AI in Healthcare & Medicine

Explore how Artificial Intelligence and Machine Learning are transforming medical diagnostics and patient care in just 4 weeks!

What You'll Learn

✓ Understand the role of AI and ML in modern medicine

✓ Learn how AI is applied to medical imaging and diagnostics

✓ Build predictive models for patient risk outcomes

✓ Explore natural language processing (NLP) for clinical notes

✓ Understand the ethics and bias in healthcare algorithms

✓ Examine AI in drug discovery and personalized medicine

✓ Deploy machine learning models handling healthcare data

✓ Navigate AI regulations (FDA) and compliance

Course Curriculum

4-week program covering the intersection of advanced technology and medical science.

Week 1: Foundations of Healthcare AI

11 lessons

Introduction to Artificial Intelligence in Healthcare
Key Machine Learning Concepts and Algorithms
Overview of Healthcare Data (EHRs, Wearables, Genomics)
Tools and Frameworks (Python, TensorFlow, PyTorch)
Ethics, Privacy, and Bias in Algorithmic Medicine

Week 2: Medical Imaging & Computer Vision

12 lessons

Introduction to Computer Vision in Medicine
Convolutional Neural Networks (CNNs) for Imaging
Analyzing X-Rays, MRIs, and CT Scans using AI
Image Segmentation Techniques for Tumors/Lesions
Automating Pathology and Radiology Workflows

Week 3: Natural Language Processing in Healthcare

11 lessons

Foundations of NLP and Clinical Text Data
Named Entity Recognition (NER) for Medical Terms
Extracting Insights from Unstructured Clinical Notes
Building AI-Powered Chatbots for Patient Triage
Summarization Models for Discharge Summaries

Week 4: Predictive Analytics & Personalized Medicine

11 lessons

Predictive Modeling for Patient Deterioration
Machine Learning in Genomics and Drug Discovery
Recommender Systems for Precision Medicine
Model Validation, FDA Guidelines, and Deployment
Future Trends: Agentic AI and Generative Models in Health

Projects You'll Build

Develop robust AI models applied directly to practical, medical use cases.

Pneumonia Detection from X-Rays

Build and train a Convolutional Neural Network (CNN) to detect pneumonia in chest X-ray images.

Python TensorFlow Computer Vision

Clinical Note Information Extraction

Develop an NLP pipeline to automatically extract diagnoses, medications, and symptoms from doctor's notes.

NLP Transformers Clinical Text

Readmission Risk Predictor

Train a predictive machine learning model to estimate the risk of patient readmission within 30 days based on clinical features.

Scikit-Learn Predictive Modeling

Medical AI Ethics Audit

Evaluate a trained machine learning model for hidden demographic biases and propose a mitigation strategy.

AI Ethics Bias Mitigation Validation

Prerequisites

💻

Programming and Data Skills

Basic understanding of Python programming and fundamental data concepts

⏰

Time Commitment

15-20 hours per week for optimal learning

No prior experience in medical science itself is required, but basic data analysis knowledge is helpful!

Medical Science

AI in Healthcare & Medicine

Explore how Artificial Intelligence and Machine Learning are transforming medical diagnostics and patient care.

⏱️ 4 weeks

📚 45 lessons

⭐ 5.0/5

This course includes:

✓ 45 hours of video content
✓ 4 hands-on projects
✓ Certificate of completion
✓ Lifetime access
✓ Career support

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