Research — Papers and Clinical Evidence

Editorial

The quest for reproducibility

Felipe Kitamura; Flávia Paiva Proença Lobo Lopes

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Research Article

The RSNA International COVID-19 Open Radiology Database (RICORD)

Emily B. Tsai; Scott Simpson; Matthew P. Lungren; Michelle Hershman; Leonid Roshkovan; Errol Colak; Bradley J. Erickson; George Shih; Anouk Stein; Jayashree Kalpathy–Cramer; Jody Shen; Mona Ahmed Fouad Hafez; Susan John; Prabhakar Rajiah; Brian Pogatchnik; John Mongan; Emre Altınmakas; Erik Ranschaert; Felipe Kitamura; Laurens Topff; Linda Moy; Jeffrey P. Kanne; Carol C. Wu

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Research Article

Natural Language Processing of Radiology Text Reports: Interactive Text Classification

Walter F. Wiggins; Felipe Kitamura; Igor Santos; Luciano M. Prevedello

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Editorial

Magician’s Corner: 9. Performance Metrics for Machine Learning Models

Bradley J. Erickson; Felipe Kitamura

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Research Article

A Deep Learning–based Model for Detecting Abnormalities on Brain MR Images for Triaging: Preliminary Results from a Multisite Experience

Romane Gauriau; Bernardo C. Bizzo; Felipe Kitamura; Osvaldo Landi; Suely Fazio Ferraciolli; Fabíola Macruz; Tiago Arruda Sanchez; Márcio Ricardo Taveira Garcia; Leonardo Vedolin; Romeu Côrtes Domingues; Emerson L. Gasparetto; Katherine P. Andriole

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Research Article

Machine learning model for predicting severity prognosis in patients infected with COVID-19: Study protocol from COVID-AI Brasil

Flávia Paiva Proença Lobo Lopes; Felipe Kitamura; Gustavo Faibischew Prado; Paulo Eduardo de Aguiar Kuriki; Márcio Ricardo Taveira Garcia; COVID-AI-Brasil

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Research Article

The RSNA Pulmonary Embolism CT Dataset

Errol Colak; Felipe Kitamura; Stephen Hobbs; Carol C. Wu; Matthew P. Lungren; Luciano M. Prevedello; Jayashree Kalpathy–Cramer; Robyn L. Ball; George Shih; Anouk Stein; Safwan S. Halabi; Emre Altınmakas; Meng Law; Parveen Kumar; Karam A. Manzalawi; Dennis Charles Nelson Rubio; Jacob W. Sechrist; Pauline Germaine; Eva Castro Lopez; Tomas Amerio; Pushpender Gupta; Manoj Jain; Fernando Uliana Kay; Cheng Ting Lin; Saugata Sen; Jonathan Revels; Carola Brussaard; John Mongan; For the RSNA-STR Annotators and Dataset Curation Contributors; Nitamar Abdala; Benjamin Bearce; Henrique Carrete; Hakan Dogan; Shih-Cheng Huang; Priscila Crivellaro; Seval Dincler; Helen Kavnoudias; Robin Lee; Hui-Ming Lin; Hojjat Salehinejad; Oleksandra Samorodova; Ernandez Rodrigues dos Santos; Jarrel Seah; Adil Zia; Veronica A. Arteaga; Kiran Batra; Augusto Castelli von Atzingen; Anith Chacko; Paul B. DiDomenico; Ritu R. Gill; Mona A. Hafez; Susan John; Robert L. Karl; Jeffrey P. Kanne; Rajesh V. Mathilakath Nair; Shaunagh McDermott; Pardeep K. Mittal; Amy Mumbower; Christopher Lee; Paola J. Orausclio; Diana Palacio; Chiara Pozzessere; Prabhakar Rajiah; Oswaldo A. Ramos; Sonia Rodriguez; Mahmoud N. Shaaban; Palmi N. Shah; Hongju Son; Sushilkumar K. Sonavane; Bradley Spieler; Emily Tsai; Andrés Vásquez; Deepti Vijayakumar; Praveen P. Wali; Austin Wand; G. Elizabeth Zamora Endara

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Editorial

Magician’s Corner: 8: How to Connect an Artificial Intelligence Tool to PACS

Bradley J. Erickson; Felipe Kitamura

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Review

Artificial intelligence as a tool for diagnosis in digital pathology whole slide images: A systematic review

João Pedro Mazuco Rodriguez; Rubens Rodriguez; Vitor Werneck Krauss Silva; Felipe Kitamura; Gustavo Cesar Antônio Corradi; Ana Carolina Bertoletti De Marchi; Rafael Rieder

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Research Article

Forging Connections in Latin America to Advance AI in Radiology

Felipe Kitamura; Felipe Barjud Pereira do Nascimento; Guillermo Elizondo‐Riojas; Hernán Chaves; Héctor Henríquez Leighton; Emmanuel Salinas-Miranda; Thiago Júlio; Antônio José da Rocha; César Higa Nomura

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Research Article

Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19

Matthew Li; Nishanth Arun; Mehak Aggarwal; Sharut Gupta; Praveer Singh; Brent P. Little; Dexter P. Mendoza; Gustavo C.A. Corradi; Marcelo S. Takahashi; Suely Fazio Ferraciolli; Marc D. Succi; Min Lang; Bernardo C. Bizzo; Ittai Dayan; Felipe Kitamura; Jayashree Kalpathy–Cramer

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Research Article

Beyond the <i>AJR</i>: Patrolling k-Space to Spot “Data Crimes” Using Public MRI Datasets

Paulo E.A. Kuriki; Felipe Kitamura

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We pursue the questions that define the next era of medicine.

Diffusion-Weighted Imaging with Color-Coded Images: Towards a Reduction in Reading Time While Keeping a Similar Accuracy

The RSNA Pediatric Bone Age Machine Learning Challenge

The Type III Secretion System (T3SS)-Translocon of Atypical Enteropathogenic Escherichia coli (aEPEC) Can Mediate Adherence

Abstract WP68: Interpretable Deep Learning-based Characterization of Intracranial Hemorrhage on Head CT

Stay ahead in imaging

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The quest for reproducibility

The RSNA International COVID-19 Open Radiology Database (RICORD)

Natural Language Processing of Radiology Text Reports: Interactive Text Classification

Magician’s Corner: 9. Performance Metrics for Machine Learning Models

A Deep Learning–based Model for Detecting Abnormalities on Brain MR Images for Triaging: Preliminary Results from a Multisite Experience

Machine learning model for predicting severity prognosis in patients infected with COVID-19: Study protocol from COVID-AI Brasil

The RSNA Pulmonary Embolism CT Dataset

Magician’s Corner: 8: How to Connect an Artificial Intelligence Tool to PACS

Artificial intelligence as a tool for diagnosis in digital pathology whole slide images: A systematic review

Forging Connections in Latin America to Advance AI in Radiology

Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19

Beyond the <i>AJR</i>: Patrolling k-Space to Spot “Data Crimes” Using Public MRI Datasets