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Artificial Intelligence in Low- and Middle-Income Countries: Innovating Global Health Radiology
Artificial Intelligence in Low- and Middle-Income Countries: Innovating Global Health Radiology
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Artificial Intelligence in Low- and Middle-Income Countries: Innovating Global Health Radiology

Mollura, Daniel J ; Culp, Melissa P ; Pollack, Erica ; Battino, Gillian ; Scheel, John R ; Mango, Victoria L ; Elahi, Ameena ; Schweitzer, Alan ; Dako, Farouk

Radiology, 2020-12, Vol.297 (3), p.513-520 [Periódico revisado por pares]

United States

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2
Adherence to annual lung cancer screening with low-dose CT scan in a diverse population
Adherence to annual lung cancer screening with low-dose CT scan in a diverse population
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Adherence to annual lung cancer screening with low-dose CT scan in a diverse population

Erkmen, Cherie P. ; Dako, Farouk ; Moore, Ryan ; Dass, Chandra ; Weiner, Mark G. ; Kaiser, Larry R. ; Ma, Grace X.

Cancer causes & control, 2021-03, Vol.32 (3), p.291-298 [Periódico revisado por pares]

Cham: Springer International Publishing

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3
Post-lung transplantation abdominopelvic complications: the role of multimodal imaging
Post-lung transplantation abdominopelvic complications: the role of multimodal imaging
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Post-lung transplantation abdominopelvic complications: the role of multimodal imaging

Dako, Farouk ; Hota, Partha ; Kahn, Mansoor ; Kumaran, Maruti ; Agosto, Omar

Abdominal radiology (New York), 2020-04, Vol.45 (4), p.1202-1213 [Periódico revisado por pares]

New York: Springer US

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4
Beyond the AJR : Unpredictably Unequal Effects of Artificial Intelligence Augmentation
Beyond the AJR : Unpredictably Unequal Effects of Artificial Intelligence Augmentation
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Beyond the AJR : Unpredictably Unequal Effects of Artificial Intelligence Augmentation

Udongwo, Angela ; Dako, Farouk

American journal of roentgenology (1976), 2024-05 [Periódico revisado por pares]

United States

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5
Mitigating Domain Shift in AI-Based TB Screening With Unsupervised Domain Adaptation
Mitigating Domain Shift in AI-Based TB Screening With Unsupervised Domain Adaptation
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Mitigating Domain Shift in AI-Based TB Screening With Unsupervised Domain Adaptation

RAVIN, NISHANJAN ; Saha, Sourajit ; Schweitzer, Alan ; Elahi, Ameena ; Dako, Farouk ; Mollura, Daniel ; Chapman, David

IEEE access, 2022, Vol.10, p.45997-46013 [Periódico revisado por pares]

Piscataway: IEEE

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6
Overcoming Challenges for Successful PACS Installation in Low-Resource Regions: Our Experience in Nigeria
Overcoming Challenges for Successful PACS Installation in Low-Resource Regions: Our Experience in Nigeria
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Overcoming Challenges for Successful PACS Installation in Low-Resource Regions: Our Experience in Nigeria

Elahi, Ameena ; Dako, Farouk ; Zember, Jonathan ; Ojetayo, Bunmi ; Gerus, Dale A. ; Schweitzer, Alan ; Mollura, Daniel J. ; Awan, Omer

Journal of digital imaging, 2020-08, Vol.33 (4), p.996-1001 [Periódico revisado por pares]

Cham: Springer International Publishing

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7
Pulmonary Infection
Pulmonary Infection
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Pulmonary Infection

Febbo, Jennifer ; Dako, Farouk

Clinics in chest medicine, 2024-06, Vol.45 (2), p.373-382 [Periódico revisado por pares]

United States: Elsevier Inc

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8
Adapting a Standardized, Industry-Proven Tool to Measure Patients' Perceptions of Quality at the Point of Care in a PET/CT Center
Adapting a Standardized, Industry-Proven Tool to Measure Patients' Perceptions of Quality at the Point of Care in a PET/CT Center
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Adapting a Standardized, Industry-Proven Tool to Measure Patients' Perceptions of Quality at the Point of Care in a PET/CT Center

Dako, Farouk ; Wray, Rick ; Awan, Omer ; Subramaniam, Rathan M

Journal of nuclear medicine technology, 2017-12, Vol.45 (4), p.285-289 [Periódico revisado por pares]

United States: Society of Nuclear Medicine

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9
The Potential of Large Language Models for Radiology Report Simplification and Translations
The Potential of Large Language Models for Radiology Report Simplification and Translations
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The Potential of Large Language Models for Radiology Report Simplification and Translations

Tripathi, Satvik ; Dako, Farouk

Journal of the American College of Radiology, 2024-06 [Periódico revisado por pares]

Elsevier Inc

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10
Photon-counting detector CT allows significant reduction in radiation dose while maintaining image quality and noise on non-contrast chest CT
Photon-counting detector CT allows significant reduction in radiation dose while maintaining image quality and noise on non-contrast chest CT
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Photon-counting detector CT allows significant reduction in radiation dose while maintaining image quality and noise on non-contrast chest CT

Donuru, Achala ; Araki, Tetsuro ; Dako, Farouk ; Dave, Jaydev K. ; Perez, Raul Porto ; Xu, Dongming ; Nachiappan, Arun C. ; Barbosa, Eduardo Mortani ; Noel, Peter ; Litt, Harold ; Knollman, Friedrich

European journal of radiology Open, 2023-12, Vol.11, p.100538-100538, Article 100538 [Periódico revisado por pares]

Elsevier

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