024)

€795,00

Onsite / Same Day Fee (payment from 5 October 2024) 

€895,00

Discounts

Early-career investigators / Regular Delegates from Resource-Limited Settings (RLS)** WITH ACCEPTED ABSTRACT

50% fee waived on the current regular fee

Early-career investigators & Regular delegates from RLS & NGO Representatives/ Government Representatives (i.e. NIH, NIAID, CDC, etc) & Nurses WITHOUT ACCEPTED ABSTRACT

50% fee waived on the current regular fee

Academia from high-income countries WITH ACCEPTED ABSTRACT

Early fee

Representatives of Sponsoring Industry / Endorsing Organizations

Please contact the workshop secretariat

* Industry representatives may receive a discount based on the level of support provided to the event. For more support and registration information, please contact us via yulia.veldhuis@amededu.com.

** Countries included in the low-income and lower middle-income economies of the World Bank Classification.

If you have financial concerns or are eligible for a discount, please contact the workshop secretariat via Yulia.Veldhuis@amededu.com

Important
  • We strongly advise that you register early to ensure your registration.

  • Submission of your online registration does not guarantee that your registration has been accepted. Your registration is final when full prepayment has been received and a confirmation of your registration has been sent.

Registration Fee Includes
- Access to all scientific sessions incl abstract presentations and live discussions;
- Access to all virtual posters;
- Digital workshop pack, including the program and abstracts.

IMPORTANT:
- No day rate is available
- Payment can only be made by credit card.
- AME reserves the right to cancel improper registrations. Claims for a refund will not be honored.
Group Registration
For registration of groups larger than 5 participants, please use the Group Registration Portal.
Early-Career Investigators / Academia from Resource-limited Settings (RLS)
We are pleased to waive 50% registration fee for early-career investigators and academia from low-income and lower-middle-income countries.

To be eligible as an early-career investigator, one should either be a current Master/PhD student or have obtained an MD/PharmD/PhD degree in the last five years. An application form needs to be completed by a supervisor and received by the AME secretariat at least two weeks prior to the start of the workshop. AME will contact the early-career investigator with instructions regarding the registration procedure.
Payment
By credit card only: online or by written authorization (see online registration).
Cancellation Policy
In case of cancellation, the following refunds are applicable:
- Cancellation before/on 5 November 2024: 50% refund (minus an administration fee of €40)
- Cancellation after 5 November 2024: Unfortunately, no refund will be given

If you are unable to attend the workshop, a substitute delegate is always welcome at no extra charge, provided that a letter of authorization from the original participant has been received and the workshop secretariat has been notified of the name of the substitute delegate before 21 November 2024. A statement (email/letter) of cancellation must be sent to AME.
Liability and Insurance
By registering for the workshop, participants agree that the organizers do not accept responsibility for medical, travel, or personal insurance. Participants are advised to take out their own insurance policies.
Media Registration
In order to register as a media participant for the workshop, the workshop secretariat needs to receive:

1. Proof of accreditation
2. Valid identification (e.g. passport)
3. A letter from your assignment giver stating the details of your assignment (e.g. editor)
4. At least 3 previous written assignments in recognized outlets on Infectious Disease. If you are a freelance journalist, the assignments can be from different (recognizable) news outlets. Links to online publications are accepted
5. The website of the publication(s)/blog(s) that will be featuring your story on this workshop

A complimentary or reduced registration fee may apply for accredited media participants depending on availability. Preference will be given to credible print and online news sources. Please contact the workshop secretariat for registration conditions.

We would like to receive a copy of your workshop report/ article once it is finalized.
All credentials will be verified by the Organizing Committee of the Workshop. Media representatives are kindly requested to register by sending the above-mentioned information to info@amededu.com.

Important: Media is restricted to the written press. Recording on film or photo is not allowed. AME will request a copy of the written piece once it is finalized. Media representatives must also agree to abide by the 2024 embargo policy.
Disclaimer
This workshop is intended for educational purposes only and aims to offer participants the opportunity to share information. The organizing secretariat of this workshop, AME, cannot accept any liability for the scientific content of the sessions or for any claims which may result from the use of information or publications from this workshop. AME disclaims all liability for injuries or losses of whatever nature incurred by individuals attending the workshop. In case of cancellation of the meeting due to unforeseen circumstances, AME cannot be held responsible for expenses made for travel, accommodation, visa applications, etc.
Program
Preliminary Program

The program is currently under development and subject to change.

The below times are set in Central European Time (CET). Please, use this tool to convert the timing into your time zone.

