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AI in Medicine
Role Play
Rating: 3.9 out of 5(15 ratings)
63 students

AI in Medicine

A Practical Guide to using AI in Diagnosis, Risk Assessment, Treatment Selection, and Clinical Research
Last updated 5/2026
English

What you'll learn

  • Use AI in healthcare.
  • Use AI in clinical diagnosis --- complex patients, diagnostic dilemmas.
  • Use AI in risk prediction tools --- triage and predict risk of complications and adverse events.
  • Use AI in treatment selection --- choose the best drug, list choices, optimize clinical care.
  • Find out key recommendations in clinical guidelines and updates using AI.
  • Incorporate AI into clinical research and quality improvement projects.

Course content

7 sections15 lectures3h 37m total length
  • Introduction to the course10:01
  • Overview of AI in healthcare7:57
  • Useful resources (with links) on AI and healthcare2:04

Requirements

  • No prerequisites.
  • This course includes example prompts and screencasts on how to use AI tools.

Description

"Excellent knowledge"
"Great"

    --- recent reviews by learners.


Transform patient care with practical, real-world AI skills ... for diagnosis, treatment selection and more.


Hello and welcome, I'm a professor of medicine with over two decades of clinical, teaching, and research experience.
I was board certified in 2002, after completing residency training at the University of Rochester, New York. I have provided patient care across the US and taught clinical care to medical students and residents. My goal is to give you the best tools to succeed.


AI in clinical medicine is no longer experimental. According to a Microsoft and IDC study, 79 percent of healthcare organizations are already using AI in some form, with an average return on investment realized within 14 months. Multi‑center deep learning models have demonstrated the ability to predict sepsis 3 to 4 hours before clinical onset. The global AI in healthcare market was valued at approximately USD 30 billion and is projected to exceed USD 500 billion by 2032 to 2033, growing at annual rates of over 38 percent.

Healthcare is evolving rapidly, and artificial intelligence (AI) is becoming one of the most important tools for clinicians.

This course is designed for physicians, residents, medical students, nurses, pharmacists, and other professionals and students who want a practical, accessible introduction to using AI safely and effectively in clinical practice. No technical background is required.


Throughout the course, I will show you how AI is used in diagnosis, documentation, medical imaging, ECG interpretation, risk prediction, clinical decision-making, and even research and quality improvement. The goal is to help you build confidence, reduce workflow burdens, improve patient care, and stay competitive in a changing healthcare landscape.

Whether you feel curious, cautious, or excited about AI, this course gives practical applications you can begin using immediately.


What You Will Learn

  • How AI tools assist in making a diagnosis, including documentation support and clinical learning

  • How to use AI tools to assist with treatment planning, guideline retrieval, literature summaries, and clinical reasoning (prompt writing / prompt engineering for healthcare professionals)

  • How AI can support research planning, sample size calculation, survey design, and manuscript writing


Course Benefits include

  1. Carefully-crafted lectures with smooth well-designed visuals

  2. A board-style practice exam to help you prepare for professional certification

  3. Summary sheets with tips and example prompts you can print and keep as ready reference

  4. Key insights based on the 'voice of experience' (practical wisdom that is not easily found)

  5. Practical examples drawn from clinical cases, imaging, and documentation workflows

  6. A ward round with Dr Renee, your chief resident who loves to teach clinical reasoning

  7. An opportunity to talk to Professor Lee, a senior faculty with great insights on conducting research


Who this Course is for

  • Healthcare professionals and students

  • Physicians, medical students, fellows, and residents

  • Nurses and nurse practitioners, physician assistants/associates

  • Medical, nursing, pharmacy, and allied health students

  • Healthcare administrators, QI teams, and biomedical researchers

  • Anyone who wants to understand and use AI in healthcare confidently


Professional Career Benefits
Completing this course gives you a strong competitive advantage as AI becomes a standard part of healthcare delivery.
You will gain practical, workplace-ready skills in clinical documentation support, diagnostic reasoning, risk interpretation, treatment guidance, and research planning.
These competencies can help you stand out for leadership positions, academic roles, innovation initiatives, and career advancement.
You will also learn how to work more efficiently, reduce stress, and enhance your overall clinical impact.


Join the Course
If you have ever wondered how to use AI effectively in your everyday clinical work, this course is for you.


You are in the right place to incorporate AI into your clinical practice, learning, and career development.

Enroll today and begin building the AI skills every modern clinician needs.
RISK FREE: 30-day money back guarantee.

I will be your mentor and guide.



DISCLAIMER
For educational purposes only. Not intended for self-diagnosis or treatment.
Please seek a qualified doctor or healthcare professional for medical care.


[Updated July 2026]

Who this course is for:

  • Physicians and residents who want to use AI safely and effectively in diagnosis, treatment decisions, and clinical workflows.
  • Medical students, and students in nursing, pharmacy, physician assistant/associate, nurse practitioner, veterinary medicine, and other healthcare fields
  • Nurses and nurse practitioners interested in AI-supported documentation, risk scoring, patient monitoring, and workflow optimization.
  • Healthcare administrators, QI leaders, and clinical researchers exploring how AI can enhance operational efficiency, research design, and quality improvement.
  • Anyone working in healthcare who wants a practical, non-technical introduction to AI’s real-world applications, limitations, and future impact.