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JHAH Annual Research Symposium 2024

JHAH's annual research symposium is where professionals, academics, and researchers meet to discuss their work in the field and how they can support each other to advance it.

Theme

This year's symposium theme is "Artificial Intelligence in Healthcare"

At the third Annual Research Symposium, we aim to enhance knowledge about AI utilization in healthcare and foster robust collaborations with AI professionals, hoping that professionals and experts will collaborate and develop practical solutions to improve care quality.

This year's theme highlights the transformative role of AI in healthcare, focusing on:

  • Enhancing patient care
  • Improving diagnostic accuracy
  • Optimizing treatment outcomes
  • Streamlining healthcare processes

Registration handled by a third party.

About the Symposium

The key topics of the symposium include:

  1. Practical Digital Health Innovation Ecosystem: Experience-Driven Insight: Insights into building a digital health ecosystem using practical experiences.

  2. Next-Gen Healthcare: Leading Research and Innovations in Digital Health: Focus on the latest research and innovations in digital health and AI applications.

  3. Diagnostic Errors in Medicine: The Application of AI and Data Science: How AI and data science can reduce diagnostic errors and improve diagnostic quality.

  4. Using AI in Research and Scientific Writing: Balancing Innovation and Integrity: Exploring the use of AI in research methodologies and maintaining integrity in scientific writing.

  5. PRSision as a Tool for Genetics Prediction: AI tools for predictive genetics and their applications in healthcare.

  6. iSMART: An Intelligent System for Mental Wellness and Adaptive Rehabilitation Using AI: AI-driven systems for mental health and rehabilitation.

  7. Applied Artificial Intelligence in Digital Dentistry: Applications of AI in digital dentistry and its impact on clinical practices.

  8. Governance and Ownership in the Era of Big Health Data: Addressing the governance, ethical considerations, and data ownership challenges in AI.

  9. Enabling AI in Speech and Language Pathology and Rehabilitation Healthcare: AI applications in speech and language pathology, focusing on rehabilitation.

The symposium is designed for healthcare professionals, researchers, data scientists, and industry leaders interested in the intersection of technology and medicine. Whether you are a clinician seeking to understand AI’s role in diagnostics, a researcher aiming to incorporate AI into your studies, or an industry leader exploring digital health innovations, this event offers valuable insights for all.

Participants will gain:

  • Insight into AI Innovations: Learn about the latest advancements in AI applications within healthcare, from predictive modeling to personalized medicine.
  • Practical Knowledge: Understand how to leverage AI tools in your professional practice to enhance patient outcomes and streamline healthcare operations.
  • Networking Opportunities: Connect with AI professionals, researchers, and healthcare leaders to foster collaboration and innovation.
  • Ethical and Governance Perspectives: Delve into the ethical implications of AI in healthcare, including data governance and ownership challenges in the era of big health data.

The event will feature poster presentations that showcase groundbreaking research and innovative projects at the intersection of AI and healthcare. These presentations provide a platform for researchers, clinicians, and students to share their work, offering insights into new AI applications, data-driven healthcare solutions, and emerging technologies that address current challenges in the medical field. Attendees will have the chance to engage directly with presenters, ask questions, and explore collaborative opportunities during dedicated networking sessions. The poster presentations are a valuable component of the symposium, highlighting diverse perspectives and cutting-edge developments in AI-driven healthcare.

The congress is accredited for SCFHS (8 CPD hours).

Saudi Commission for Health Specialties Logo 



7-8 a.m. 

Registration


8 – 8:15

Welcome Comments

Dr. Salwa Sheikh 
Head of Research, Johns Hopkins Aramco Healthcare


8:15 – 8:30

Agenda Overview

Dr. Hayat Mushcab
Lead, Research Office, Johns Hopkins Aramco Healthcare


8:30 – 9

A Practical Digital Health Innovation Ecosystem: Experience-Driven Insight

Dr. Ahmad AbuSalah
Professor & Healthcare Informatics and Intelligence Officer, King Faisal Specialist Hospital and Research Centre


9 – 9:30

Research and Innovation in Digital Health: Next-Gen Healthcare: Leading Research and Innovations in Digital Health

Dr. Tamara Sunbul
Manager, Health Informatics, Johns Hopkins Aramco Healthcare


9:30 – 10

Break

10 – 10:30

Diagnostic Errors in Medicine: The Application of AI and Data Science in Reducing Diagnostic Errors

Dr. Ahmed Hassoon
Assistant Research Professor, Johns Hopkins Bloomberg School of Public Health


10:30 – 11

Using AI in Research and Scientific Writing: Balancing Innovation and Integrity

Dr. Ahmed BaHammam
Pulmonary and Sleep Medicine Professor, King Saud University


11 – 11:30

From Predictions to Prevention Presenting; PRSision as Tool for Genetics Prediction

Dr. Mariam AlEissa
CEO, Generation Health
Adjunct Associate Professor at the College of Medicine, Alfaisal University
Adjunct Researcher in the Computational Sciences Department, Centre for Genomic Medicine (CGM), King Faisal Specialist Hospital & Research Center


11:30 – 1 p.m.

