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A Clinical Reasoning-Encoded Case Library Developed through Natural Language Processing

Journal of general internal medicine : JGIM, 2023-01, Vol.38 (1), p.5-11

2023

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Classification for long-term survival in oligometastatic patients treated with ablative radiotherapy: A multi-institutional pooled analysis

PloS one, 2018-04, Vol.13 (4), p.e0195149

2018

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Interrater Reliability in Toxicity Identification: Limitations of Current Standards

International journal of radiation oncology, biology, physics, 2020-08, Vol.107 (5), p.996-1000

2020

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Implementation of machine learning in the clinic: challenges and lessons in prospective deployment from the System for High Intensity EvaLuation During Radiation Therapy (SHIELD-RT) randomized controlled study

BMC bioinformatics, 2022-09, Vol.23 (Suppl 6), p.1-408, Article 408

2022

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Pulmonary Ventilation Imaging Based on 4-Dimensional Computed Tomography: Comparison With Pulmonary Function Tests and SPECT Ventilation Images

International journal of radiation oncology, biology, physics, 2014-10, Vol.90 (2), p.414-422

2014

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Stereotactic body radiation therapy versus sublobar resection for stage I NSCLC

Lung cancer (Amsterdam, Netherlands), 2018-11, Vol.125, p.185-191

2018

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Artificial Intelligence in Radiotherapy Treatment Planning: Present and Future

Technology in Cancer Research & Treatment, 2019, Vol.18, p.1533033819873922-1533033819873922

2019

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A nomogram to predict loco-regional control after re-irradiation for head and neck cancer

Radiotherapy and oncology, 2014-06, Vol.111 (3), p.382-387

2014

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Opportunities to use electronic health record audit logs to improve cancer care

Cancer medicine (Malden, MA), 2022-09, Vol.11 (17), p.3296-3303

2022

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Severe extra-glandular involvement and pleural effusions complicating primary Sjogren’s syndrome: a case report

Journal of medical case reports, 2022-10, Vol.16 (1), p.1-374, Article 374

2022

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Reproducibility of Four-dimensional Computed Tomography-based Lung Ventilation Imaging

Academic radiology, 2012-12, Vol.19 (12), p.1554-1565

2012

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Characterizing chronological accumulation of comorbidities in healthy veterans: a computational approach

Scientific reports, 2021-04, Vol.11 (1), p.8104-11, Article 8104

2021

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COVID‐19 outcomes in patients with cancer: Findings from the University of California health system database

Cancer medicine (Malden, MA), 2022-06, Vol.11 (11), p.2204-2215

2022

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Healthcare provider evaluation of machine learning-directed care: reactions to deployment on a randomised controlled study

BMJ health & care informatics, 2023-02, Vol.30 (1), p.e100674

2023

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High Retention and Safety of Percutaneously Implanted Endovascular Embolization Coils as Fiducial Markers for Image-Guided Stereotactic Ablative Radiotherapy of Pulmonary Tumors

International journal of radiation oncology, biology, physics, 2011-09, Vol.81 (1), p.85-90

2011

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Risk of Cerebrovascular Events in Elderly Patients After Radiation Therapy Versus Surgery for Early-Stage Glottic Cancer

International journal of radiation oncology, biology, physics, 2013-10, Vol.87 (2), p.290-296

2013

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Strategies to Turn Real-world Data Into Real-world Knowledge

JAMA network open, 2021-10, Vol.4 (10), p.e2128045-e2128045

Hong, Julian C

2021

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Unplanned Hospitalization Prediction During Chemoradiotherapy Via Machine Learning Classifiers—Reply

JAMA oncology, 2024-10, Vol.10 (10), p.1442

2024

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Determinants of Symptomatic Intracranial Progression After an Initial Stereotactic Radiosurgery Course

Advances in radiation oncology, 2024-06, Vol.9 (6), p.101475-101475, Article 101475

