Welcome to the Best Innovation in AI & Digital Health in Infectious Diseases Submission Page

This recognizes outstanding innovation leveraging artificial intelligence, digital health technologies, or data-driven

solutions to improve infectious diseases prevention, diagnosis, treatment, surveillance, or stewardship.

Eligibility

Open to clinicians, researchers, data scientists, pharmacists, microbiologists, public health professionals, and multidisciplinary teams.
Submissions must be original work.
The work may be pilot, implementation-based, or research-focused.
Previously published work is allowed.

Scope of Submissions

Projects may include (but are not limited to):

AI-driven diagnostic tools
Machine learning models for antimicrobial stewardship
Predictive outbreak modeling
Digital surveillance systems
Clinical decision support systems
Tele-ID platforms
Big data analytics in infectious diseases
Digital vaccine tracking or public health monitoring tools

Format

Structured abstract (maximum 350 words):

Background
Objectives
Methods / Technology Description
Results / Outcomes
Impact & Future Applications

Deadline of submissions: 1 OCTOBER 2026

Evaluation Criteria

Submissions will be evaluated based on:

Innovation and originality
Scientific rigor or technical robustness
Clinical or public health impact
Scalability and sustainability
Practical applicability
Alignment with the conference theme

A panel of experts will evaluate all submissions based on the criteria above.

Accepted posters will be presented during the 5th KSA ID Week on 6-8 November 2026.
Top-selected projects will be invited for oral presentations during the Congress.

Winning projects will receive the "Best Innovation in AI & Digital Health Award" to be presented during the closing ceremony.

By proceeding with your submission, you acknowledge that you have read and accepted these terms.

Main Presenter / Author Details

The main presenter or presenting author is the submitter and is responsible for presenting their abstract at the KSA ID Week Conference as part of the scientific program.

Pfx *

First Name *

Last Name *

Designation *

Organization *

Email *

Phone *

Work City *

Work Country *

Important: Review all the details of your abstract before submitting.

Please provide a concise overview of your research, including the background, objectives, methods/technology description, results/outcomes, and impact & future applications. The content must be clear, well-structured, and limited to 350 words, written in English.

Abstract Title *

Type in ALL UPPERCASE LETTERS. Abstract Title can no longer be 100 words.

Abstract Content *

Abstracts must be written in narrative form, text-formatted, and limited to a maximum of 350 words. Please review carefully for typographical errors and misspellings.

Please provide the complete names of the co-authors and their affiliations

(ei. Dr. Mohammed Ahmed - IPC Consultant, MNGHA)

If you have less than 10 co-authors on the project, please input N/A on the tab *