AI is showing up more and more in clinical practice. It is everywhere, from tools that spot subtle changes in imaging to digital scribes that save hours on documentation.
But as a clinician, you are already juggling packed clinics, patient care, and paperwork. This leaves you with very little time to understand AI, decode tech jargon or scroll through dense research papers.
But the truth is, you don’t need a PhD in data science to understand how AI fits into healthcare. You just need to lay your hands on the right resources.
That’s what we’re bringing in here for you!
Whether you’re curious about how AI can support your work or want to stay informed as the field evolves, these 8 clinician-friendly resources will help you cut through the complexity without adding to your workload.
8 easy-to-access AI resources every clinician should bookmark
#1 Doctor Penguin
Website: doctorpenguin.com
If you’re short on time but want to keep up with cutting-edge research, Doctor Penguin is your go-to. It curates the latest studies on AI in healthcare from top journals like Nature, JAMA, and The Lancet.
You’ll get short, digestible summaries without needing to read full papers.
#2 Healthcare AI Guy
Website: healthcareaiguy.com
Run by a healthcare strategist, this site breaks down how AI is being used in real-world clinical settings.
You’ll find examples of AI tools used in hospitals, emerging trends, and commentary on how these technologies impact clinical practice. It’s a mix of practical insight and big-picture thinking.
#3 ML for MDs by Dr. Sarah Gebauer
Substack: ML for MDs
This newsletter simplifies AI concepts in language physicians understand. Dr. Sarah Gebauer explains terms like sensitivity, specificity, model drift, and bias through clinical case examples.
Perfect for doctors who want to grasp AI’s pros and cons without the technical overload.
#4 Raihan Faroqui on LinkedIn
Profile: Raihan Faroqui
Raihan is a physician-educator who posts regularly about how AI is changing medicine. His content is insightful and often includes visuals, tool reviews, and simplified explanations of AI concepts.
Following him is like having a thoughtful peer explain complex topics in a coffee chat.
#5 Coursera: AI in Healthcare Specialisation (by Stanford)
Website: AI in Healthcare Specialisation
This is a completely beginner-friendly and structured online course (available on Coursera, backed by Stanford) built for healthcare professionals.
It explains how AI works in diagnostics, EHRs, and population health, with no prior coding knowledge required. It is a 4-week course, and you can learn at your own pace with quizzes and real-world examples.
#6 Mayo Clinic: AI Foundations & Applications
Website: Mayo Executive Education
This introductory course, AI Foundations and Applications for Emerging Digital Healthcare Leaders, is tailored for clinicians who want to become critical and responsible users of AI in healthcare.
It’s designed to be completed in just 1–2 hours, with optional in-depth details for those interested in exploring further. It is ideal for busy professionals who want a solid foundation without a heavy time commitment.
#7 Marvin Praison’s YouTube Channel
YouTube: @MervinPraison
Marvin creates beginner-friendly videos on AI and data science topics, which can be relevant to healthcare too. From how ChatGPT works to using Python in radiology, he makes tech approachable even for non-technical viewers.
#8 DeepLearning.AI Courses
Website: deeplearning.ai/courses
Founded by AI pioneer Andrew Ng, this site offers free and paid courses to help you understand AI foundations.
While not healthcare-specific, the content builds a strong base in how AI models work, which is helpful for clinicians collaborating with data teams.
Keeping up the learning curve
AI isn’t here to replace clinicians. But clinicians who understand how to work with AI will be the ones shaping the future of medicine.
Whether you’ve got 10 minutes or a few hours, these resources make it easy to start learning at your own pace. They will help you stay ahead, whether you’re just exploring AI or looking to integrate it into your clinical work.
No matter your experience level, there’s something here to help you build the knowledge and confidence to work alongside the next wave of healthcare innovation.
-By Rinkle Dudhani and the AHT Team