Lunch

1 – 1:30

iSMART: An Intelligent System for Mental Wellness and Adaptive Rehabilitation Using Artificial Intelligence

Dr. Abdulaziz Al Humam
Associate Professor in the Computer Science Department, College of Computer Sciences and Information Technology (CCSIT), King Faisal University


1:30 – 2

Applied Artificial Intelligence in Digital Dentistry

Dr. Ammar Alsheghri
Assistant Professor of Mechanical Engineering, King Fahd University of Petroleum and Minerals


2 – 2:30

Governance and Ownership in the Era of Big Health Data

Dr. Ahmed BaHammam
Pulmonary and Sleep Medicine Professor, King Saud University


2:30 – 3

Break

3 – 3:30

Enabling AI in Speech and Language Pathology and Rehabilitation Healthcare

Dr. Tariq Khwaileh
Associate Professor, Qatar University


3:30 – 4:30

Speaker Recognition, Poster Competition Winners & Closing Comments

Symposium Agenda

7-8 a.m. 

Registration


8 – 8:15

Welcome Comments

Dr. Salwa Sheikh 
Head of Research, Johns Hopkins Aramco Healthcare


8:15 – 8:30

Agenda Overview

Dr. Hayat Mushcab
Lead, Research Office, Johns Hopkins Aramco Healthcare


8:30 – 9

A Practical Digital Health Innovation Ecosystem: Experience-Driven Insight

Dr. Ahmad AbuSalah
Professor & Healthcare Informatics and Intelligence Officer, King Faisal Specialist Hospital and Research Centre


9 – 9:30

Research and Innovation in Digital Health: Next-Gen Healthcare: Leading Research and Innovations in Digital Health

Dr. Tamara Sunbul
Manager, Health Informatics, Johns Hopkins Aramco Healthcare


9:30 – 10

Break

10 – 10:30

Diagnostic Errors in Medicine: The Application of AI and Data Science in Reducing Diagnostic Errors

Dr. Ahmed Hassoon
Assistant Research Professor, Johns Hopkins Bloomberg School of Public Health


10:30 – 11

Using AI in Research and Scientific Writing: Balancing Innovation and Integrity

Dr. Ahmed BaHammam
Pulmonary and Sleep Medicine Professor, King Saud University


11 – 11:30

From Predictions to Prevention Presenting; PRSision as Tool for Genetics Prediction

Dr. Mariam AlEissa
CEO, Generation Health
Adjunct Associate Professor at the College of Medicine, Alfaisal University
Adjunct Researcher in the Computational Sciences Department, Centre for Genomic Medicine (CGM), King Faisal Specialist Hospital & Research Center


11:30 – 1 p.m.

Lunch

1 – 1:30

iSMART: An Intelligent System for Mental Wellness and Adaptive Rehabilitation Using Artificial Intelligence

Dr. Abdulaziz Al Humam
Associate Professor in the Computer Science Department, College of Computer Sciences and Information Technology (CCSIT), King Faisal University


1:30 – 2

Applied Artificial Intelligence in Digital Dentistry

Dr. Ammar Alsheghri
Assistant Professor of Mechanical Engineering, King Fahd University of Petroleum and Minerals


2 – 2:30

Governance and Ownership in the Era of Big Health Data

Dr. Ahmed BaHammam
Pulmonary and Sleep Medicine Professor, King Saud University


2:30 – 3

Break

3 – 3:30

Enabling AI in Speech and Language Pathology and Rehabilitation Healthcare

Dr. Tariq Khwaileh
Associate Professor, Qatar University


3:30 – 4:30

Speaker Recognition, Poster Competition Winners & Closing Comments

Symposium Speakers

Dr. Salwa Sheikh

Dr. Salwa Sheikh

Head of Research
Johns Hopkins Aramco Healthcare

Dr. Hayat Mushcab

Dr. Hayat Mushcab

Lead, Research Office
Johns Hopkins Aramco Healthcare

Dr. Ahmad AbuSalah

Dr. Ahmad AbuSalah

Professor & Healthcare Informatics and Intelligence Officer
King Faisal Specialist Hospital and Research Centre

Dr. Tamara Sunbul

Dr. Tamara Sunbul

Manager, Health Informatics
Johns Hopkins Aramco Healthcare

Dr. Ahmed Hassoon

Dr. Ahmed Hassoon

Assistant Research Professor
Johns Hopkins Bloomberg School of Public Health

Dr. Ahmed BaHammam

Dr. Ahmed BaHammam

Pulmonary and Sleep Medicine Professor
King Saud University

Dr. Mariam AlEissa

Dr. Mariam AlEissa

CEO
Generation Health

Dr. Abdulaziz Al Humam

Dr. Abdulaziz Al Humam

Associate Professor in the Computer Science Department, College of Computer Sciences and Information Technology (CCSIT)
King Faisal University

Dr. Ammar Alsheghri

Dr. Ammar Alsheghri

Assistant Professor of Mechanical Engineering
King Fahd University of Petroleum and Minerals

Dr. Tariq Khwaileh

Dr. Tariq Khwaileh

Associate Professor
Qatar University

Master of Ceremonies

Mr. Laurence Smith

Mr. Laurence Smith

Managing Director
Greybeard Healthcare