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What Can We Learn from the RSNA Pediatric Bone Age Machine Learning Challenge?

Radiology, 2019-02, Vol.290 (2), p.504-505

Siegel, Eliot L.

2019

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Will machine learning end the viability of radiology as a thriving medical specialty?

British journal of radiology, 2019-02, Vol.92 (1094), p.20180416-20180416

2019

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Artificial Intelligence in Nuclear Medicine: Counterpoint—More Hype Than Reality Today

American journal of roentgenology (1976), 2024-10, Vol.223 (4)

2024

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Artificial Intelligence in Medicine and Cardiac Imaging: Harnessing Big Data and Advanced Computing to Provide Personalized Medical Diagnosis and Treatment

Current cardiology reports, 2014-01, Vol.16 (1), p.441-441, Article 441

2014

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Artificial Intelligence in Medicine and Cardiac Imaging: Harnessing Big Data and Advanced Computing to Provide Personalized Medical Diagnosis and Treatment

Current cardiology reports, 2014, Vol.16 (1), p.441

2014

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Medical Student Perspectives on the Impact of Artificial Intelligence on the Practice of Medicine

Current problems in diagnostic radiology, 2021-09, Vol.50 (5), p.614-619

2021

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Standardization of terminology in dermoscopy/dermatoscopy: Results of the third consensus conference of the International Society of Dermoscopy

Journal of the American Academy of Dermatology, 2016-06, Vol.74 (6), p.1093-1106

2016

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Criteria for the translation of radiomics into clinically useful tests

Nature reviews. Clinical oncology, 2023-02, Vol.20 (2), p.69-82

2023

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Caveat Emptor: Medicolegal Issues May Arise From the Opaque and Unpredictable Nature of Current Large Language Models Used in Diagnostic Imaging

Academic radiology, 2024-05, Vol.31 (5), p.2156-2158

2024

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Machine Meets Biology: a Primer on Artificial Intelligence in Cardiology and Cardiac Imaging

Current cardiology reports, 2018-12, Vol.20 (12), p.139-139, Article 139

2018

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Exploring the Clinical Translation of Generative Models Like ChatGPT: Promise and Pitfalls in Radiology, From Patients to Population Health

Journal of the American College of Radiology, 2023-09, Vol.20 (9), p.877-885

2023

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Conflicts of Interest in Radiology Publishing

Journal of the American College of Radiology, 2024-09, Vol.21 (9), p.1534-1536

2024

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Reinventing Radiology: Big Data and the Future of Medical Imaging

Journal of thoracic imaging, 2018-01, Vol.33 (1), p.4-16

2018

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Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare

Medical image analysis, 2020-12, Vol.66, p.101800-101800, Article 101800

2020

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A Brief History of AI: How to Prevent Another Winter (A Critical Review)

PET clinics, 2021-10, Vol.16 (4), p.449-469

2021

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An Improved Index of Image Quality for Task-based Performance of CT Iterative Reconstruction across Three Commercial Implementations

Radiology, 2015-06, Vol.275 (3), p.725

2015

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Artificial Intelligence Algorithms Need to Be Explainable-or Do They?

Journal of Nuclear Medicine, 2023-06, Vol.64 (6), p.976-977

2023

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Quantified ultrasound elastography in the assessment of cutaneous carcinoma

British journal of radiology, 2015-10, Vol.88 (1054), p.20150344-20150344

2015

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RSNA Diagnosis Live: A Novel Web-based Audience Response Tool to Promote Evidence-based Learning

Radiographics, 2017-07, Vol.37 (4), p.1111-1118

2017

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Psychometric Limitations of the Mini-Mental State Examination Among Nondemented Older Adults: An Evaluation of Neurocognitive and Magnetic Resonance Imaging Correlates

Experimental aging research, 2013-07, Vol.39 (4), p.382-397

2013

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Making AI Even Smarter Using Ensembles: A Challenge to Future Challenges and Implications for Clinical Care

Radiology. Artificial intelligence, 2019-11, Vol.1 (6), p.e190187-e190187

Siegel, Eliot L

2019

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Economic and Environmental Costs of Cloud Technologies for Medical Imaging and Radiology Artificial Intelligence

Journal of the American College of Radiology, 2024-02, Vol.21 (2), p.248-256

2024

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Imaging evaluation of penetrating neck injuries

Radiographics, 2010-07, Vol.30 (4), p.869

2010

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Clinical Impact and Generalizability of a Computer-Assisted Diagnostic Tool to Risk-Stratify Lung Nodules With CT

Journal of the American College of Radiology, 2023-02, Vol.20 (2), p.232-242

2023

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ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical Imaging

Journal of Imaging Informatics in Medicine, 2024-06

2024

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What Can We Learn from the RSNA Pediatric Bone Age Machine Learning Challenge?

Will machine learning end the viability of radiology as a thriving medical specialty?

Artificial Intelligence in Nuclear Medicine: Counterpoint—More Hype Than Reality Today

Artificial Intelligence in Medicine and Cardiac Imaging: Harnessing Big Data and Advanced Computing to Provide Personalized Medical Diagnosis and Treatment

Artificial Intelligence in Medicine and Cardiac Imaging: Harnessing Big Data and Advanced Computing to Provide Personalized Medical Diagnosis and Treatment

Medical Student Perspectives on the Impact of Artificial Intelligence on the Practice of Medicine

Standardization of terminology in dermoscopy/dermatoscopy: Results of the third consensus conference of the International Society of Dermoscopy

Criteria for the translation of radiomics into clinically useful tests

Caveat Emptor: Medicolegal Issues May Arise From the Opaque and Unpredictable Nature of Current Large Language Models Used in Diagnostic Imaging

Machine Meets Biology: a Primer on Artificial Intelligence in Cardiology and Cardiac Imaging

Exploring the Clinical Translation of Generative Models Like ChatGPT: Promise and Pitfalls in Radiology, From Patients to Population Health

Conflicts of Interest in Radiology Publishing

Reinventing Radiology: Big Data and the Future of Medical Imaging

Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare

A Brief History of AI: How to Prevent Another Winter (A Critical Review)

An Improved Index of Image Quality for Task-based Performance of CT Iterative Reconstruction across Three Commercial Implementations

Artificial Intelligence Algorithms Need to Be Explainable-or Do They?

Quantified ultrasound elastography in the assessment of cutaneous carcinoma

RSNA Diagnosis Live: A Novel Web-based Audience Response Tool to Promote Evidence-based Learning

Psychometric Limitations of the Mini-Mental State Examination Among Nondemented Older Adults: An Evaluation of Neurocognitive and Magnetic Resonance Imaging Correlates

Making AI Even Smarter Using Ensembles: A Challenge to Future Challenges and Implications for Clinical Care

Economic and Environmental Costs of Cloud Technologies for Medical Imaging and Radiology Artificial Intelligence

Imaging evaluation of penetrating neck injuries

Clinical Impact and Generalizability of a Computer-Assisted Diagnostic Tool to Risk-Stratify Lung Nodules With CT

ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical Imaging

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