Thursday, 5 December 2024
Day 1: AI Innovations in Infectious Disease: From Prevention to Treatment - 16:10
16:10
AI-Based Radiographic Imaging Analysis for Tuberculosis Treatment Outcomes
Achilles Katamba, MBChB, DCH, MSc PhD
Makerere University College of Health Sciences, Walimu, Uganda
16:30
Abstract #1 Finding the missing Tuberculosis cases: Lessons Learnt from using Artificial Intelligence enabled Chest X-ray system for active TB case search in communities in Lagos, Nigeria
Taiwo Osatuyi
KNCV Nigeria, Nigeria
Abstract #2 Two-years assessment in comparing Tuberculosis symptom screening combined with Chest X-ray screening to symptom screening using Artificial Intelligence among general population in Lagos, Nigeria
Taiwo Osatuyi
KNCV Nigeria, Nigeria
Abstract #3 Implementing Facility-based Artificial Intelligence enabled Chest X-ray screening as innovative strategy to improving TB case finding in Lagos, Nigeria
Taiwo Osatuyi
KNCV Nigeria, Nigeria
16:45
Abstract #4 The Use of Qure.ai to Intensify Tuberculosis Case Detection Among Coprisoners. The KNCV Nigeria Experience in Anambra State Nigeria
Kenneth Ebarekor Ekpen
KNCV Tuberculosis Foundation, Nigeria
16:55
Abstract #5 Lesson Learnt from Using Computer-Aided TB Detection in Zanzibar
Rahma Omar
Amref Tanzania, Tanzania
17:05
Discussion
17:20
Evaluation of Artificial Intelligence-Powered Screening for Sexually Transmitted Infections-Related Skin Lesions
Lei Zhang, MSc, MPH, PhD
Monash University, Australia
17:40
Abstract #6 AI-Powered Decision Support for Effective STI PCR Testing: Enhancing Clinical Decision-Making in Infectious Disease Management
Nuntana Chumpa
King Chulalongkorn Memorial Hospital, Thailand
17:50
Discussion
18:05
Short Break
Day 1, Part 2 - 17:20
17:20
Revolutionizing Antibiotic Development with Generative AI
James Zou, PhD
Stanford AI4Health / Stanford University, United States
18:40
Abstract #7 Identification of Koch Bacili Through Machine Learning
Jarvis Raraz-Vidal
Unheval, Peru
18:50
Abstract #8 The Use of AI (Electronic Sputum Dashboard) and Dispatch Riders in Mitigating Delay in Sputum Samples’ Processing—Evidence from an Intervention in Lagos State, Nigeria
Muse Fadeyi
Damien Foundation Belgium, Nigeria
19:00
Discussion
19:15
Using AI to Identify Patients for PrEP
Julia Marcus, PhD, MPH
Harvard Medical School, Harvard Pilgrim Health Care Institute, United States
19:35
Abstract #9 Development and Evaluation of a Pre-Exposure Prophylaxis (PrEP) Eligibility Prediction Tool: Improving Public Health Outcomes through Accurate Risk Identification
Collins Odhiambo
Usaid Fahari Ya Jamii, Kenya
19:45
Abstract #10 Predicting HIV Diagnosis Among Emerging Adults Using Electronic Health Records and Health Survey Data in All of Us Research Program
Balu Bhasuran
Florida State University, United States
19:55
Abstract #11 Development of an AI Chatbot Based Triage Solution to Support ART Adherence for PLWHIV
Yuanchao Ma
RI-MUHC, Canada
20:05
Abstract #12 HIV Case Identification through Machine Learning in Coastal Counties of Kenya
Evelyn Ogola
Usaid Stawisha Pwani, Kenya
20:15
Discussion
20:30
End of Day 1
Friday, 6 December 2024
Day 2: Moving Forward: AI in ID - 16:10
16:10
Considerations of AI Within Infectious Disease Medicine
Westyn Branch-Elliman, MD, MMSc
VA National Artificial Intelligence Institute / Veterans Affairs Boston Healthcare System / Harvard Medical School, United States
16:30
Abstract #13 Implementing AI-Driven Solutions at National Scale for HIV and TB in Higeria: Lessons from Multi-Sectoral Collaboration
Uchenna Ugwoke
Institute Of Human Virology (IHVN), Nigeria
10:40
Abstract #14 Data Science Research to Predict Chronic Hepatitis B Disease Progression and Outcomes: A Pilot Study in the Gambia
Dorcas Asare
African Institute for Mathematical Sciences, South Africa
16:50
Abstract #15 Leveraging AI for Preventive Strategies Against Stigma and Suicidal Ideation in HIV Self-Management
Diego Sebastian Villanueva Guzman
Research Institute Of Mcgill's University Healthcare Center, Canada
17:00
Abstract #16 Use of Machine Learning to Increase HIV Testing Yield Among Adolescents and Young People in Kenya
Daniel Wandina
Gold Star Kenya, Kenya
17:10
Discussion
17:25
Short Break
Day 2, Part 2: Where Are We Going? Future Perspectives of AI in ID - 17:40
17:40
Talking About AI in a Clinic: European Perspective
Jomi Komulainen
Chair of the drafting group on artificial intelligence and healthcase (CDBIO/AI) / Senior Ministerial Adviser, Ministry of Social Affairs and Health, Department for Safety, Security and Health / TUTO, Finland
18:00
Company Perspective on AI Implementation / Rules and Regulations
18:20
Keeping up with New AI Developments
Dino Rech, MD, MBA
Audere CEO, Johannesburg, South Africa and Seattle, WA
18:40
Round Table Discussion
Closing of the Workshop - 19:10
19:10
Closing Words
19:20
End of the Workshop
Abstracts & Innovations

