Format: 6 Videos Edition: 2021 Size: 750 MB
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Learn ML and AI fundamentals in Radiology. Covers bias, clinical reasoning, cardiothoracic applications, ethics, and future trends.
Format: 6 Videos
Edition: 2021
Contents
▪️ Module 1
Radiology AI: Beyond the Hype — John Banja, MD
The Basics of Machine Learning and AI — Steven Li, MA
▪️ Module 2
Bias in AI — Michael Bruno, MD
AI in Lung Imaging and Cardiac Radiomics — Anthony Reeves, Ph.D
▪️ Module 3
AI and Clinical Reasoning: Mirror or Heuristics — David Chartash, Ph.D
The Road Ahead for AI in Radiology — Charles Kahn, MD
Learning Outcomes:
▪️ Discuss the basics of Machine Learning and Artificial Intelligence
▪️ Explain how AI algorithms can be affected by bias
▪️ Recognize the impact of AI systems on clinical reasoning
▪️ Evaluate new AI claims and offerings and separate hype from reality in Radiology AI
▪️ Discuss how Radiology AI is currently used in cardiothoracic imaging
▪️ Reference future developments in AI in Radiology
▪️ Recognize some ethical considerations in Radiology AI
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Machine Learning (ML) and Artificial Intelligence (AI) in Radiology includes comprehensive high-definition video lectures, companion PDF syllabus notes, and clinical slides. All learning modules and review materials are organized systematically to support both quick reference and thorough examination preparation.
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