Radiology AI Podcasts | RSNA

著者： Radiological Society of North America (RSNA)
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  • A podcast devoted to clinical radiology and allied sciences, owned and published by the Radiological Society of North America.
    2023, Radiological Society of North America (RSNA)
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あらすじ・解説

A podcast devoted to clinical radiology and allied sciences, owned and published by the Radiological Society of North America.
2023, Radiological Society of North America (RSNA)
科学 衛生・健康的な生活 身体的病い・疾患
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エピソード
  • Episode 49: RSNA 2024: AI Insights and Key Highlights

    Episode 49: RSNA 2024: AI Insights and Key Highlights
    2024/11/21

    Dr. Ali Tejani and Dr. Paul Yi preview RSNA 2024 with Dr. Charles Kahn, Editor-in-Chief of Radiology AI. They discuss key highlights from the past year, including the updated CLAIM guidelines, innovative AI tools, and upcoming sessions at RSNA2024.

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    30 分
  • Episode 48: Standardizing LLM Research in Radiology- Part 2

    Episode 48: Standardizing LLM Research in Radiology- Part 2
    2024/10/11

    Dr. Ali Tejani and Dr. Paul Yi discuss the current state of large language model (LLM) research and its applications in radiology with their guests Dr. Merel Huisman, Dr. Tugba Akinci D'Antonoli, and Dr. Christian Bluethgen. They explore the rapid evolution of this field, including the surge in publications and the diverse use cases being explored.

    A New Era of Text Mining in Radiology with Privacy-Preserving LLMs. Akinci D'Antonoli and Bluethgen. Radiology: Artificial Intelligence 2024; 6(4):e240261.

    The AI Generalization Gap: One Size Does Not Fit All. Huisman and Hannink. Radiology: Artificial Intelligence 2023; 5(5):e230246.
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    37 分
  • Episode 47: Standardizing LLM Research in Radiology- Part 1

    Episode 47: Standardizing LLM Research in Radiology- Part 1
    2024/09/13

    Dr. Ali Tejani and Dr. Paul Yi discuss the current state of large language model (LLM) research and its applications in radiology with their guests Dr. Merel Huisman, Dr. Tugba Akinci D'Antonoli, and Dr. Christian Bluethgen. They explore the rapid evolution of this field, including the surge in publications and the diverse use cases being explored.

    A New Era of Text Mining in Radiology with Privacy-Preserving LLMs. Akinci D'Antonoli and Bluethgen. Radiology: Artificial Intelligence 2024; 6(4):e240261.

    The AI Generalization Gap: One Size Does Not Fit All. Huisman and Hannink. Radiology: Artificial Intelligence 2023; 5(5):e230246.
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    28 分

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