Artificial Intelligence and Predictive Modeling in Spinal Oncology: A Narrative Review

RH Kuijten, H Zijlstra, OQ Groot… - International Journal of …, 2023 - ijssurgery.com
Background Artificial intelligence (AI) tremendously influences our daily lives and the
medical field, changing the scope of medicine. One of the fields where AI, and, in particular …

Validation of Clinical Prediction Models and Study of the Role of Modern Therapies Using Real-World Data in Spine Oncology

EA Massaad - 2021 - search.proquest.com
With a rising incidence of cancer and improved life expectancy, more patients are being
diagnosed and surviving longer with spinal metastases. Spinal metastases can significantly …

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

AV Karhade - 2020 - search.proquest.com
Purpose: Preoperative prognostication of short-term postoperative mortality in patients with
spinal metastatic disease can improve shared decision making around end-of-life care. The …

Development of machine learning algorithms for prediction of 30-day mortality after surgery for spinal metastasis

AV Karhade, QCBS Thio, PT Ogink, AA Shah… - …, 2019 - journals.lww.com
BACKGROUND Preoperative prognostication of short-term postoperative mortality in
patients with spinal metastatic disease can improve shared decision making around end-of …

Utility of prediction model score: a proposed tool to standardize the performance and generalizability of clinical predictive models based on systematic review

J Ehresman, D Lubelski, Z Pennington, B Hung… - … of Neurosurgery: Spine, 2021 - thejns.org
OBJECTIVE The objective of this study was to evaluate the characteristics and performance
of current prediction models in the fields of spine metastasis and degenerative spine …

164. Development and validation of machine learning algorithms for predicting mortality following surgery for metastatic spine tumors: metastatic mortality scoring …

N Fatima, H Zheng, E Massaad, M Hadzipasic… - The Spine Journal, 2020 - Elsevier
BACKGROUND CONTEXT Preoperative prognostication of 30-day mortality in patients with
metastatic spine tumors can optimize surgical risk stratification and guide the decision …

Predictive Modeling for Spinal Metastatic Disease

AA Shah, JH Schwab - Diagnostics, 2024 - mdpi.com
Spinal metastasis is exceedingly common in patients with cancer and its prevalence is
expected to increase. Surgical management of symptomatic spinal metastasis is indicated …

A machine learning algorithm for predicting 6-week survival in spinal metastasis: an external validation study using 2,768 Taiwanese patients

CC Su, YP Lin, HK Yen, YT Pan, H Zijlstra… - JAAOS-Journal of the …, 2022 - journals.lww.com
Methods: Discrimination using area under the receiver operating characteristic curve,
calibration, Brier score, and decision curve analysis were conducted to assess the model's …

Fostering reproducibility and generalizability in machine learning for clinical prediction modeling in spine surgery

HK Yen, JJ Yang, OQ Groot, MH Yen, MH Hu - The Spine Journal, 2023 - Elsevier
Methods A total of 2,578 patients who underwent radiotherapy and/or surgery for spinal
metastasis between 2010 and-2018 at our institution were included [9]. Patients who treated …

A novel prediction tool for overall survival of patients living with spinal metastatic disease

X He, Y Jiao, X Yang, Y Hu - World Neurosurgery, 2020 - Elsevier
Objective To identify the significant prognostic factors for overall survival in patients with
spinal metastases and to establish an online widget for predicting survival with an interactive …