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CORR Synthesis: When Should We Be Skeptical of Clinical Prediction Models?

Clinical orthopaedics and related research, 2020-12, Vol.478 (12), p.2722-2728

2020

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Natural and Artificial Intelligence in Neurosurgery: A Systematic Review

Neurosurgery, 2018-08, Vol.83 (2), p.181-192

2018

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Machine Learning and Neurosurgical Outcome Prediction: A Systematic Review

World neurosurgery, 2018-01, Vol.109, p.476-486.e1

2018

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Development of Machine Learning Algorithms for Prediction of 30-Day Mortality After Surgery for Spinal Metastasis

Neurosurgery, 2019-07, Vol.85 (1), p.E83-E91

2019

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Predicting 90-Day and 1-Year Mortality in Spinal Metastatic Disease: Development and Internal Validation

Neurosurgery, 2019-10, Vol.85 (4), p.E671-E681

2019

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Development of machine learning algorithms to predict achievement of minimal clinically important difference for the KOOS‐PS following total knee arthroplasty

Journal of orthopaedic research, 2022-04, Vol.40 (4), p.808-815

2022

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Development and Internal Validation of Machine Learning Algorithms for Preoperative Survival Prediction of Extremity Metastatic Disease

Clinical orthopaedics and related research, 2020-02, Vol.478 (2), p.322-333

2020

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Wide range of applications for machine-learning prediction models in orthopedic surgical outcome: a systematic review

Acta orthopaedica, 2021-10, Vol.92 (5), p.526-531

2021

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Prognostic value of serum alkaline phosphatase in spinal metastatic disease

British journal of cancer, 2019-03, Vol.120 (6), p.640-646

2019

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Availability and reporting quality of external validations of machine-learning prediction models with orthopedic surgical outcomes: a systematic review

Acta orthopaedica, 2021-07, Vol.92 (4), p.385-393

2021

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Natural language processing for automated detection of incidental durotomy

The spine journal, 2020-05, Vol.20 (5), p.695-700

2020

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Predictors of reoperation after surgery for spinal epidural abscess

The spine journal, 2022-11, Vol.22 (11), p.1830-1836

2022

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Clockwise torque results in higher reoperation rates in left-sided femur fractures

Injury, 2023-07, Vol.54 (7), p.110757-110757, Article 110757

2023

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Prognostic significance of lab data and performance comparison by validating survival prediction models for patients with spinal metastases after radiotherapy

Radiotherapy and oncology, 2022-10, Vol.175, p.159-166

2022

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Development of Machine Learning Algorithms for Prediction of Sustained Postoperative Opioid Prescriptions After Total Hip Arthroplasty

The Journal of arthroplasty, 2019-10, Vol.34 (10), p.2272-2277.e1

2019

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Prediction of Postoperative Delirium in Geriatric Hip Fracture Patients: A Clinical Prediction Model Using Machine Learning Algorithms

Geriatric orthopaedic surgery & rehabilitation, 2021, Vol.12, p.21514593211062277-21514593211062277

2021

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Minimum Clinically Important Difference: A Metric That Matters in the Age of Patient-Reported Outcomes

Journal of bone and joint surgery. American volume, 2021-12, Vol.103 (24), p.2331

2021

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Predictors of Stroke and Coma After Neurosurgery: An ACS-NSQIP Analysis

World neurosurgery, 2016-09, Vol.93, p.299-305

2016

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Development of Machine Learning Algorithms to Predict Clinically Meaningful Improvement for the Patient-Reported Health State After Total Hip Arthroplasty

The Journal of arthroplasty, 2020-08, Vol.35 (8), p.2119-2123

2020

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Reply to Letter to the Editor: CORR Synthesis: When Should We Be Skeptical of Clinical Prediction Models?

Clinical orthopaedics and related research, 2022-11, Vol.480 (11), p.2274-2274

2022

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Introduction to The Spine Journal special issue on artificial intelligence and machine learning

The spine journal, 2021-10, Vol.21 (10), p.1601-1603

2021

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Diagnostic Performance of Artificial Intelligence for Detection of Anterior Cruciate Ligament and Meniscus Tears: A Systematic Review

Arthroscopy, 2021-02, Vol.37 (2), p.771-781

2021

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Predictors of Adverse Events for Ankle Fractures: An Analysis of 6800 Patients

The Journal of foot and ankle surgery, 2016-07, Vol.55 (4), p.762-766

2016

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National Databases for Neurosurgical Outcomes Research: Options, Strengths, and Limitations

Neurosurgery, 2018-09, Vol.83 (3), p.333-344

2018

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CORR Synthesis: When Should We Be Skeptical of Clinical Prediction Models?

Natural and Artificial Intelligence in Neurosurgery: A Systematic Review

Machine Learning and Neurosurgical Outcome Prediction: A Systematic Review

Development of Machine Learning Algorithms for Prediction of 30-Day Mortality After Surgery for Spinal Metastasis

Predicting 90-Day and 1-Year Mortality in Spinal Metastatic Disease: Development and Internal Validation

Development of machine learning algorithms to predict achievement of minimal clinically important difference for the KOOS‐PS following total knee arthroplasty

Development and Internal Validation of Machine Learning Algorithms for Preoperative Survival Prediction of Extremity Metastatic Disease

Wide range of applications for machine-learning prediction models in orthopedic surgical outcome: a systematic review

Prognostic value of serum alkaline phosphatase in spinal metastatic disease

Availability and reporting quality of external validations of machine-learning prediction models with orthopedic surgical outcomes: a systematic review

A machine learning algorithm for predicting prolonged postoperative opioid prescription after lumbar disc herniation surgery. An external validation study using 1,316 patients from a Taiwanese cohort

Natural language processing for automated detection of incidental durotomy

Predictors of reoperation after surgery for spinal epidural abscess

Clockwise torque results in higher reoperation rates in left-sided femur fractures

Prognostic significance of lab data and performance comparison by validating survival prediction models for patients with spinal metastases after radiotherapy

Development of Machine Learning Algorithms for Prediction of Sustained Postoperative Opioid Prescriptions After Total Hip Arthroplasty

Prediction of Postoperative Delirium in Geriatric Hip Fracture Patients: A Clinical Prediction Model Using Machine Learning Algorithms

Minimum Clinically Important Difference: A Metric That Matters in the Age of Patient-Reported Outcomes

Predictors of Stroke and Coma After Neurosurgery: An ACS-NSQIP Analysis

Development of Machine Learning Algorithms to Predict Clinically Meaningful Improvement for the Patient-Reported Health State After Total Hip Arthroplasty

Reply to Letter to the Editor: CORR Synthesis: When Should We Be Skeptical of Clinical Prediction Models?

Introduction to The Spine Journal special issue on artificial intelligence and machine learning

Diagnostic Performance of Artificial Intelligence for Detection of Anterior Cruciate Ligament and Meniscus Tears: A Systematic Review

Predictors of Adverse Events for Ankle Fractures: An Analysis of 6800 Patients

National Databases for Neurosurgical Outcomes Research: Options, Strengths, and Limitations

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