MEMA
A practical education initiative translating AI tools and concepts into useful workflows for clinicians, researchers and medical learners.
MEDICAL AI · EDUCATION · GOVERNANCE
Clinical judgment.
AI with purpose.
A clinically grounded portfolio of formal learning, education, workflow products and governance work—designed to make AI useful, accountable and safe in real healthcare settings.
AI in radiology
Safer, scalable,
AI-ready imaging.
The goal is to build imaging services that benefit from AI without compromising safety, governance or consultant accountability. Technology supports clinical judgment; it does not replace it.
PositionConsultant-led decisions. AI-augmented capability.
AI projects
From clinical need
to usable product.
Education, workflow and governance projects built around real needs—without overstating what the technology does.
RadStruct
A reporting workbench built around reusable templates, consistent terminology and a clearer path from imaging findings to an actionable report.
Pulse
A dashboard for activity, demand, turnaround and operational signals that support better decisions across a growing diagnostic network.
NKB-AI-GOV
A practical governance package covering approved use, human oversight, data handling, audit trails and incident response.
Credentials & programmes
Documented learning.
Status made clear.
Nine learning records across medical, academic and technology institutions. Every card clearly distinguishes completed credentials from programmes still in progress.
7Completed credentials and courses
2Programmes in progress
9Documented learning records
01Academic & institutional programs
Formal learning focused on clinical implementation, radiology and practical AI use.
+
Academic & institutional programs
Formal learning focused on clinical implementation, radiology and practical AI use.
Programme in progress
AI in Health Care: From Strategies to Implementation
Harvard Medical School · Executive Education
Source dossier reviewed
Module completed · programme in progress
Foundational AI Certificate Program · Module 2: AI Ethics
Radiological Society of North America (RSNA)
View evidence ↗
Completed · source dossier reviewed
AI in Healthcare
The American University in Cairo · Onsi Sawiris School of Business
Source dossier reviewed
Completed
AI Copilot Diploma · 50 hours
Meska AI
View evidence ↗
02Specialization & professional certificates
Multi-course credentials in healthcare AI and applied professional AI workflows.
+
Specialization & professional certificates
Multi-course credentials in healthcare AI and applied professional AI workflows.
03Ethics, governance & international standards
Training in responsible health AI, shared terminology, standards and emerging regulation.
+
Ethics, governance & international standards
Training in responsible health AI, shared terminology, standards and emerging regulation.
Course completed
Ethics and Governance of AI for Health
World Health Organization · Digital Health & Innovation Unit
View evidence ↗
Completed
ISO/IEC 22989:2023 · Fundamentals of AI
British Standards Institution (BSI) via Coursera
View evidence ↗
Completed
Understanding the Foundations of the EU AI Act
British Standards Institution (BSI) via Coursera
View evidence ↗
Programme statuses and dates were reviewed against the supplied credential portfolio. The Harvard enrollment screenshot is not displayed because it contains personal contact information.
Practice boundaries
What this practice does—
and does not claim.
Clear boundaries protect patients and help institutions evaluate AI’s role realistically.
- AI readiness assessment
- Workflow and structured-reporting design
- Human oversight and governance
- Vendor evaluation and education
- Autonomous patient diagnosis
- Replacement of consultant review
- Unapproved processing of identifiable patient data
- Claims of regulatory approval without documentation
Working principles
Responsible AI
from the start.
The value is not using a tool because it is new. It is making a clearer clinical or operational decision while keeping human responsibility intact.
Human oversight
Every consequential medical step remains clinician-reviewed. AI supports judgment; it does not replace it.
Privacy & governance
Responsible adoption needs clear rules for data handling, approved use, audit trails and incident response.
Workflow value
The useful question is where AI improves clarity, consistency, education or operational decisions in real practice.
Important: The work shown here supports education, workflow design and governance. AI does not independently diagnose patients or replace specialist clinical review.
Medical AI project or institutional collaboration
Discuss an AI project↗