2024

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AI Use May Improve Treatment Outcomes in Prostate Cancer

Oncology (Williston Park, N.Y.), 2024-08, Vol.38 (8), p.309

2024

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AI Use in Prostate Cancer: Potential Improvements in Treatments and Patient Care

Oncology (Williston Park, N.Y.), 2024-05, Vol.38 (5), p.208-209

2024

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System for High-Intensity Evaluation During Radiation Therapy (SHIELD-RT): A Prospective Randomized Study of Machine Learning-Directed Clinical Evaluations During Radiation and Chemoradiation

Journal of clinical oncology, 2020-11, Vol.38 (31), p.3652-3661

2020

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Unlocking the Power of ChatGPT, Artificial Intelligence, and Large Language Models: Practical Suggestions for Radiation Oncologists

Practical Radiation Oncology, 2023-11, Vol.13 (6), p.e484-e490

2023

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The expanding role of stereotactic body radiation therapy in oligometastatic solid tumors: what do we know and where are we going?

Cancer treatment reviews, 2017-01, Vol.52, p.22-32

2017

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Closing the Gap Between Machine Learning and Clinical Cancer Care-First Steps Into a Larger World

JAMA oncology, 2020-11, Vol.6 (11), p.1731

2020

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A Clinical Reasoning-Encoded Case Library Developed through Natural Language Processing

Classification for long-term survival in oligometastatic patients treated with ablative radiotherapy: A multi-institutional pooled analysis

Interrater Reliability in Toxicity Identification: Limitations of Current Standards

Implementation of machine learning in the clinic: challenges and lessons in prospective deployment from the System for High Intensity EvaLuation During Radiation Therapy (SHIELD-RT) randomized controlled study

Pulmonary Ventilation Imaging Based on 4-Dimensional Computed Tomography: Comparison With Pulmonary Function Tests and SPECT Ventilation Images

Stereotactic body radiation therapy versus sublobar resection for stage I NSCLC

Artificial Intelligence in Radiotherapy Treatment Planning: Present and Future

A nomogram to predict loco-regional control after re-irradiation for head and neck cancer

Opportunities to use electronic health record audit logs to improve cancer care

Severe extra-glandular involvement and pleural effusions complicating primary Sjogren’s syndrome: a case report

Reproducibility of Four-dimensional Computed Tomography-based Lung Ventilation Imaging

Characterizing chronological accumulation of comorbidities in healthy veterans: a computational approach

COVID‐19 outcomes in patients with cancer: Findings from the University of California health system database

Healthcare provider evaluation of machine learning-directed care: reactions to deployment on a randomised controlled study

High Retention and Safety of Percutaneously Implanted Endovascular Embolization Coils as Fiducial Markers for Image-Guided Stereotactic Ablative Radiotherapy of Pulmonary Tumors

Risk of Cerebrovascular Events in Elderly Patients After Radiation Therapy Versus Surgery for Early-Stage Glottic Cancer

Strategies to Turn Real-world Data Into Real-world Knowledge

Unplanned Hospitalization Prediction During Chemoradiotherapy Via Machine Learning Classifiers—Reply

Determinants of Symptomatic Intracranial Progression After an Initial Stereotactic Radiosurgery Course

AI Use May Improve Treatment Outcomes in Prostate Cancer

AI Use in Prostate Cancer: Potential Improvements in Treatments and Patient Care

System for High-Intensity Evaluation During Radiation Therapy (SHIELD-RT): A Prospective Randomized Study of Machine Learning-Directed Clinical Evaluations During Radiation and Chemoradiation

Unlocking the Power of ChatGPT, Artificial Intelligence, and Large Language Models: Practical Suggestions for Radiation Oncologists

The expanding role of stereotactic body radiation therapy in oligometastatic solid tumors: what do we know and where are we going?

Closing the Gap Between Machine Learning and Clinical Cancer Care-First Steps Into a Larger World

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