Algorithmic Fairness in Machine Learning

FromRadiology AI Podcasts | RSNA

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Algorithmic Fairness in Machine Learning

FromRadiology AI Podcasts | RSNA

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Length:

21 minutes

Released:

Sep 29, 2023

Format:

Podcast episode

Description

Drs. Paul Yi and Ali Tejani speak with Dr. Kareem A. Wahid about Algorithmic Fairness in Machine Learning and why it's relevant to healthcare Check out Dr. Wahid's blog about this topic here

Released:

Sep 29, 2023

Format:

Podcast episode

Titles in the series (45)

A podcast devoted to clinical radiology and allied sciences, owned and published by the Radiological Society of North America.

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Episode 3: 2019 RSNA Brain CT Hemorrhage Challenge: Dr. Paul Yi interviews Adam Flanders, MD about his paper "Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge" from Radiology: Artificial Intelligence Volume 2: Number 3. Introduction to... by Radiology AI Podcasts | RSNA
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Episode 1: Welcome to the Radiology: AI podcast: Dr. Kahn Interview by Radiology AI Podcasts | RSNA
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Episode 2: Author and Reviewer Guide to CLAIM: Dr. Paul Yi interviews Linda Moy, MD and John Mongan, MD, PhD about their paper "Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers" from Radiology: Artificial Intelligence Volume 2: Number 2. ... by Radiology AI Podcasts | RSNA
27 min listen
Episode 5: Interview with Ian Pan, MD: Dr. Paul Yi interviews Dr. Ian Pan the world's first physician & Kaggle Grandmaster. Introduction to the podcast by Dania Daye, MD, PhD RSNA2020 Virtual Meeting https://www.rsna.org/annual-meeting by Radiology AI Podcasts | RSNA
28 min listen
Episode 10: NIH Data Scholar Program at Fogarty and Radiology:AI Trainee Editorial Board: Dr. Paul Yi interviews Judy Gichoya, Assistant Professor of Interventional Radiology and Informatics, Emory University & NIH Data Scholar at Fogarty Introduction to the podcast by Dania Daye, MD, PhD by Radiology AI Podcasts | RSNA
40 min listen
Episode 4: Interview with Dr. Curtis Langlotz: Dr. Paul Yi interviews Curtis P. Langlotz, MD, PhD, RSNA Board Liaison for Information Technology and Annual Meeting. Introduction to the podcast by Dania Daye, MD, PhD RSNA2020 Virtual Meeting https://www.rsna.org/annual-meeting by Radiology AI Podcasts | RSNA
35 min listen
Episode 6: Radiology AI: Past, Present and Future: Dr. Paul Yi interviews Eliot Siegel, MD the Vice Chair of Radiology, University of Maryland. Introduction to the podcast by Dania Daye, MD, PhD RSNA2020 Virtual Meeting https://www.rsna.org/annual-meeting by Radiology AI Podcasts | RSNA
30 min listen
Episode 13: State of Radiology AI Algorithms in the Marketplace: Dr. Paul Yi interviews Hari Trivedi, MD, Assistant Professor of Radiology and Biomedical Informatics, co-director of the Health Innovation and Translational Informatics (HITI) lab Yasasvi Tadvarthi, MD, Resident Physician about their paper ... by Radiology AI Podcasts | RSNA
38 min listen
Episode 8: AI in Radiology Education: Dr. Paul Yi interviews Dr. Katherine Andriole and Dr. Walter F. Wiggin about AI in radiology education and their paper: Preparing Radiologists to Lead in the Era of Artificial Intelligence. Radiology: Artificial Intelligence 2020; 2(6):e200057... by Radiology AI Podcasts | RSNA
33 min listen
Episode 7: Medical Imaging and Data Resource Center: Dr. Paul Yi interviews Dr. Maryellen Giger and Dr. Matt Lungren about MIDRC, a joint RSNA/ACR/AAPM effort to create an open source data set with tens of thousands of COVID 19 medical images for research. Introduction to the podcast by Dania Daye, MD, PhD by Radiology AI Podcasts | RSNA
28 min listen
Episode 9: AI in Global Radiology: Dr. Paul Yi interviews Drs. Farouk Dako, Felipe Kitamura, and Vidur Mahajan about Ai in global radiology. Introduction to the podcast by Dania Daye, MD, PhD by Radiology AI Podcasts | RSNA
37 min listen
Episode 12: How to make a radiology practice "AI-ready": Dr. Paul Yi interviews Bradley J. Erickson, M.D., Ph.D. Professor of Radiology at Mayo Clinic College of Medicine and Science in Rochester, Minnesota Medical director for Artificial Intelligence Innovation and Enablement across Mayo Clinic.... by Radiology AI Podcasts | RSNA
38 min listen
Episode 18: RSNA Fireside Chat: Live recording from the RSNA Annual Meeting 2021 for the Radiology: AI journals. Join Drs. Paul Yi and Dania Daye as they host a fireside discussion on all things AI past, present, and future. by Radiology AI Podcasts | RSNA
58 min listen
Episode 11: Clinical Experience with AI Model for CT Head Triage: Dr. Paul Yi interviews Ronald Peshock, M.D. and Thomas O'Neill, M.D. on their article: Introduction to the podcast by Dania Daye, MD, PhD by Radiology AI Podcasts | RSNA
30 min listen
