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Fundamentals of Artificial Intelligence in Healthcare with Practical Applications


LIVEFace-to-FaceDHPAMA

  • Overview
  • Faculty
  • Schedule
Add to Calendar Fundamentals of Artificial Intelligence in Healthcare with Practical Applications 2/23/2025 8:00:00 AM 2/24/2025 3:00:00 PM Asia/Riyadh For More Details: https://wcmq.cloud-cme.com/course/courseoverview?EID=3604 Description: This course addresses Qatar's healthcare professionals' knowledge gap in AI by offering targeted education and discussions. It enhances knowledge in the areas of patient care and covers ethical considerations, with practical sessions to equip professionals with vital AI skills.Feb 23, 2025 - 8:00 AM - 3:45 PMFeb 24, 2025 - 8:00 AM - 3:00 PM Hilton, West Bay, Diplomatic St. false MM/DD/YYYY


Date & Location
Sunday, February 23, 2025, 8:00 AM - Monday, February 24, 2025, 3:00 PM, Hilton, West Bay, Diplomatic St., Doha, Qatar

Overview

This course addresses Qatar's healthcare professionals' knowledge gap in AI by offering targeted education and discussions. It enhances knowledge in the areas of patient care and covers ethical considerations, with practical sessions to equip professionals with vital AI skills.

Feb 23, 2025 - 8:00 AM - 3:45 PM

Feb 24, 2025 - 8:00 AM - 3:00 PM


Target Audience
Specialties - Allied Health Professionals, Dentists, Educators, Nurses, Pharmacists, Physicians, Researchers, Students

Overall Learning Objective
  1. Recognize the history of AI and basic definition of AI
  2. Outline Fundamental concepts AI, ML and DL
  3. Evaluate the performance of AI algorithms and show an awareness of applications ofAI and machine learning in the healthcare field
  4. Analyze potential challenges and ethical issues associated with building an AI system.
  5. Analyze guided information related to group paper and discuss in a mini journal clubstyle

Registration

Early bird rate until February 2, 2025 - QAR 300 / USD 82

Regular fees starting February 3, 2025 - QAR 400/ USD 110

Changes or Cancellations

1- Name changes or substitutions are not permitted.
2- All cancellation and refund requests must be made in writing and submitted via email to [email protected].
3- For a full refund of the registration fee, the cancellation requests must be received at least 7 days prior to the session. No refund will be offered for cancellation request thereafter.
4- We will attempt to process the refund within 30 days of receiving any cancellation request.
5- Weill Cornell Medicine-Qatar reserves the right to cancel the course. In the event of a cancellation, the fee deposit will be returned, but we will not be responsible for any other expenses, including restricted or non-refundable airfare or hotel deposits.

REGISTRATION WARNING

Registration for courses managed by Weill Cornell Medicine-Qatar (WCM-Q) can only be completed through WCM-Q's official registration portal. Attendee registrations made through any other sites cannot be honored. WCM-Q is not able to refund fees paid through unaffiliated registration sites, such as eMedEvents.com, MedConfWorld.com, EventEgg.com, and 10times.com.

Please report any unauthorized websites or solicitations for registrations to  [email protected].


Accreditation



DHP 


Weill Cornell Medicine-Qatar is accredited as a provider of Continuing Medical Education (CME) and Continuing Professional Development (CPD) by the Ministry of Public Health's Department of Healthcare Professions.

This activity is an Accredited Group Learning Activity (Category 1) as defined by the Ministry of Public Health's Department of Healthcare Professions-Accreditation Section and is approved for a maximum of 11.25 hours.


ACCME

Weill Cornell Medicine-Qatar is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

The Weill Cornell Medicine-Qatar designates this Live Activity for a maximum of 11.25 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.


Disclosure of Relationships/Content Validity


It is the policy of Weill Cornell Medicine-Qatar to adhere to the Department of Healthcare Professions (DHP) and Accreditation Council for Continuing Medical Education (ACCME) Criteria, Policies, and Standards for Commercial Support and content validation in order to ensure fair balance, independence, objectivity, and scientific rigor in all its sponsored programs. All faculty participating in sponsored programs are expected to disclose relevant financial relationships pertaining to their contribution to the activity, and any discussions of off-label or investigational uses of approved commercial products or devices, or of any products or devices not yet approved in the United States and elsewhere. WCM-Q CME/CPD activities are intended to be evidence-based and free of commercial bias. 

Scientific Planning Committee: Mohammed Yawar, BDS, Phyllis Muffuh Navti, DHSci, Mubashir Wani, MD, Rhealyn Mendoza, BSc, Alaa Abd-Alrazaq, PhD

Have no relevant financial/non-financial relationships with any for-profit/not-for-profit organizations to disclose
Will not be discussing unlabeled/unapproved use of drugs or products

Course Directors: Arfan Ahmed, PhD, Alaa Abd-Alrazaq, PhD

Have no relevant financial/non-financial relationships with any for-profit/not-for-profit organizations to disclose
Will not be discussing unlabeled/unapproved use of drugs or products

Course Faculty: Arfan Ahmed, PhD, Alaa Abd-Alrazaq, PhD, Rawan Al Saad, PhD, Sarah Aziz, Faisal Farooq, PhD

Have no relevant financial/non-financial relationships with any for-profit/not-for-profit organizations to disclose
Will not be discussing unlabeled/unapproved use of drugs or products

Administrative Contact: Sarah Aziz

Has no relevant financial/non-financial relationships with any for-profit/not-for-profit organizations to disclose
Will not be discussing unlabeled/unapproved use of drugs or products

The scientific planning committee has reviewed all disclosed financial relationships of speakers, moderators, facilitators and/or authors in advance of this CPD activity and has implemented procedures to manage any potential or real conflicts of interest.



