Dr. Mohammed Al Harbi
VICE PRESIDENT
Canadian board of Anesthesia Regional Anesthesia fellowship
AI-powered insights for better decisions and greater precision.
Clinical analytics, decision support, and safer workflows.
Technology that protects while human expertise leads.
By the end of this activity, the attendees will be able to:
Recognize update in anesthesia practices in relation to Artificial intelligence
applications
Execute anesthesia crises management
Describe value- based anesthesia
Conclude latest update in anesthesia subspecialties practices
Apply different perioperative anesthetics protocols
From AI-powered insights to safety redefined
Better decisions, greater precision, and predictive analytics in anesthesia.
Care tailored to every patient through data, monitoring, and clinical judgment.
Technology that empowers anesthesiologists and operating room teams.
AI supports the clinician, it does not replace the clinician.
Intelligent systems that protect patients and improve outcomes.
On behalf of the organizing committee, I extend our sincere appreciation for your presence
and participation in this important scientific gathering.
This year’s theme, “Anesthesia Practice and Artificial Intelligence – Updates,” highlights the
growing impact of artificial intelligence on healthcare and anesthesia practice. AI offers
valuable opportunities to enhance patient safety, support clinical decision-making, and
improve perioperative care. As anesthesiologists, it is essential that we embrace these
advancements responsibly while preserving the clinical expertise, judgment, and compassion
at the core of our profession.
This conference serves as a platform to share knowledge, discuss recent developments, and
strengthen collaboration among professionals in the field. I extend my sincere thanks to our
speakers, organizers, and sponsors for their contributions, and I wish you all a productive and
enriching conference.
President
Professor & Consultant in anesthesia and critical care medicine
VICE PRESIDENT
Canadian board of Anesthesia Regional Anesthesia fellowship
AI Scientific Focus
The conference can position AI as a clinical transformation layer: monitoring, prediction, decision support, safety, and research.
Predictive Analytics
Early warning signals for high-risk patients and perioperative events.
Smart Monitoring
Decision Support
Research Data
DR. ABDULAZIZ AHMED
DR. MAAN KATTAN
DR. ADEL ALQARNI
DR. Fahad Al Qurashi
DR. ABDULALEEM ATTASI
DR. AHMED ALHARTHI
DR. ALAA BASURA
DR. MALIK ALHAMDI
DR. MOHAMMAD ALJALISI
DR. FATMA ALDAMMAS
DR. SALEH ALKHUNEINDI
Dr. IBRAHIM AL BEESHI
DR. ABDULLAH ALDHUWAIHY
MS. NORIYA SUSULAN
MS. NOUF ALHAJRI
MS. MANAL ALHAMED
MR. MOHAMMED IBRAHIM
MR. SAUD ALQRAINI