Introduction to Medical Software

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Introduction to Medical Software

Coursera · Beginner ·📐 ML Fundamentals ·1mo ago
In this class, we present a broad overview of the field of medical software. You will learn from Yale professors and a series of industry experts who connect the course concepts to their real world applications. We begin by discussing medical device regulatory structures, data privacy and cybersecurity regulations, and key support technologies such quality management systems and risk management. We then take a detailed look at the medical software life cycle, starting with identifying user needs, mapping these to system requirements and then the process of software design, coding, testing and validation. We continue by exploring issues related to the use of machine learning techniques in medical applications from both a software engineering and a regulatory perspective. We conclude with a discussion of the business and management issues in this area focusing on the impact on digital health on modern healthcare and issues related to starting new ventures. This is a class aimed at either third- or fourth-year undergraduates in computer science, biomedical engineering, and related fields, and to junior software engineers currently either working in, or interested in moving to, the medical device industry.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Python Programming Course in Delhi
Learn Python programming with a practical course in Delhi, designed for beginners and students
Medium · Python
Choosing the Right Architecture: A Software Engineer’s Field Guide to Neural Networks
Learn to choose the right neural network architecture for your AI project and understand the key considerations involved
Medium · Data Science
Chandra OCR 2: When Open Source Reads What Others Miss
Improve text extraction from documents with Chandra OCR 2, an open-source solution that outperforms others in accuracy
Medium · Machine Learning
The hidden value of teaching ML to Non-ML teams
Teaching ML to non-ML teams can break knowledge silos and increase project success, making it a valuable investment for companies
Medium · Machine Learning
Up next
Think in JavaScript – The Hard & Conceptual Parts (Full Course)
freeCodeCamp.org
Watch →