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Felipe C Kitamura

Showing results (11-20 of 36) with videos related to

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Radiology. Artificial Intelligence|January 21, 2026
Open-Source Dataset for the RSNA Screening Mammography Cancer Detection ChallengeHari M Trivedi, Maryam Vazirabad, Felipe C Kitamura, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|August 15, 2024
Choosing a Career after Radiology Training: Academic, Private Practice, or Industry?Jason C Cai, Pouria Rouzrokh, Alfredo Páez-Carpio, et al.
Radiology. Cardiothoracic Imaging|March 29, 2021
Regarding "Serial Quantitative Chest CT Assessment of COVID-19: Deep-Learning Approach"Marcelo Straus Takahashi, Matheus Ribeiro Furtado de Mendonça, Ian Pan, et al.
Radiology. Artificial Intelligence|April 30, 2025
The Evolution of Radiology Image Annotation in the Era of Large Language ModelsAdam E Flanders, Xindi Wang, Carol C Wu, et al.
AJR. American Journal of Roentgenology|April 10, 2024
From Bench to Bedside With Large Language Models: <i>AJR</i> Expert Panel Narrative ReviewRajesh Bhayana, Som Biswas, Tessa S Cook, et al.
Radiology. Artificial Intelligence|January 31, 2024
Performance of ChatGPT on the Brazilian Radiology and Diagnostic Imaging and Mammography Board ExaminationsLeonardo C Almeida, Eduardo M J M Farina, Paulo E A Kuriki, et al.
Radiology|September 2, 2025
Texts Are More than Notes, They Are Data: A Glimpse into How Machines Understand TextFelipe C Kitamura, Eduardo Moreno Júdice de Mattos Farina, João Pedro Mazuco Rodriguez, et al.
Journal of Imaging Informatics in Medicine|August 5, 2025
Digital Twin Technology In RadiologySara Sadat Aghamiri, Rada Amin, Pouria Isavand, et al.
Radiology|September 23, 2025
Best Practices for the Safe Use of Large Language Models and Other Generative AI in RadiologyPaul H Yi, Hana L Haver, Jean J Jeudy, et al.
Scientific Reports|January 25, 2023
Non-task expert physicians benefit from correct explainable AI advice when reviewing X-raysSusanne Gaube, Harini Suresh, Martina Raue, et al.
Pageof 4

Showing results (11-20 of 36) with videos related to

Sort By:
Pageof 4
Radiology. Artificial Intelligence|January 21, 2026
Open-Source Dataset for the RSNA Screening Mammography Cancer Detection ChallengeHari M Trivedi, Maryam Vazirabad, Felipe C Kitamura, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|August 15, 2024
Choosing a Career after Radiology Training: Academic, Private Practice, or Industry?Jason C Cai, Pouria Rouzrokh, Alfredo Páez-Carpio, et al.
Radiology. Cardiothoracic Imaging|March 29, 2021
Regarding "Serial Quantitative Chest CT Assessment of COVID-19: Deep-Learning Approach"Marcelo Straus Takahashi, Matheus Ribeiro Furtado de Mendonça, Ian Pan, et al.
Radiology. Artificial Intelligence|April 30, 2025
The Evolution of Radiology Image Annotation in the Era of Large Language ModelsAdam E Flanders, Xindi Wang, Carol C Wu, et al.
AJR. American Journal of Roentgenology|April 10, 2024
From Bench to Bedside With Large Language Models: <i>AJR</i> Expert Panel Narrative ReviewRajesh Bhayana, Som Biswas, Tessa S Cook, et al.
Radiology. Artificial Intelligence|January 31, 2024
Performance of ChatGPT on the Brazilian Radiology and Diagnostic Imaging and Mammography Board ExaminationsLeonardo C Almeida, Eduardo M J M Farina, Paulo E A Kuriki, et al.
Radiology|September 2, 2025
Texts Are More than Notes, They Are Data: A Glimpse into How Machines Understand TextFelipe C Kitamura, Eduardo Moreno Júdice de Mattos Farina, João Pedro Mazuco Rodriguez, et al.
Journal of Imaging Informatics in Medicine|August 5, 2025
Digital Twin Technology In RadiologySara Sadat Aghamiri, Rada Amin, Pouria Isavand, et al.
Radiology|September 23, 2025
Best Practices for the Safe Use of Large Language Models and Other Generative AI in RadiologyPaul H Yi, Hana L Haver, Jean J Jeudy, et al.
Scientific Reports|January 25, 2023
Non-task expert physicians benefit from correct explainable AI advice when reviewing X-raysSusanne Gaube, Harini Suresh, Martina Raue, et al.
Pageof 4