Research Abstract Submission Portal is closed.

Submission for the Innovation Showcase has closed.

Research Abstracts and Innovation Showcases

The Artificial Intelligence in Infectious Disease Workshop 2024 aims to be the catalyst for research dissemination and technology implementation in this rapidly advancing field. To foster conversation and collaborations between our key-opinion leaders, innovators, industry experts, and participants, we will offer the opportunity to present your research or innovation to your peers in a number of ways.

Research abstracts and innovation showcases will be given time within the program via 10-minute presentations, poster sessions, or exhibition spaces.

Research Abstracts

Research abstracts are concise summaries of academic research that present the key points and findings in a clear and succinct manner. These abstracts are typically submitted by researchers, academics, or students who are involved in exploring new theories, methodologies, or data analysis related to artificial intelligence in infectious disease. A research abstract includes an introduction to the problem or hypothesis, a brief description of the methodology used, the main findings or results, and the implications of these findings. The focus is on advancing scientific knowledge, highlighting novel insights, and contributing to the academic discourse within the field. Key identifiers of a research abstract include:

  • Emphasis on original research and data.
  • Structured format: introduction, methods, results, and conclusion.
  • Presentation of empirical evidence or theoretical analysis.
  • Peer-reviewed or intended for academic review.
Categories for Abstract Submission
For purposes of review and programming, abstracts are divided into topical categories. The selection of the most appropriate category is important as it determines who reviews your abstract.

The Program Committee reserves the right to reassign your abstract to a more appropriate category.

- Diagnosis and Early Detection
- Epidemiology and Surveillance
- Treatment and Management
- Drug Discovery and Development
- Prevention and Predictive Analysis
- Public Health and Patient-Centered Services
- Digital Equity

Artificial Intelligence in Infectious Disease Workshop 2024 accepts new original data as well as encored abstracts. All abstracts must focus on Artificial Intelligence in Infectious Diseases and contain up-to-date information at the time of the conference. 
General Guidelines
Abstracts should contain the following four components:

- Background: A concise statement of the issue under investigation or a hypothesis;

- Material and Methods: The experimental methods used (including the statistical analyses employed);

- Results: Specific findings (promises such as "to be completed" or "to be presented" are not acceptable);

- Conclusions: A summary of findings that are supported by your results (statistical analyses used to support the conclusions, where appropriate, should be included; concluding statements such as "the results will be discussed" are not acceptable).

Please note that abstracts cannot be accepted if tables or graphs are included. The maximum word count for the abstract body is 500 words.

Abstracts are considered official communications to the conference and will be treated confidentially. Submitters of accepted abstracts agree to attend the meeting and present their abstract as scheduled. 

We encourage you to use person-first language in your abstract(s). View our guidelines here: https://academicmedicaleducation.com/person-first-language
Abstract Submission Deadline
Authors can submit their abstracts electronically until 4 October 2024 at 23:59 CEST. You will be redirected to the submission website. Please follow the step-by-step directions to upload the abstract. To ensure your abstract retains any special characters or formatting, the abstract must be in Microsoft Word format.
Options for Presentations
- 10-minute oral presentations during the workshop program
- Poster presentations to be displayed in the workshop space and highlighted during poster tours

In order to be eligible for an accepted abstract, you must submit your work through the abstract submission portal (link above).
Poster Presentation Instructions
Note: For hybrid events, poster presenters are expected to attend onsite.
Posters need to meet the following dimensions A0 size (approx. 33" x 47") in portrait format.

Please display the number of your poster in the upper right corner of your poster.
In addition, you are required to make a short recording (max. 3 min) of your presentation with a few slides using PowerPoint. You can record this video directly from PowerPoint.
We will upload your poster and recording on your behalf. Please send them to yulia.veldhuis@amededu.com.
In case the files are too big to be sent via email you can use WeTransfer.
Your poster and the short video will be available on our website after the conference days.

