Listen in context
Arabic speech recognition shaped around clinical conversations and regional dialects.
SCIENCE & INNOVATION FROM OMAN
Where Medicine
Meets Intelligence.
Clinical insight. Scientific curiosity. Technology with purpose. From Oman, we explore new ways to learn, understand clinical language, and work with evidence.
SCIENCE & INNOVATION FROM OMAN
Where Medicine
Meets Intelligence.
Clinical insight. Scientific curiosity. Technology with purpose. From Oman, we explore new ways to learn, understand clinical language, and work with evidence.
ONE CONNECTED ECOSYSTEM
Different questions.
Shared purpose.
Seven initiatives across learning, clinical practice, research, and open data.
Bayan
Medical education & exam preparation
Medad مداد
Arabic clinical AI · R&D
PreOp
Perioperative medicine toolkit
JournalReady
From research idea to submission
SmartRota
Residency rotation planning
OHealth
Health data for better questions
OLearn
Education data in context
Collaborate
Research & academic partnerships
OUR SOLUTIONS & INITIATIVES
From a meaningful question
to a practical application.
A connected body of work across medical education, clinical practice, research methods, and open data. Each initiative explores a different challenge.
Showing 6 solutions
Explore each initiative for its scope and current work. Medad’s Arabic clinical AI research is introduced below.
01
LearningMedical education & exam preparation
02
ResearchArabic clinical AI · Study design & publication
03
Clinical practicePerioperative toolkit · Rotation planning
04
IntelligenceHealth & education data in context
LEARNING · 01Bayan
Medical education & exam preparation
How do we turn knowledge into clinical reasoning?
A learning space for students, doctors, nurses, and pharmacists. Build clinical reasoning with question practice, explanations, and focused revision.
- Adaptive question sessions
- Board & licensing exam preparation
- Flashcards, OSCE & virtual patients
RESEARCH SPOTLIGHT · 02ACTIVE R&DMedad مداد
Arabic clinical AI · R&D
Clinical conversations. In the language of care.
Arabic clinical conversations deserve tools built around their language and context. Medad explores how speech recognition and AI can support structured clinical documentation, with clinicians reviewing the output.
- Listen in context
- Structure the information
- Keep clinicians in the loop
THE WORKFLOW UNDER DEVELOPMENT
Structure the information
Explore the generation of organized clinical notes from transcribed encounters.
Keep clinicians in the loop
Support review and correction before documentation is relied on.
Research and evaluation are ongoing. Deployment and data-handling requirements are discussed for each collaboration.
CLINICAL PRACTICE · 03PreOp
Perioperative medicine toolkit
How can evidence be easier to use before surgery?
Bring risk assessment, medication references, and perioperative planning into one practical workflow for healthcare professionals.
- Clinical risk calculators
- Medication & investigation references
- Assessment and handoff tools
RESEARCH · 04JournalReady
From research idea to submission
How can researchers work more clearly with evidence?
Support the work around your research: study planning, statistical interpretation, manuscript preparation, and journal selection.
- Study design & analysis tools
- Manuscript and reference support
- Journal selection & submission
CLINICAL PRACTICE · 05SmartRota
Residency rotation planning
How can rotation planning reflect training needs?
Organize rotations around training requirements, hospital sites, and scheduling constraints.
- Rotation planning
- Training requirements
- Multiple hospital sites
INTELLIGENCE · 06OHealth
Health data for better questions
What can open data reveal about health systems?
Explore health-system data, capacity, and trends to support analysis and planning in Oman.
- Health-system indicators
- Capacity & trend exploration
- National open data
INTELLIGENCE · 07OLearn
Education data in context
How can education data inform better questions?
Explore education trends, geographic patterns, and workforce indicators to inform planning and research.
- Education trends
- Geographic insights
- Workforce indicators
OUR SCIENTIFIC APPROACH
Questions first.
Evidence throughout.
Our guiding principles connect domain knowledge with careful evaluation. We distinguish an idea, a working application, and evidence of benefit.
Ask a meaningful question
Start with a clinical, educational, or research challenge. Understand the context before deciding where technology can contribute.
Examine the evidence
Consider sources, methods, and limitations. Bayan’s publication workflow includes review, citation checks, and revision; AI support does not replace professional judgment.
Learn through collaboration
Bring clinical and technical perspectives together. Our Omani roots shape our interest in regional learning needs and Arabic clinical language.
OUR STORY
Rooted in Oman.
Built around people.
Bayan AI Technologies is a healthcare technology company based in Muscat. We bring clinical experience, research, and software development together to address the everyday work of healthcare and education.
Founded by physician and researcher Dr. Abdullah Al Alawi, our work connects a simple ambition with practical tools: help people learn, work, and create knowledge with greater clarity.
Local knowledge. Shared discovery.
We welcome universities, healthcare institutions, and research groups interested in scientific exchange and collaborative evaluation.
SUPPORTING OUR JOURNEY
Growing within Oman’s
innovation community.
Bayan AI Technologies is supported by Oman’s Small and Medium Enterprises Development Authority and has received investment from Future Fund Oman.
Small and Medium Enterprises Development Authority
هيئة تنمية المؤسسات الصغيرة والمتوسطة
Future Fund Oman
صندوق عُمان المستقبل
Part of the Oman Investment Authority.
What is the difference between Bayan AI and Bayan?
Bayan AI Technologies brings clinical knowledge, research, and software development together. Bayan, at bayan.edu.om, is our medical education solution. Our wider work explores clinical language, perioperative practice, research methods, scheduling, and open data.
What scientific questions connect the solutions?
Our work explores how people develop clinical reasoning, how Arabic clinical conversations can become structured documentation, and how evidence and data can support research and planning. Each solution addresses a different part of that work.
Is Medad available for routine clinical deployment?
Medad is an active research and development project for Arabic clinical documentation. Research progress and readiness for routine clinical use are different milestones. We welcome discussion of evaluation methods, clinical language, and research collaboration.
How can a university or hospital work with Bayan AI?
Start with a research question or a clinical or educational challenge. We welcome discussions about collaborative evaluation, study design, regional language needs, and the responsible application of technology in healthcare.
How should I interpret the research and solution descriptions?
The descriptions explain areas of work and intended uses; they do not establish clinical efficacy. Research findings should be considered alongside their methods, evaluation setting, and limitations. Visit the relevant project for more detail, or contact us about a specific scientific question.
RESEARCH & COLLABORATION
Better questions.
Shared discovery.
Connect with us around a research question, a method, or an idea.