A podcast devoted to clinical radiology and allied sciences, owned and published by the Radiological Society of North America.
AI for Opportunistic Imaging
March 29, 2024
22:26
Interview with Dr. Charles Kahn
March 1, 2024
15:57
A Year in Review for Radiology AI 2023
Jan. 26, 2024
33:39
Radiology: AI RSNA2023 Fireside Chat LIVE
Jan. 2, 2024
52:27
TotalSegmentator
Nov. 17, 2023
18:25
Models to Automate Estimation of Myelin Maturity
Oct. 27, 2023
24:30
Algorithmic Fairness in Machine Learning
Sept. 29, 2023
20:58
Sustainability in AI-Part 2
Sept. 15, 2023
17:12
Sustainability in AI- Part 1
Sept. 1, 2023
12:45
Roundtable Discussion Series - Generative AI (Part 2)
July 28, 2023
21:59
Roundtable Discussion Series - Generative AI (Part 1)
June 30, 2023
16:06
Breast Imaging Datasets (EmBED) Part 2
June 2, 2023
25:39
Breast Imaging Datasets (EmBED) Part 1
May 31, 2023
23:14
Weakly-Supervised Learning for Global, Examination Labels and Code-Sharing Practices- Part 2
April 7, 2023
27:25
Weakly-Supervised Learning for Global, Examination Labels and Code-Sharing Practices- Part 1
March 17, 2023
20:28
Episode 27: ChatGPT- Special Radiology Podcast Collaboration
Feb. 21, 2023
48:59
Episode 26: Trainee Editorial Board Experience
Jan. 27, 2023
38:09
Episode 25: Radiology: AI RSNA2022 Fireside Chat LIVE
Dec. 31, 2022
55:55
Episode 24: Radiology: AI Roundtable - Starting an AI Research Lab
Nov. 17, 2022
43:06
Episode 23: NLP/Transformer Models for Radiology
Oct. 7, 2022
41:11
Episode 22: Re-Release Interview with Kaggle Grandmaster Ian Pan, MD
Sept. 9, 2022
26:58
Episode 21: Radiology-AI Software Developer & Real World Clinical Deployment of AI for Kidney Cyst Segmentation
July 15, 2022
42:36
Episode 20: Ethics of AI in Radiology and Medicine
June 17, 2022
50:41
Episode 19: Radiology: AI Journal Reflections and Social Media Team Update
April 29, 2022
41:31
Episode 18: RSNA Fireside Chat
Jan. 21, 2022
58:26
Episode 17:Impact of Medical Image Processing on Downstream AI Performance
Nov. 12, 2021
37:11
Episode 16 : Perspectives on radiology AI editorial process, direction of the field, and the importance of diversity in AI.
Oct. 11, 2021
35:24
Episode 15: Development of AI in Radiology and Future Directions.
Aug. 27, 2021
33:24
Episode 14: RSNA Pulmonary Embolism Detection Challenge
July 30, 2021
34:23
Episode 13: State of Radiology AI Algorithms in the Marketplace
June 25, 2021
38:15
Episode 12: How to make a radiology practice "AI-ready"
May 28, 2021
37:43
Episode 11: Clinical Experience with AI Model for CT Head Triage
April 30, 2021
29:33
Episode 10: NIH Data Scholar Program at Fogarty and Radiology:AI Trainee Editorial Board
March 26, 2021
39:34
Episode 9: AI in Global Radiology
Feb. 26, 2021
37:09
Episode 8: AI in Radiology Education
Jan. 29, 2021
32:43
Episode 7: Medical Imaging and Data Resource Center
Jan. 1, 2021
28:16
Episode 6: Radiology AI: Past, Present and Future
Nov. 27, 2020
30:28
Episode 5: Interview with Ian Pan, MD
Oct. 30, 2020
27:35
Episode 4: Interview with Dr. Curtis Langlotz
Sept. 25, 2020
35:09
Episode 3: 2019 RSNA Brain CT Hemorrhage Challenge
July 31, 2020
26:50
Episode 2: Author and Reviewer Guide to CLAIM
May 29, 2020
27:16
Episode 1: Welcome to the Radiology: AI podcast
April 3, 2020
25:20
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