Once onsite:
Poster presenters are requested to stand near their posters during the poster session.
We advise you to prepare hand-outs of your poster on Letter or A4 format.
Please hang your posters as early as possible. All posters must be displayed from the opening session to the closure of the meeting.
Pushpins and/or velcro will be provided.
Innovation Showcases

Innovation showcases highlight practical applications, products, or solutions developed by companies, start-ups, or research labs that utilize artificial intelligence to address challenges in infectious disease.

Unlike research abstracts, showcases are geared towards demonstrating the implementation and real-world impact of AI technologies. These presentations often include demonstrations, case studies, or prototypes that illustrate how the technology works and its benefits. The focus is on innovation, practicality, and market readiness, aiming to attract potential collaborators, investors, or users. Key identifiers of an innovation showcase include:

  • Emphasis on applied technology and solutions.
  • Demonstrations of products or prototypes.
  • Focus on market readiness, user benefits, and practical implementation.
  • Presentations from industry professionals, start-ups, or other stakeholders.
Requirements
1) Those interested in presenting an Innovation Showcase must submit a proposal via email.

2) Submit the proposal by the deadline. There will be running approvals, so please submit any proposal at your earliest convenience to improve your chances of approval.

3) The proposal must be:
- Maximum two pages in length
- In English
- Include:
- Title of presentation/concept
- Innovators involved in the presentation
- Explanation/summary of the innovation and it’s relation to AI in ID
Options for Presentations
- 10-minute innovation showcase presentation during the workshop program
- Exhibition booth within the workshop space
Questions

If you have any further questions, please contact Yulia Veldhuis at Yulia.Veldhuis@amededu.com.

Committees
Organizing Committee

The members of the Organizing Committee are a group of carefully selected experts and inspirational leaders in their respective fields. They meet frequently to discuss the scientific program of the workshop, identify interesting topics and candidate speakers, and review all submitted abstracts.

Advisory Board
Scientific Program Coordinator
Scientific Committee

The members of Scientific Committee are hand-picked by the Organizing Committee (OC) and the conference secretariat based on their significant contributions and commitment to the field. They assist the OC by providing them with suggestions for speakers and topics. In addition, members of the Scientific Committee participate in reviewing submitted abstracts, and play an active role during the workshop as moderators and/or chairs of sessions

Scientific Committee
Liying Wang 2024
Liying Wang, PhD
Florida State University / Center of Population Sciences and Health Equity (C-PSHE), United States
Support
Exhibitor
Support Our Initiative

Financial backing helps us deliver an impactful meeting experience to the benefit of healthcare professionals and researchers interested in Infectious Disease.
 
This collaboration plays a vital role in both the organizational as well as scientific success of the program.

To show your commitment to the cause, and get in touch with us for a tailored
support package, please contact Rikke Puggaard-Rode at rikke.rode@amededu.com


Benefits of Support
By supporting this program, we can offer the following advantages for your company.*
Please contact us for the most recent support level benefits for this program.

  • Non-commercial interviews with company representatives
  • Verbal acknowledgement during the program 
  • Discounted and complimentary registrations for your representatives
  • Company acknowledgement on digital meeting materials including but not limited to newsletters, flyers, the streaming platform, and our website
  • Company acknowledgement on printed meeting materials including but not limited to banners and the program book
  • Digital and printed advertising opportunities 
  • Social media shout-outs
  • Logo on the conference bag 

 
*Subject to the support level.

Endorsers

Artificial Intelligence in Infectious Disease Workshop 2024 is endorsed by societies and organizations. Their support and collaboration are key to the success of this workshop. 

If you would like your organization to endorse Artificial Intelligence in Infectious Disease Workshop 2024, please contact Yulia Veldhuis at Yulia.Veldhuis@amededu.com

Accreditation
Accreditation Statement
CME.png

The Artificial Intelligence in Infectious Disease Workshop 2024, Amsterdam, Netherlands, 05/12/2024 - 06/12/2024, has been accredited by the European Accreditation Council for Continuing Medical Education (EACCME®) with 9.0 European CME credits (ECMEC®s). Each medical specialist should claim only those hours of credit that he/she actually spent in the educational activity.

Through an agreement between the Union Européenne des Médecins Spécialistes and the American Medical Association, physicians may convert EACCME® credits to an equivalent number of AMA PRA Category 1 CreditsTM. Information on the process to convert EACCME® credit to AMA credit can be found at https://edhub.ama-assn.org/pages/applications .

Live educational activities, occurring outside of Canada, recognised by the UEMS-EACCME® for ECMEC®s are deemed to be Accredited Group Learning Activities (Section 1) as defined by the Maintenance of Certification Program of the Royal College of Physicians and Surgeons of Canada.

Language