Live Online Professional Development Workshop

AI ABC for Doctors

Practical Artificial Intelligence in Clinical Practice, Medical Research, and Radiology

A practical, interactive workshop designed to help doctors and healthcare professionals use AI tools safely, effectively, and critically in clinical, academic, research, and medical-imaging contexts. No programming experience is required.

FormatLive Online

Sessions5 interactive sessions

Duration2 hours each

Total10 training hours

TimeTo be announced

Minimum group20 participants

Flexible Registration

Choose Individual Sessions or the Full Program

Register for selected sessions, or choose all five sessions for the special full-program price. Prices are displayed on the website in USD. Secure checkout charges the equivalent amount in AED.

Individual session USD 56.50 Approximately JOD 40

Full five-session program USD 141.00 Approximately JOD 100 Instead of USD 282.50

Scheduling and enrollment: Final session times will be communicated by email or WhatsApp before delivery. The workshop is subject to a minimum enrollment of 20 participants. If the minimum is not reached, paid participants will be offered a full refund or transfer.

Session Outline

Each session combines focused teaching, live demonstrations, guided practice, and discussion.

AI Fundamentals for Doctors

Date: Saturday, 8 August 2026 | Time: To be announced

AI, machine learning, generative AI, and large language models
Practical healthcare applications, capabilities, and limitations
Hallucinations, bias, privacy, confidentiality, and safe medical use
Why AI should assist—not replace—professional judgment

Prompt Engineering for Clinical Practice

Date: Tuesday, 11 August 2026 | Time: To be announced

Building clear, structured, and reusable medical prompts
Case summaries, patient communication, reports, and referral letters
Asking AI to identify missing information, assumptions, and uncertainty
Verification methods that reduce unsafe or misleading output

AI in Medical Research and Evidence-Based Medicine

Date: Saturday, 15 August 2026 | Time: To be announced

Research questions, literature review, and evidence synthesis
Study summarization, evidence tables, and critical appraisal
Proposal, abstract, manuscript, and scientific-writing support
Fabricated references, plagiarism, publication ethics, and verification

Safe AI Workflows in Healthcare

Date: Tuesday, 18 August 2026 | Time: To be announced

Human-in-the-loop workflow design and accountability
Evaluating accuracy, validation, bias, and clinical usefulness
Safe use in documentation, education, quality improvement, and administration
Practical framework for assessing a medical AI tool before adoption

AI in Radiology and Medical Imaging

Date: Saturday, 22 August 2026 | Time: To be announced

Applications in X-ray, CT, MRI, ultrasound, and mammography
Detection, classification, segmentation, triage, and reporting support
False positives, false negatives, automation bias, and dataset shift
Special emphasis on practical implications for radiologists

Who Should Attend?

Doctors and medical residents
Specialists and consultants
Radiologists and radiology trainees
Medical researchers and academic staff
Healthcare professionals interested in practical AI use

Participants Receive

Digital workshop materials
Medical AI prompt library
Practical templates and safety checklists
Radiology AI evaluation checklist
Certificate reflecting the sessions attended (10 training hours for the full program)

Medical safety note: This is an educational workshop. AI-generated content must be independently verified. AI tools do not replace clinical judgment, validated medical references, institutional policy, or specialist review. Real identifiable patient information must not be entered into public AI tools.

Workshop Flyer

The detailed information above is provided as accessible webpage text. The flyer pages are also available below.

Ready to Register?

Select one or more sessions. The full-program discount is applied automatically when all five AI sessions are selected.