DiscoverAI, Radiology and Ethics: A Podcast SeriesOn Pigeons, Residency Training, and the Development of Expertise.
On Pigeons, Residency Training, and the Development of Expertise.

On Pigeons, Residency Training, and the Development of Expertise.

Update: 2021-11-15
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In this podcast, Dr. Elizabeth Krupinski at Emory University discusses some similarities between pigeon visual processing and humans as well as the development of expert performance in radiology.

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Discussing the Ethics of AI and Medical Error in Radiology

Discussing the Ethics of AI and Medical Error in Radiology

2022-10-3101:04:33

Patients, Their Data, and Their Privacy

Patients, Their Data, and Their Privacy

2022-10-2632:37

The Complexity of Concussion and Growing a Program in AI

The Complexity of Concussion and Growing a Program in AI

2022-10-2539:46

The Business of AI in Radiology

The Business of AI in Radiology

2022-09-2047:01

Health Disparities Revisited: Hopes and Challenges in Medicine and Radiology Practice

Health Disparities Revisited: Hopes and Challenges in Medicine and Radiology Practice

2022-05-1640:59

On Reducing Error in Clinical Care with Artificial Intelligence

On Reducing Error in Clinical Care with Artificial Intelligence

2022-05-1237:23

AI in Health Disparities, Vendor-Hospital Agreements, and Refugee Resettlement

AI in Health Disparities, Vendor-Hospital Agreements, and Refugee Resettlement

2022-04-1937:13

PREVIEW of Episode 10: On Pigeons, Residency Training, and the Development of Expertise.

PREVIEW of Episode 10: On Pigeons, Residency Training, and the Development of Expertise.

2022-04-0602:38

Avoiding Shortcut Solutions in Machine Learning Models

Avoiding Shortcut Solutions in Machine Learning Models

2022-03-1435:43

On Pigeons, Residency Training, and the Development of Expertise.

On Pigeons, Residency Training, and the Development of Expertise.

2021-11-1541:37

On AI and Health Disparities with Dr. Bibb Allen

On AI and Health Disparities with Dr. Bibb Allen

2021-11-0832:54

It's Complicated: Reimbursing Radiology Services in the Age of AI

It's Complicated: Reimbursing Radiology Services in the Age of AI

2021-08-1733:25

Preparing the Radiology Department or Clinic for the Future of AI

Preparing the Radiology Department or Clinic for the Future of AI

2021-07-1927:51

AI in Radiology: The Role of Professional Organizations in Standards Development, Conflicts of Interest, and Bringing Radiology to the World

AI in Radiology: The Role of Professional Organizations in Standards Development, Conflicts of Interest, and Bringing Radiology to the World

2021-06-1531:31

Implementing AI in Health Care Delivery: Perspectives from Executive Clinical Leadership

Implementing AI in Health Care Delivery: Perspectives from Executive Clinical Leadership

2021-05-2735:13

How Will Artificial Intelligence Affect the Medical Malpractice Experience in Radiology?

How Will Artificial Intelligence Affect the Medical Malpractice Experience in Radiology?

2021-02-2235:24

Bias, Fairness and Generalizability

Bias, Fairness and Generalizability

2020-11-1816:07

Bias: Confronting the Problem

Bias: Confronting the Problem

2020-10-1422:31

Sharing and Selling Images

Sharing and Selling Images

2020-09-0714:04

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On Pigeons, Residency Training, and the Development of Expertise.

On Pigeons, Residency Training, and the Development of Expertise.

Emory University Center for Ethics