Episode 14: RSNA Pulmonary Embolism Detection Challenge: Dr. Paul Yi interviews Carol Wu, MD, Professor, Department of Thoracic Imaging, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX and Ian Pan, MD, Radiology Resident, Brigham and Women's Hospital about the ... by Radiology AI Podcasts | RSNA
34 min listen
Episode 19: Radiology: AI Journal Reflections and Social Media Team Update: Charles Kahn, Jr., MD, MS, Hesham ElHalawani, MD, and Paul Yi, MD sit down to discuss the growth of the Radiology: AI Journal and what to expect from the social media team in the future. by Radiology AI Podcasts | RSNA
42 min listen
Weakly-Supervised Learning for Global, Examination Labels and Code-Sharing Practices- Part 1: Co-hosts Dr. Paul Yi and Dr. Ali Tenjani speak with Jacopo Teneggi and Dr. Jeremias Sulam about Jacopo's trainee award winning research Weakly-Supervised Learning Substantially Reduces the Number of Labels Required for Intracranial Hemorrhage... by Radiology AI Podcasts | RSNA
20 min listen
Episode 26: Trainee Editorial Board Experience: Co-hosts Dr. Ali Tejani and Dr. Paul Yi speak with Merel Huisman, MD, PhD, John Mayfield, MD, MSc, and Iwan Paulucci, PhD about their Radiology AI: Trainee Editorial Board experiences. by Radiology AI Podcasts | RSNA
38 min listen
Episode 15: Development of AI in Radiology and Future Directions.: Dr. Paul Yi interviews Ronald Summers, MD, PhD Senior Investigator of Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, NIH Clinical Center Disclaimer: The opinions expressed in this podcast are those of the participants and do not... by Radiology AI Podcasts | RSNA
33 min listen
Episode 16 : Perspectives on radiology AI editorial process, direction of the field, and the importance of diversity in AI.: Dr. Paul Yi interviews Despina Kontos Matthew J. Wilson Associate Professor of Research Radiology II Associate Vice-Chair for Research University of Pennsylvania Introduction to the podcast by Dania Daye, MD, PhD by Radiology AI Podcasts | RSNA
35 min listen
Episode 20: Ethics of AI in Radiology and Medicine: Dr. Paul Yi interivews Drs. Christoph Lehmann and John McGreevey about the ethics of AI in radiology and medicine. Christoph Lehmann, MD; Willis C. Maddrey, M.D. Distinguished Professorship in Clinical Science; Professor of Pediatrics,... by Radiology AI Podcasts | RSNA
51 min listen
Episode 17:Impact of Medical Image Processing on Downstream AI Performance: Dr. Paul Yi interviews Bhavik Patel Senior Associate Consultant Associate Professor Department of Radiology Director of AI on recent article Introduction to the podcast by Dania Daye, MD, PhD by Radiology AI Podcasts | RSNA
37 min listen
Episode 23: NLP/Transformer Models for Radiology: In this episode Drs Paul Yi, Ali Tejani, and Jae Ho Sohn diccuss the topic of bidirectional encoder representations from transformers (BERT) models in relation to radiology. -Paul Yi, MD, Assistant Professor and Director of University of... by Radiology AI Podcasts | RSNA
41 min listen
Episode 21: Radiology-AI Software Developer & Real World Clinical Deployment of AI for Kidney Cyst Segmentation: Radiology: AI podcast host Dr. Paul Yi interviews Akshay Goel, MD – Board-Certified Radiologist and Senior Machine Learning Scientist at Tempus Labs. by Radiology AI Podcasts | RSNA
43 min listen
Breast Imaging Datasets (EmBED) Part 2: Co-Hosts Paul Yi and Ali Tejani interview Drs Hari Trivedi and MinJae Woo about their article recently published in the Radiology: Artificial Intelligence. by Radiology AI Podcasts | RSNA
26 min listen
Sustainability in AI- Part 1: Drs. Paul Yi and Ali Tejani speak with Dr. Florence Doo, the Director of Innovation University of Maryland Medical Center, about Sustainability in AI. by Radiology AI Podcasts | RSNA
13 min listen
Episode 22: Re-Release Interview with Kaggle Grandmaster Ian Pan, MD: In honor for the RSNA C-Spine Kaggle competition, here is a throwback episode when host Paul Ye interviewed Ian Pan, MD the world's first physician & Kaggle Grandmaster. RSNA has teamed with the American Society of Neuroradiology (ASNR) and... by Radiology AI Podcasts | RSNA
27 min listen
Algorithmic Fairness in Machine Learning: Drs. Paul Yi and Ali Tejani speak with Dr. Kareem A. Wahid about Algorithmic Fairness in Machine Learning and why it's relevant to healthcare by Radiology AI Podcasts | RSNA
21 min listen
Episode 27: ChatGPT- Special Radiology Podcast Collaboration: Drs. Paul Yi and Ali Tejani team up with Radiology podcast host Dr. Linda Chu to discuss the hot topic of ChatGPT with Dr. Som Biswas, Dr. Felipe Kitamura, and PhD Student Artie Shen. For more ChatGPT content check out this articles- by Radiology AI Podcasts | RSNA
49 min listen
Episode 24: Radiology: AI Roundtable - Starting an AI Research Lab: Ali Tejani hosts a discussion with Drs. Kirti Magudia, Andreas Rauschecker, and Paul Yi about their research lab beginnings. by Radiology AI Podcasts | RSNA
43 min listen

