AI Innovations with Open Tools in Healthcare Processes

In this course, you’ll explore how artificial intelligence is reshaping healthcare by combining open-source tools with real-world clinical workflows.

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Course curriculum

1. Welcome to the Course: Course Overview
2. Segment 01: Welcome and Course Goals
3. Segment 02: Module Introduction
4. Segment 03: Defining AI in Simple Terms
5. Segment 04: Traditional vs. AI-Driven Systems
6. Segment 05: Healthcare’s AI Revolution
1. Segment 06: AI in Imaging: X-ray to MRI
2. Segment 07: Predictive AI for Early Detection
3. Segment 08: AI in Administrative Workflows
1. Segment 09: Common AI Myths in Medicine
2. Segment 10: Clinical Risks of AI Misuse
3. Segment 11: Why AI is a Tool, Not a Replacement
4. Segment 12: COVID-19 and AI Diagnosis
5. Segment 13: Hands-On-Learning: Getting Started with ChatGPT in Clinical Practice
6. Segment 14: Risks, Myths & Opportunities
1. Segment 15: Intro to Module
2. Segment 16: What is Open Source in AI?
3. Segment 17: Why Open Tools Matter in Medicine
4. Segment 18: Comparing Open-Source vs Proprietary AI
1. Segment 19: Using ChatGPT for Clinical Summaries
2. Segment 20: Symptoms: AI Symptom Checker
3. Segment 21: Glass AI: Differential Diagnosis Helper
1. Segment 22: Where to Get Medical Datasets
2. Segment 23: Teachable Machine for Imaging AI
3. Segment 24: Tips for Safe Dataset Use
4. Segment 25: 10 Top AI Tools in Healthcare for 2025
5. Segment 26: Hands-On-Learning: Build a No-Code X-ray Classifier with Teachable Machine
6. Segment 27: Datasets & Building AI Without Coding
1. Segment 28: Intro to Module
2. Segment 29: How AI Interprets X-rays, CTs, and MRIs
3. Segment 30: AI for Dermatology and Histopathology
4. Segment 31: Collaboration Between Human Experts and AI Models
1. Segment 32: Forecasting Sepsis, Heart Failure, and Deterioration
2. Segment 33: Use of AI in Wearable Devices and Vital Signs Monitoring
3. Segment 34: Real-Time Decision Tools and Scoring Models
1. Segment 35: Pre-Visit Screening and Education
2. Segment 36: Automating Hospital Operations
3. Segment 37: AI Supporting Nurses and Doctors with Reminders and Triage
4. Segment 38: S.A.R.A.H, a Smart AI Resource Assistant for Health
5. Segment 39: Hands-On-Learning: Simulating a Patient Journey with AI Tools
6. Segment 40: Virtual Assistants and AI in Operations
1. Segment 41: Intro to Module
2. Segment 42: Definition and Importance of CDSS in Hospitals
3. Segment 43: Rules vs. Machine Learning-Powered Tools
4. Segment 44: Real Scenarios of AI Support in Critical Care
1. Segment 45: Compliance in AI-Powered Health Platforms
2. Segment 46: Who’s Accountable When AI Fails
3. Segment 47: Overview of Global Governance Approaches
1. Segment 48: How AI Models Can Reinforce Disparities
2. Segment 49: Making AI Understandable to Users
3. Segment 50: Principles for Responsible AI Deployment
4. Segment 51: AI-Driven Clinical Decision Support Systems: An Ongoing Pursuit of Potential
5. Segment 52: Hands-On-Learning: Evaluating Bias and Safety in CDSS Tools
6. Segment 53: AI-Powered Decision Support Systems (CDSS)
7. Segment 54: Course Wrap-up Video
8. Segment 55: Project: Training a Teachable Machine Model to Detect Pressure Ulcers

About this course

Free
56 lessons
3.5 hours of video content

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AI Innovations with Open Tools in Healthcare Processes

Course curriculum

Module 1: What is AI and Why Healthcare Needs It

Module 2: How AI is Already Being Used in Healthcare

Module 3: Risks, Myths & Opportunities

Module 4: Open-Source AI – Principles & Ecosystem

Module 5: Free AI Tools for Clinical Practice

Module 6: Datasets & Building AI Without Coding

Module 7: AI in Diagnosis & Medical Imaging

Module 8: AI in Monitoring & Risk Prediction

Module 9: Virtual Assistants and AI in Operations

Module 10: Clinical Decision Support Systems (CDSS)

Module 11: AI Safety, Regulation & Legal Issues

Module 11: Ethics, Bias & Responsible AI Deployment

About this course

Discover your potential, starting today