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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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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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Host Dr. Ali Tenjani speaks with Dr. Christian Bluethgen about his experience reviewing papers on large language models. Stay tuned to hear more from Dr. Bluethgen in future episodes.
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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.
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Dr. Ali Tejani and Dr. Paul Yi speak with Dr. Bardia Khosravi to learn more about the journal’s latest Data Resource initiative.
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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.
Imaging AI in Practice collection
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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.
Imaging AI in Practice collection
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Co-hosts Dr. Paul Yi and Dr. Ali Tejani interview Dr. Charles Kahn, Editor of Radiology: Artificial Intelligence about how the journal has grown, plans for the future, and the RSNA Annual Meeting 2023.
Dr. Kahn's official blog for the Radiology: AI journal
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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.
Data Resources
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Live recording of the RSNA 2023 Fireside chat hosted by Paul Yi and Ali Tejani
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Co-hosts Dr. Paul Yi and Dr. Ali Tejani talk to Dr. Jakob Wasserthal about Robust Segmentation of 104 Anatomic Structures in CT Images.
TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images. Wasserthal et al.Radiology: Artificial Intelligence 2023; 5(5):e230024.
TotalSegmentator
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Co-hosts Dr. Paul Yi and Dr. Ali Tejani talk to Drs. Tugba Akincidantonoli and Jakob Wasserthal about Models to Automate Estimation of Myelin Maturity.
Development and Evaluation of Deep Learning Models for Automated Estimation of Myelin Maturation Using Pediatric Brain MRI Scans. Akinci D’Antonoli et al. Radiology: Artificial Intelligence 2023; 5(5):e220292.
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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
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Drs. Paul Yi and Ali Tejani speak with Dr. Florence Doo, the Director of Innovation University of Maryland Medical Center, about Sustainability in AI.
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Drs. Paul Yi and Ali Tejani speak with Dr. Florence Doo, the Director of Innovation University of Maryland Medical Center, about Sustainability in AI.
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Drs. Paul Yi and Ali Tejani host a roundtable discussion with Drs. Felipe Kitamura and Bardia Khosravi about Generative AI.
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Drs. Paul Yi and Ali Tejani host a roundtable discussion with Drs. Felipe Kitamura and Bardia Khosravi about Generative AI.
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Co-Hosts Paul Yi and Ali Tejani interview Drs Hari Trivedi and MinJae Woo about their article recently published in the Radiology: Artificial Intelligence.
The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4 Million Screening and Diagnostic Mammographic Images. Jeong and Vey et al. Radiology: Artificial Intelligence 2023; 5(1):e220047.
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Co-Hosts Paul Yi and Ali Tejani interview Drs Hari Trivedi and MinJae Woo about their article recently published in the Radiology: Artificial Intelligence.
The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4 Million Screening and Diagnostic Mammographic Images. Jeong and Vey et al. Radiology: Artificial Intelligence 2023; 5(1):e220047.
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