AI in Healthcare: A-Z Guide on Tech, Applications & Ethics
Learn how AI is transforming diagnostics, drug discovery, and surgery, and explore its ethics, challenges, and future.
What you'll learn
- Explain core AI concepts in healthcare, including Augmented Intelligence and key drivers like data growth
- Differentiate between Machine Learning techniques (Supervised vs. Unsupervised) and Deep Learning
- Apply Natural Language Processing (NLP) concepts to extract insights from unstructured clinical data
- Analyze how Convolutional Neural Networks (CNNs) revolutionize radiology and pathology
- Evaluate AI's role in accelerating drug discovery, from target identification to clinical trials
Course content
Welcome & Course Overview1 lectures
The Core Technologies: Understanding the AI Toolkit3 lectures
AI in Diagnostics: The New Frontier of Detection2 lectures
Reinventing Pharma: AI in Drug Discovery2 lectures
Personalized Medicine & Surgery2 lectures
The Moral Compass: Ethical Considerations2 lectures
Description
Are you ready to be part of the biggest transformation in the history of medicine? Artificial Intelligence is no longer a futuristic concept—it is reshaping healthcare right now. From diagnosing cancer earlier than humanly possible to discovering life-saving drugs in record time, AI is the new nervous system of modern medicine. Welcome to AI in Healthcare: A-Z Guide on Tech, Applications & Ethics, the most comprehensive, practical, and accessible guide. Whether you are a clinician, a healthcare administrator, a medical student, a Pharmacist, a Nurse, or a technologist, this course will strip away the hype and give you a deep, actionable understanding of how AI works, where it is applied, and the ethical challenges we must navigate. We focus on "Augmented Intelligence"—the vision where AI does not replace healthcare professionals, but elevates them, automating burnout-inducing tasks and providing superpowers in diagnostics and decision-making.
Instructor
Neyamul Hasan, M.Pharm
Udemy Instructor & Developer
Experienced healthcare professional and educator specializing in the intersection of Artificial Intelligence and Medicine.
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