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Data Resources Initiative -Part 2: Picking up where part 1 left off, Dr. Ali Tejani and Dr. Paul Yi speak with Dr. Bardia Khosravi to learn more about the journal’s latest Date Resource initiative. by Radiology AI Podcasts | RSNA
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AI for Opportunistic Imaging Part 2: Dr. Paul Yi and Dr. Ali Tejani host a roundtable discussion on the role for AI for opportunistic imaging with Dr. Kirti Magudia, Dr. Michael Rosenthal, and Dr. Abhinav Suri. by Radiology AI Podcasts | RSNA
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A Year in Review for Radiology AI 2023: Co-hosts Dr. Paul Yi and Dr. Ali Tejani talk about all of the advances that came out in AI last year and what they predict will be the future of the field for 2024. by Radiology AI Podcasts | RSNA
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Sustainability in AI-Part 2: Drs. Paul Yi and Ali Tejani speak with Dr. Florence Doo, the Director of Innovation University of Maryland Medical Center, about Sustainability in AI. by Radiology AI Podcasts | RSNA
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Breast Imaging Datasets (EmBED) Part 2: Co-Hosts Paul Yi and Ali Tejani interview Drs Hari Trivedi and MinJae Woo about their article recently published in the Radiology: Artificial Intelligence. by Radiology AI Podcasts | RSNA
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Breast Imaging Datasets (EmBED) Part 1: Co-Hosts Paul Yi and Ali Tejani interview Drs Hari Trivedi and MinJae Woo about their article recently published in the Radiology: Artificial Intelligence. by Radiology AI Podcasts | RSNA
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Weakly-Supervised Learning for Global, Examination Labels and Code-Sharing Practices- Part 2: Co-hosts Dr. Paul Yi and Dr. Ali Tenjani speak with Jacopo Teneggi and Dr. Jeremias Sulam about Jacopo's trainee award winning research Weakly-Supervised Learning Substantially Reduces the Number of Labels Required for Intracranial Hemorrhage... by Radiology AI Podcasts | RSNA
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Weakly-Supervised Learning for Global, Examination Labels and Code-Sharing Practices- Part 1: Co-hosts Dr. Paul Yi and Dr. Ali Tenjani speak with Jacopo Teneggi and Dr. Jeremias Sulam about Jacopo's trainee award winning research Weakly-Supervised Learning Substantially Reduces the Number of Labels Required for Intracranial Hemorrhage... by Radiology AI Podcasts | RSNA
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Episode 27: ChatGPT- Special Radiology Podcast Collaboration: Drs. Paul Yi and Ali Tejani team up with Radiology podcast host Dr. Linda Chu to discuss the hot topic of ChatGPT with Dr. Som Biswas, Dr. Felipe Kitamura, and PhD Student Artie Shen. For more ChatGPT content check out this articles- by Radiology AI Podcasts | RSNA
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Episode 26: Trainee Editorial Board Experience: Co-hosts Dr. Ali Tejani and Dr. Paul Yi speak with Merel Huisman, MD, PhD, John Mayfield, MD, MSc, and Iwan Paulucci, PhD about their Radiology AI: Trainee Editorial Board experiences. by Radiology AI Podcasts | RSNA
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Algorithmic Fairness in Machine Learning

Algorithmic Fairness in Machine Learning

Description

Titles in the series (45)

More Episodes from Radiology AI Podcasts | RSNA

Related podcast episodes