Data Skeptic

Pandemic Machine Learning Pitfalls

Apr 26, 2021

40:17

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Highlights

AI Chapters

Episode notes

How to Develop Machine Learning Models for Clinical Use?

02:47

How Deep Learning Models Can Be Deployed?

02:28

Is There a Governing Body for Developing Clinical Models?

05:08

Introduction

2min

Using Machine Learning to Detect and Prognosticate for Coved 19

2min

Is the Machine Learning Community Ready to Make a Contribution?

3min

How Much Research Did You Do?

2min

Cove 19 Detection

2min

Detection of Cove 19 in Imaging

3min

How Deep Learning Models Can Be Deployed?

2min

How to Develop Machine Learning Models for Clinical Use?

3min

Machine Learning - The Ultimate Life Hack

4min

10.

How Can Hospitals and Universities Collaborate on Data Sharing in Pandemics?

2min

11.

Is There a Need for More Structure When Sharing Data?

2min

12.

Is There a Governing Body for Developing Clinical Models?

5min

13.

Machine Learning Research

2min

14.

Is There a Difference Between Preprint and Pereviewed?

2min

15.

Machine Learning Models

2min

16.

Machine Learning and Medical Collaboration

2min

17.

The 5th of the Pilot Season Episodes

2min

Today on the show Derek Driggs, a PhD Student at the University of Cambridge. He comes on to discuss the work Common Pitfalls and Recommendations for Using Machine Learning to Detect and Prognosticate for COVID-19 Using Chest Radiographs and CT Scans.

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