About Course

Course Content

Phase I
Objective: Provide foundational knowledge on AI, NLP models, and their applications in healthcare.

Introduction to the course

16:27
Session 1: Overview of different AI tools in Healthcare

39:35
Assignment
Session 2: Understanding user interfaces and Prompt structuring

52:15
Assignment
Phase 1 Quiz

Phase 2: Using ChatGPT and DeepSeek in Clinical Practice (Week 3-5)
Objective: Train doctors in utilizing AI for patient care, diagnostics, and decision support

Phase 3: Leveraging AI in Medical Education, research & Training (Week 6-8)
Objective: Train doctors to use AI for self-learning, student education, scientific research and simulation-based training.

Session 6: Use of AI in Medical research

23:55
Assignment 5
Session 7: Teaching & Medical Simulation: Creating interactive clinical case scenarios with AI

01:02:07
Assignment 6
Session 8 and 9: AI in Literature Review, CPD and Medical Conferences, Enhancing journal club discussions with AI generated insights

48:27
Assignment 7
Workshop 1
Workshop 2
Session 10: AI in Workflow Automation & EHR

38:50
Phase 3 Quiz

Phase 4: Ethical, Regulatory, and Future Applications of AI in Medicine (Week 11-14)
Objective: Address the responsible use of AI in healthcare, future trends, and implementation strategies.

Student Ratings & Reviews

5.0

Total 1 Rating

1 Rating

0 Rating

Ahmed Elsolia

8 months ago

Dr Waleed has been very helpful and approachable, thank you

AI for Healthcare professionals (2nd edition)

About Course

Course Content

Phase I
Objective: Provide foundational knowledge on AI, NLP models, and their applications in healthcare.

Introduction to the course

Session 1: Overview of different AI tools in Healthcare

Assignment

Session 2: Understanding user interfaces and Prompt structuring

Assignment

Phase 1 Quiz

Phase 2: Using ChatGPT and DeepSeek in Clinical Practice (Week 3-5)
Objective: Train doctors in utilizing AI for patient care, diagnostics, and decision support

Session 3: Clinical Decision Support with AI + Using AI for differential diagnoses and treatment guidance

Assignment 3

Session 4: Enhancing Communication with AI + AI powered patient education & consent explanation

Session 5: AI in Study and Education

End of phase Assignment (4)

Phase 2 Quiz

Phase 3: Leveraging AI in Medical Education, research & Training (Week 6-8)
Objective: Train doctors to use AI for self-learning, student education, scientific research and simulation-based training.

Session 6: Use of AI in Medical research

Assignment 5

Session 7: Teaching & Medical Simulation: Creating interactive clinical case scenarios with AI

Assignment 6

Session 8 and 9: AI in Literature Review, CPD and Medical Conferences, Enhancing journal club discussions with AI generated insights

Assignment 7

Workshop 1

Workshop 2

Session 10: AI in Workflow Automation & EHR

Phase 3 Quiz

Phase 4: Ethical, Regulatory, and Future Applications of AI in Medicine (Week 11-14)
Objective: Address the responsible use of AI in healthcare, future trends, and implementation strategies.

Session 11: Introduction session for Capstone project, Zero code platforms for AI application development

Session 12: Capstone project, Create your app with Create.xyz

Capstone project

Session 13: Future of AI in Medicine, Open discussion

Session 14: Ethical and Regulatory Aspects of AI in Healthcare

Session 15: Summary of key takeaways AI competency assessment

Explore

Quick Links

About Course

Course Content

Phase I Objective: Provide foundational knowledge on AI, NLP models, and their applications in healthcare.

Introduction to the course

Session 1: Overview of different AI tools in Healthcare

Assignment

Session 2: Understanding user interfaces and Prompt structuring

Assignment

Phase 1 Quiz

Phase 2: Using ChatGPT and DeepSeek in Clinical Practice (Week 3-5) Objective: Train doctors in utilizing AI for patient care, diagnostics, and decision support

Session 3: Clinical Decision Support with AI + Using AI for differential diagnoses and treatment guidance

Assignment 3

Session 4: Enhancing Communication with AI + AI powered patient education & consent explanation

Session 5: AI in Study and Education

End of phase Assignment (4)

Phase 2 Quiz

Phase 3: Leveraging AI in Medical Education, research & Training (Week 6-8) Objective: Train doctors to use AI for self-learning, student education, scientific research and simulation-based training.

Session 6: Use of AI in Medical research

Assignment 5

Session 7: Teaching & Medical Simulation: Creating interactive clinical case scenarios with AI

Assignment 6

Session 8 and 9: AI in Literature Review, CPD and Medical Conferences, Enhancing journal club discussions with AI generated insights

Assignment 7

Workshop 1

Workshop 2

Session 10: AI in Workflow Automation & EHR

Phase 3 Quiz

Phase 4: Ethical, Regulatory, and Future Applications of AI in Medicine (Week 11-14) Objective: Address the responsible use of AI in healthcare, future trends, and implementation strategies.

Session 11: Introduction session for Capstone project, Zero code platforms for AI application development

Session 12: Capstone project, Create your app with Create.xyz

Capstone project

Session 13: Future of AI in Medicine, Open discussion

Session 14: Ethical and Regulatory Aspects of AI in Healthcare

Session 15: Summary of key takeaways AI competency assessment

Student Ratings & Reviews

Explore

Quick Links

Phase I
Objective: Provide foundational knowledge on AI, NLP models, and their applications in healthcare.

Phase 2: Using ChatGPT and DeepSeek in Clinical Practice (Week 3-5)
Objective: Train doctors in utilizing AI for patient care, diagnostics, and decision support

Phase 3: Leveraging AI in Medical Education, research & Training (Week 6-8)
Objective: Train doctors to use AI for self-learning, student education, scientific research and simulation-based training.

Phase 4: Ethical, Regulatory, and Future Applications of AI in Medicine (Week 11-14)
Objective: Address the responsible use of AI in healthcare, future trends, and implementation strategies.