Mitigation of Relevant Financial Relationships


Weill Cornell Medicine-Qatar adheres to the ACCME’s Standards for Integrity and Independence in Accredited Continuing Education. Any individuals in a position to control the content of a CE activity, including faculty, planners, reviewers or others are required to disclose all relevant financial relationships with ineligible entities (commercial interests). All relevant financial relationships have been mitigated prior to the commencement of the activity.

Member Information
Role in activity
Nature of Relationship(s) / Name of Ineligible Company(s)
Faculty Photos
Sarah Aziz, MDA-HM
Research Specialist, AI Center for Precision Health
Weill Cornell Medicine Qatar
Doha, Qatar
Administrative Contact, Faculty
Nothing to disclose
Faculty Photos
Alaa Abd-Alrazaq, PhD
Assistant Professor of Research in Population Health Science
Weill Cornell Medicine-Qatar
Doha, Qatar
Course CoDirector, Faculty
Nothing to disclose
Faculty Photos
Arfan Ahmed, PhD
Assistant Professor of Research in Population Health Sciences
Weill Cornell Medicine-Qatar
Doha, Qatar
Course Director, Faculty
Nothing to disclose
Faculty Photos
Rawan Al Saad, PhD
Postdoctoral Associate
Weill Cornell Medicine-Qatar
Doha, Qatar
Faculty
Nothing to disclose
Faculty Photos
Faisal Farooq, PhD
Senior Director of Artificial Intelligence
Pinterest
Faculty
Rhealyn S Mendoza, BSc ChE
Research Specialist
Weill Cornell Medicine Qatar
Doha, Qatar
Planning Committee Member
Nothing to disclose
Faculty Photos
Phyllis Sui Muffuh Navti, Doctorate in Pharmacy Practice
Assistant Director, Continuing Professional Development
Weill Cornell Medicine-Qatar
Doha, Qatar
Planning Committee Member
Nothing to disclose
Mubashir Wani, MD
Sidra Medicine/ Qatar foundation
Doha, Qatar
Planning Committee Member
Nothing to disclose
Mohammed Naveed Yawar, BDS
General Dentist
Al Razi Medical Center
Doha, Qatar
Planning Committee Member
Nothing to disclose

Sunday, February 23, 2025
Registration and Breakfast
8:00AM - 8:30AM
Intro to AI and medicine
8:30AM - 9:10AM
Arfan Ahmed, PhD (Faculty)
Machine Learning
9:10AM - 11:00AM
Sarah Aziz, MDA-HM (Faculty)
Rawan Al Saad, PhD (Faculty)
Break
11:00AM - 11:30AM
Machine Learning continued
11:30AM - 12:30PM
Sarah Aziz, MDA-HM (Faculty)
Rawan Al Saad, PhD (Faculty)
Break
12:30PM - 1:15PM
Challenges and ethical considerations
1:15PM - 2:00PM
Alaa Abd-Alrazaq, PhD (Faculty)
Group activity and discussion
2:00PM - 3:10PM
Arfan Ahmed, PhD (Faculty)
Sarah Aziz, MDA-HM (Faculty)
Alaa Abd-Alrazaq, PhD (Faculty)
Rawan Al Saad, PhD (Faculty)
Wrap up and discussion
3:10PM - 3:45PM
Arfan Ahmed, PhD (Faculty)
Monday, February 24, 2025
Breakfast
8:00AM - 8:30AM
Understanding Large Language Models (LLM’s)
8:30AM - 9:10AM
Rawan Al Saad, PhD (Faculty)
Faisal Farooq, PhD (Faculty)
The importance of study Design
9:10AM - 10:00AM
Faisal Farooq, PhD (Faculty)
Break
10:00AM - 10:30AM
Application of Machine Learning to real world data & Usage of Large Language Models in real world examples
10:30AM - 12:00PM
Arfan Ahmed, PhD (Faculty)
Sarah Aziz, MDA-HM (Faculty)
Alaa Abd-Alrazaq, PhD (Faculty)
Rawan Al Saad, PhD (Faculty)
Faisal Farooq, PhD (Faculty)
Break
12:00PM - 12:45PM
Application of Machine Learning to real world data & Usage of Large Language Models in real world examples
12:45PM - 2:15PM
Arfan Ahmed, PhD (Faculty)
Sarah Aziz, MDA-HM (Faculty)
Alaa Abd-Alrazaq, PhD (Faculty)
Rawan Al Saad, PhD (Faculty)
Faisal Farooq, PhD (Faculty)
Wrap up and discussion
2:15PM - 3:00PM
Arfan Ahmed, PhD (Faculty)

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