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Building AI Models for Healthcare

TensorFlow via YouTube

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Overview

The course aims to debunk three common myths in building AI models for healthcare. It teaches the importance of data quality over quantity, the necessity of a useful product beyond just accuracy, and the requirement of clinical impact for a successful healthcare AI model. The teaching method includes lectures and conversations with industry professionals. This course is intended for individuals interested in AI in healthcare, particularly those involved in building AI models for medical applications.

Syllabus

- Introduction
- Myth #1: More data is all you need for a better model
- Myth #2: An accurate model is all you need for a useful product
- Myth #3: A good product is sufficient for clinical impact
- Conversation with Kira Whitehouse, Software Engineer
- Conversation with Scott McKinney, Software Engineer

Taught by

TensorFlow

Reviews

5.0 rating, based on 1 Class Central review

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  • ASHLIN SHINU
    The course on "Building AI Models for Healthcare" is a comprehensive exploration into how artificial intelligence can be applied to revolutionize healthcare. It thoroughly covers the essentials of AI technology, including machine learning algorithms…
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